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Application of gel based on medical image inspection in total closure resection of oral cancer patients Med. Eng. Phys. (IF 2.2) Pub Date : 2024-03-04 Yanming Wang, Wei Zhang, Ning Song, Liangjia Bi, Peisong Meng
Oral cancer is a common malignant tumor, and total closed resection is a common treatment. However, it has always been a challenge to determine the exact extent of excision during surgery. The application of medical image examination in surgery can provide important reference information, but the current methods still have some limitations. This study explored the application of gels based on medical
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Advanced Hybrid Attention-Based Deep Learning Network with Heuristic Algorithm for Adaptive CT and PET Image Fusion in Lung Cancer Detection Med. Eng. Phys. (IF 2.2) Pub Date : 2024-03-04 P. Shyamala Bharathi, C. Shalini
Lung cancer is one of the most deadly diseases in the world. Lung cancer detection can save the patient's life. Despite being the best imaging tool in the medical sector, clinicians find it challenging to interpret and detect cancer from Computed Tomography (CT) scan data. One of the most effective ways for the diagnosis of certain malignancies like lung tumours is Positron Emission Tomography (PET)
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Critical Loss of Primary Implant Stability in Osteosynthesis Locking Screws under Cyclic Overloading Med. Eng. Phys. (IF 2.2) Pub Date : 2024-03-04 Juan D. Silva-Henao, Sophie Schober, Dieter H. Pahr, Andreas G. Reisinger
Primary implant stability, which refers to the stability of the implant during the initial healing period is a crucial factor in determining the long-term success of the implant and lays the foundation for secondary implant stability achieved through osseointegration. Factors affecting primary stability include implant design, surgical technique, and patient-specific factors like bone quality and morphology
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Investigation of stair ascending and descending activities on the lifespan of hip implants Med. Eng. Phys. (IF 2.2) Pub Date : 2024-03-03 Alican Tuncay Alpkaya, Mehmet Arda Yılmaz, Ahmet Mert Sahin, Dr. Şenay Mihçin
Total hip arthroplasty (THA) surgeries among young patients are on the increase, so it is crucial to predict the lifespan of hip implants correctly and produce solutions to improve longevity. Current implants are designed and tested against walking conditions to predict the wear rates. However, it would be reasonable to include the additional effects of other daily life activities on wear rates to
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Medical CT image diagnosis and simulation of drug sedation during ultrasound-guided transbronchial needle aspiration process Med. Eng. Phys. (IF 2.2) Pub Date : 2024-03-03 Xuan Kang, Xinlei Zhang, Yuqing Wu, Luchen Li, Pan Chen, Mingjian Kong
CT image diagnosis is widely used in clinical practice, but the effect of drug sedation during bronchial aspiration has not been fully simulated and studied. The aim of this study was to simulate the effect of drug sedation in the process of transbronchial needle aspiration guided by medical CT images in order to explore its potential effect in clinical application. A diagnostic model based on medical
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Surgical treatment of small recurrent gliomas based on MR imaging examination Med. Eng. Phys. (IF 2.2) Pub Date : 2024-03-03 Shukun Hu, Liqian Xie, Yi Zhang
Microrecurrent glioma is a common neurological tumor, and the key to its surgical treatment is to accurately evaluate the size, location and degree of recurrence of the lesion. The purpose of this study was to explore the surgical treatment of microrecurrent glioma based on MR Imaging, and to provide accurate and reliable basis for clinical decision-making. Before surgery, detailed MR Imaging tests
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Advancing Fetal Ultrasound Diagnostics: Innovative Methodologies for Improved Accuracy in Detecting Down Syndrome Med. Eng. Phys. (IF 2.2) Pub Date : 2024-03-02 Dinesh Mavaluru, Sahithya Ravali Ravula, Jerlin Priya Lovelin Auguskani, Santhi Muttipoll Dharmarajlu, Amutha Chellathurai, Jayabrabu Ramakrishnan, Bharath Kumar Mamilla Mugaiahgari, Nadana Ravishankar
This research work explores the integration of medical and information technology, particularly focusing on the use of data analytics and deep learning techniques in medical image processing. Specifically, it addresses the diagnosis and prediction of fetal conditions, including Down Syndrome (DS), through the analysis of ultrasound images. Despite existing methods in image segmentation, feature extraction
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Deep learning approach to improve the recognition of hand gesture with multi force variation using electromyography signal from amputees Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-28 Triwiyanto Triwiyanto, I. Putu Alit Pawana, Wahyu Caesarendra
Variations in muscular contraction are known to significantly impact the quality of the generated EMG signal and the output decision of a proposed classifier. This is an issue when the classifier is further implemented in prosthetic hand design. Therefore, this study aims to develop a deep learning classifier to improve the classification of hand motion gestures and investigate the effect of force
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In-silico simulations to study the effects of ankle-joint misalignments in Ankle-Foot-Orthoses during level walking Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-27 Vishal K. Badari, Ganesh M. Bapat
Exoskeletons and orthotic devices are commonly used in physical rehabilitation. However, these devices, fitting intimately with the human body, often lead to skin-related issues amongst users. Misalignments between orthotic and anatomical joints cause relative sliding motion between the limb and orthosis and also cause pressure points on the limb, which may contribute to these skin problems. This research
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Automated 2D and 3D Finite Element Overclosure Adjustment and Mesh Morphing Using Generalized Regression Neural Networks Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-27 Thor E. Andreassen, Donald R. Hume, Landon D. Hamilton, Sean E. Higinbotham, Kevin B. Shelburne
Computer representations of three-dimensional (3D) geometries are crucial for simulating systems and processes in engineering and science. In medicine, and more specifically, biomechanics and orthopaedics, obtaining and using 3D geometries is critical to many workflows. However, while many tools exist to obtain 3D geometries of organic structures, little has been done to make them usable for their
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Design of a new detachable pedicle screw based on medical optical imaging inspection to improve osteoporosis and enhance vertebral body revision effect Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-27 Haipeng Xia, Chao Zhou, Yanguo Wang, Yanping Zheng
Osteoporosis is a common bone disease that often leads to difficulty in vertebrae revision. Traditional pedicle screws are often complicated to operate and have poor visibility during implantation. A new detachable pedicle screw is needed to improve the revision effect. The aim of this study was to design a new detachable pedicle screw based on medical optical imaging to improve the outcome of vertebral
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A Novel Liver Cancer POC Diagnostic Detection Technique by a Gate-engineered Source-extended TFET Device Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-27 Anirban Kolay, Amitesh Kumar
This work reports a novel POC diagnostic technique to identify the cancerous liver cell lines by designing a Source-Extended (SE) Tunnel Field Effect Transistor (TFET) having a Single-Gate (SG) with Single-Metal (SM) and Dual-Metal (DM) structure. The proposed structures have been equipped with nanocavities by trenching the gate oxide layer where the needle biopsy obtained liver sample has been immobilized
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Computational modelling of articular joints with biphasic cartilage: recent advances, challenges and opportunities Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-27 Junyan Li, Jinghao Xu, Zhenxian Chen, Yongtao Lu, Xijin Hua, Zhongmin Jin
Biphasic models have been widely used to simulate the time-dependent biomechanical response of soft tissues. Modelling techniques of joints with biphasic weight-bearing soft tissues have been improved markedly over the last decade, enhancing our understanding of the function, degenerative mechanism and outcomes of interventions of joints. This paper reviews the recent advances, challenges and opportunities
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Treatment of Pauwels III femoral neck fracture in young patients using biplane double support screw internal fixation technology based on X-ray image Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-27 Diping Cao, Jie Yin, Pei Yu, Chao Li, Hantao Yuan, Wenbo Sheng, Sibo Li
Traditional treatment methods have certain limitations. In recent years, the technique of internal fixation with double-plane double-supported screws based on X-ray images has been proposed to improve the therapeutic effect. The main objective of this research was to examine the effectiveness of the X-ray image-based bi-planar double-braced screw internal fixation technique . During surgery, the procedure
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Experimental Investigation of Ultrasonic Assisted Coating on Three-point Bending Behavior of 3D Printed Polymeric Bone Plates for Biomedical Applications Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-27 Shrutika Sharma, Vishal Gupta, Deepa Mudgal
3D printed Poly Lactic Acid (PLA) bone plates exhibit limited three-point bending strength, restricting their viability in biomedical applications. The application of polydopamine (PDM) enhances the three-point bending strength by undergoing covalent interactions with PLA molecular structure. However, the heavy nature of PDM particles leads to settling at the container base at higher coating solution
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Novel tetrapolar single-needle electrode for electrochemotherapy in bone cavities: Modeling, design and validation Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-21 Lucas B. Lopes, Guilherme B. Pintarelli, Raul Guedert, Daniella L.L.S. Andrade, Afrânio C. Antonio, Clara T.S. Ramos, Jéssica R. da Silva, Marcelo M.M. Rangel, Daniela O.H. Suzuki
Electrochemotherapy is a cancer treatment in which local pulsed electric fields are delivered through electrodes. The effectiveness of the treatment depends on exposing the tumor to a threshold electric field. Electrode geometry plays an important role in the resulting electric field distribution, especially in hard-to-reach areas and deep-seated tumors. We designed and developed a novel tetrapolar
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Prototype and evaluation of automatic fingertip-blood-sampling system that uses fingertip blood-vessel images to determine puncture position Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-21 Kei Takenaka, Yuji Oyamada, Masahiro Kato, Akio Nagasaka, Junpei Hokari, Takashi Irie, Nobuhiro Tsukada, Atsushi Yanagida
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The reliability and validity of a novel wearable inertial sensor to measure the cervical proprioception Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-20 Jialin Wang, Ruirui Wang, Peng Zhao, Tianran Han, Xinwen Cui, Yuwei He, Meng Li
Proprioceptive function assessment is crucial in clinical practice for patients with chronic non-specific neck pain (CNNP) as it is a major issue affecting their condition. To verify the reliability and validity of baiobit sensor in measuring the neck proprioceptive function of CNNP patients. Fifty-three CNNP patients were recruited (36 females, 17 males; age range 21-60 years) and were assessed for
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A compressomyograph train of four monitoring device Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-19 Shu Guo, Joe Moore, Lee Moradi, Eric Rosero, Ahmet C. Sabuncu
The monitoring of the neuromuscular blockade is critical for patient's safety during and after surgery. The monitoring of neuromuscular blockade often requires the use of Train of Four (TOF) technique. During a TOF test two electrodes are attached to the ulnar nerve, and a series of four electric pulses are applied. The electrical stimulation causes the thumb to twitch, and the amount of twitch varies
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In silico parametric analysis of femoro-jugular venovenous ECMO and return cannula dynamics Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-18 Louis P. Parker, Anders Svensson Marcial, Torkel B. Brismar, Lars Mikael Broman, Lisa Prahl Wittberg
: Increasingly, computational fluid dynamics (CFD) is helping explore the impact of variables like: cannula design/size/position/flow rate and patient physiology on venovenous (VV) extracorporeal membrane oxygenation (ECMO). Here we use a CFD model to determine what role cardiac output (CO) plays and to analyse return cannula dynamics. : Using a patient-averaged model of the right atrium and venae
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Bio-convective Maxwell Ferrofluid Flow Over a Flexible Spinning Surface Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-16 Anupam Bhandari
The current research findings will have potential applications in the development of drug-targeted and self-sterilizing technologies. This research investigates the bio-convective flow of Maxwell ferrofluid over a flexible spinning plate in the presence of a stationary magnetic field in this paper. This theoretical model is based on the Cattaneo-Christov theories, the Buongiorno microorganism model
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Topology optimization of embracing fixator considering bone remodeling to mitigate stress shielding effect Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-16 Wanyue Xiong, Xiaohong Ding, Heng Zhang, Tiannan Hu, Shipeng Xu, Pengyun Duan, Baixuan Huang
The embracing fixator is one of the widely used internal fixation implants for bone fracture treatment. However, the stress shielding effect, a stress imbalance between the implant and bone caused by the mismatch in mechanical properties between them, is a significant and critical issue that may lead to treatment failure. Thus, it is of great importance to design the implant with an appropriate stiffness
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Tailoring Left Ventricular Assist Device Cannula Implantation Using Coupled Multi-Scale Multi-Objective Optimization Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-16 Abubakar Dankano, Ray Prather, Blake Lozinski, Eduardo Divo, Alain Kassab, William DeCampli
: The frequent occurrence of thromboembolic cerebral events continues to limit the widespread implementation of Ventricular Assist Devices (VAD) despite continued advancements in VAD design and anti-coagulation treatments. Recent studies point to the optimal positioning of the outflow graft (OG) as a potential mitigator of post implantation thromboembolism. : This study aims to examine the tailoring
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AFANet: Adaptive feature aggregation for polyp segmentation Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-15 Dangguo Shao, Haiqiong Yang, Cuiyin Liu, Lei Ma
In terms of speed and accuracy, the deep learning-based polyp segmentation method is superior. It is essential for the early detection and treatment of colorectal cancer and has the potential to greatly reduce the disease's overall prevalence. Due to the various forms and sizes of polyps, as well as the blurring of the boundaries between the polyp region and the surrounding mucus, most existing algorithms
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Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-15 Ronghui Tian, Guoxiu Lu, Shiting Tang, Liang Sang, He Ma, Wei Qian, Wei Yang
This study aims to establish an effective benign and malignant classification model for breast tumor ultrasound images by using conventional radiomics and transfer learning features. We collaborated with a local hospital and collected a base dataset (Dataset A) consisting of 1050 cases of single lesion 2D ultrasound images from patients, with a total of 593 benign and 357 malignant tumor cases. The
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A Finite Element Model for investigating the influence of keel design and position on unicompartmental knee replacement cementless tibial component fixation Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-15 Alexander MacAulay, Azmi Rahman, Laurence Marks, David W. Murray, Stephen J. Mellon
The cementless Oxford Unicompartmental Knee Replacement (OUKR) tibial component relies on an interference fit to achieve initial fixation. The behaviour at the implant-bone interface is not fully understood and hence modelling of implants using Finite Element (FE) software is challenging. With a goal of exploring alternative implant designs with lower fracture risk and adequate fixation, this study
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Improvement of postural control in the frail older adults through foot care: A pre- and post-intervention study Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-15 Tomoko Yamashita, Kazuhiko Yamashita, Mitsuru Sato, Shingo Ata
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Accuracy of instrument tip position using fiber optic shape sensing for navigated bronchoscopy Med. Eng. Phys. (IF 2.2) Pub Date : 2024-02-14 Reidar Brekken, Erlend Fagertun Hofstad, Ole Vegard Solberg, Geir Arne Tangen, Håkon Olav Leira, Lucian Gruionu, Thomas Langø
The purpose of this study was to evaluate the accuracy of a method for estimating the tip position of a fiber optic shape-sensing (FOSS) integrated instrument being inserted through a bronchoscope. A modified guidewire with a multicore optical fiber was inserted into the working channel of a custom-made catheter with three electromagnetic (EM) sensors. The displacement between the instruments was manually
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The influence of blood velocity and vessel geometric parameters on wall shear stress Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-28 Fangjia Pan, Naoko Mori, Shunji Mugikura, Makoto Ohta, Hitomi Anzai
Vascular geometry was proposed to be one risk factor of atherosclerosis (AS). When developing this hypothesis, the discussion of geometry-wall shear stress (WSS) has often been included. However, further exploration on how various geometric parameters were affecting WSS was needed. The purpose of this study was to investigate the influence degree of vessel geometric parameters and blood velocity on
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Establishing error bounds for internal calibration of quantitative computed tomography Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-18 Bryn E. Matheson, Nathan J. Neeteson, Steven K. Boyd
Opportunistic computed tomography (CT) scans, which can assess relevant osteoporotic bones of interest, offer a potential solution for identifying osteoporotic individuals. CT scans usually do not contain calibration phantoms, so internal calibration methods have been developed to create a voxel-specific density calibration that can be used in opportunistic CT. It remains a challenge, however, to account
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A novel deep learning approach for early detection of cardiovascular diseases from ECG signals Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-18 ST. Aarthy, J.L. Mazher Iqbal
Cardiovascular diseases, often asymptomatic until severe, pose a significant challenge in medical diagnosis. Despite individuals' normal outward appearance and routine activities, subtle indications of these diseases can manifest in the electrocardiogram (ECG) signals, often overlooked by standard interpretation. Current machine learning models have been ineffective in discerning these minor variations
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Selectively coated contact lenses by nanoelectrospray (nES) to fabricate drug-eluting contact lenses for treating ocular diseases Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-18 Chak Hin Tam, Matthew S. Alexander, Julie Sanderson, Sheng Qi
Drug-eluting contact lenses (DECLs) incorporated with poly(lactic-co-glycolic acid) (PLGA) and various model drugs (ketotifen fumarate, bimatoprost and latanoprost) were fabricated using nanoelectrospray (nES) approach. The resulting DECLs demonstrated outstanding optical transmittance within the optical zone, indicating that the employed coating procedure did not compromise visual acuity under the
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Automated detection of depression using wavelet scattering networks Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-17 Nishant Sharma, Manish Sharma, Jimit Tailor, Arth Chaudhari, Deepak Joshi, U Rajendra Acharya
Today, depression is a common problem that affects many people all over the world. It can impact a person's mood and quality of life unless identified and treated immediately. Due to the hectic and stressful modern life seems to be, depression has become a leading cause of mental health illnesses. Signals from electroencephalograms (EEG) are frequently used to detect depression. It is difficult, time-consuming
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Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-15 Guilherme Santos da Silva, Dalcimar Casanova, Jefferson Tales Oliva, Erick Oliveira Rodrigues
In recent years, research has highlighted the association between increased adipose tissue surrounding the human heart and elevated susceptibility to cardiovascular diseases such as atrial fibrillation and coronary heart disease. However, the manual segmentation of these fat deposits has not been widely implemented in clinical practice due to the substantial workload it entails for medical professionals
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Can segmental bioelectrical impedance be used as a measure of muscle quality? Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-10 Kealey J. Wohlgemuth, Todd J. Freeborn, Kathyrn E. Southall, McKenzie M. Hare, Jacob A. Mota
Recent works have shown bioelectrical impedance spectroscopy (BIS) may assess tissue quality. The purpose of this project was to examine associations between ultrasound echo intensity (EI) of quadriceps muscles (vastus lateralis [VL], vastus medialis [VM], vastus intermedius [VI], rectus femoris [RF]) and BIS parameters (R0, R1, C, α, fp), and if the associations are specific to individual muscles
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ECG arrhythmia detection in an inter-patient setting using Fourier decomposition and machine learning Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-09 Binish Fatimah, Amit Singhal, Pushpendra Singh
ECG beat classification or arrhythmia detection through artificial intelligence (AI) is an active topic of research. It is vital to recognize and detect the type of arrhythmia for monitoring cardiac abnormalities. The AI-based ECG beat classification algorithms proposed in the literature suffer from two main drawbacks. Firstly, some of the works have not considered any unseen test data to validate
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SRT: Swin-residual transformer for benign and malignant nodules classification in thyroid ultrasound images Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-09 Long Huang, Yanran Xu, Shuhuan Wang, Liang Sang, He Ma
With the advancement of deep learning technology, computer-aided diagnosis (CAD) is playing an increasing role in the field of medical diagnosis. In particular, the emergence of Transformer-based models has led to a wider application of computer vision technology in the field of medical image processing. In the diagnosis of thyroid diseases, the diagnosis of benign and malignant thyroid nodules based
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On the relation between tidal and forced spirometry Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-08 Rutger H.J. Hebbink, Judith Elshof, Peter J. Wijkstra, Marieke L. Duiverman, Rob Hagmeijer
Spirometry is a lung function test involving deep inhalation and forceful deep exhalation. It is widely used to obtain objective information about airflow limitation and to diagnose lung diseases. In contrast, tidal spirometry is based on normal breathing and therefore much more convenient, but it is hardly used in medical care and its relation with conventional (forced) spirometry is largely unknown
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A digital process to replicate the socket-foot alignment in below-knee running specific prostheses Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-11 Andrea Giovanni Cutti, Maria Grazia Santi, Francesca Gariboldi, Fabrizio Giacchi, Dimitri Cardin, Nicola Petrone, Gregorio Teti
A well-fitting socket and a fine-tuned foot alignment are crucial elements in a running-specific prosthesis to allow Paralympic athletes with below-knee amputation to express their full competitive potential. For this reason, once a satisfactory socket-foot configuration is established after dynamic alignment, it is fundamental to reproduce the same conditions when constructing the definitive carbon
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Automated digital templating of component sizing is accurate in robotic total hip arthroplasty when compared to predicate software Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-10 Graham B.J. Buchan, Christian J. Hecht, Sebastian Rodriguez-Elizalde, Tamon Kabata, Atul F. Kamath
Accurate pre-operative templating of prosthesis components is an essential factor in successful total hip arthroplasty (THA), including robotically-assisted THA (RA-THA) techniques. We sought to validate the accuracy of a novel, robotic-optimized THA planning software compared to a predicate THA planner for component sizing. We analyzed a series of 199 patients who received manual THA (mTHA) and fluoroscopy-based
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Mechanical load applied by Intraosseous Transcutaneous Amputation Prosthesis (ITAP) during walking on level and sloped treadmill: A case study. Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-05 K. Ahmed, M. Thornton, S.J.G. Taylor
This proof of concept study presents a method to collect and analyse kinetic data from one participant with a transfemoral amputation fitted with a percutaneous osseointegrated implant walking on a level and sloped treadmill. We describe the construction of and results from a bespoke wireless six axis load cell built into one participant's prosthetic assembly. The load cell does not clinically compromise
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Finite element investigation of the influence of a new transpedicular vertebral implant positioning on biomechanical responses of the spine segment Med. Eng. Phys. (IF 2.2) Pub Date : 2024-01-02 Ridha Hambli, Reade De Leacy, François Cornelis, Cécile Vienney
The optimal positioning of an implant into a living organ such as femurs and vertebra is still an open problem. In particular, vertebral implant position has a significant impact on the results on spine behaviour after treatment in terms of stiffness, range of motion (ROM), wear, loosening and failure. In the current work, a 3D finite element analysis was conducted to investigate the positioning parameters
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Maximum abdominal excursion assessment using an abdominal excursion measuring device: Reliability and validity of a new device for simple and quantitative assessment of respiratory function Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-27 Daisuke Tashiro, Yutaro Oki, Natsuha Nonomura, Yuki Takeyama, Tohmi Osaki, Yosuke Morimoto
This study aimed to verify the reliability and validity of abdominal expansion and respiratory function measurements. Forty healthy adult males underwent lung capacity, effort lung capacity, respiratory muscle strength, cough strength, diaphragm ultrasound, and abdominal expansion measurements. Abdominal expansion was measured using a device developed to accurately evaluate abdominal movements and
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Study of Tissue Damage Induced by Insertion of Composite-Coated Needle Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-23 Kavi Patel, Parsaoran Hutapea
Medical interventions have significantly progressed in developing minimally invasive techniques like percutaneous procedures. These procedures include biopsy and internal radiation therapy, where a needle or needle-like medical device is inserted through the skin to access a target inside the body. Ensuring accurate needle insertion and minimizing tissue-damage or cracks are critical in these procedures
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The gait1415+2 OpenSim musculoskeletal model of osseointegrated transfemoral amputees Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-22 Raffaella Carloni, Rutger Luinge, Vishal Raveendranathan
This short communication presents the gait1415+2 musculoskeletal model, that has been developed in OpenSim to describe the lower-extremity of a human subject with transfemoral amputation wearing a generic lower-limb bone-anchored prosthesis. The model has fourteen degrees of freedom, governed by fifteen musculotendon units (placed at the contralateral and residual limbs) and two generic actuators (one
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Exploring the potential of Physics-Informed Neural Networks to extract vascularization data from DCE-MRI in the presence of diffusion Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-21 D. Sainz-DeMena, M.A. Pérez, J.M. García-Aznar
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used to assess tissue vascularization, particularly in oncological applications. However, the most widely used pharmacokinetic (PK) models do not account for contrast agent (CA) diffusion between neighboring voxels, which can limit the accuracy of the results, especially in cases of heterogeneous tumors. To address this issue
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The clinical applicability of sensor technology with body position detection to combat pressure ulcers in bedridden patients Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-23 Tim M.N. van Helden, Johan W. van Neck, Sarah L. Versnel, Marc A.M. Mureau, Anne-Margreet van Dishoeck
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ExoMechHand prototype development and testing with EMG signals for hand rehabilitation Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-23 Ajdar Ullah, Asim Waris, Uzma Shafiq, Niaz B Khan, Quratulain Saeed, Naureen Tassadaq, Owais Qasim, Hafiz T Ali
Rehabilitation is a major requirement to improve the quality of life and mobility of patients with disabilities. The use of rehabilitative devices without continuous supervision of medical experts is increasing manifold, mainly due to prolonged therapy costs and advancements in robotics. Due to ExoMechHand's inexpensive cost, high robustness, and efficacy for participants with median and ulnar neuropathies
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Magnetism-enhanced biomaterial Mg guide wire by MAP process for development of catheter insertion Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-23 Sieb Chanchamnan, Jeong Su Kim, Hongcheol Im, Hwi-Joong Kim, Lida Heng, Sang Don Mun
The surface topography of implant tools has indicated an interfacial contact in degradation still being discovered; however, the glossy texture of a tiny magnesium wire is important for absorbable medical devices. This paper investigated the alterations of surface quality by a magnetic abrasive polishing method using a rotational magnetic field-assisted system with input parameters of revolution, abrasive
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Deep learning radiomics on shear wave elastography and b-mode ultrasound videos of diaphragm for weaning outcome prediction Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-17 Changchun Li, Yan Liu, Rui Dong, Tianjie Zhang, Ye Song, Qi Zhang
Purpose We proposed an automatic method based on deep learning radiomics (DLR) on shear wave elastography (SWE) and B-mode ultrasound videos of diaphragm for two classification tasks, one for differentiation between the control and patient groups, and the other for weaning outcome prediction. Materials and Methods We included a total of 581 SWE and B-mode ultrasound videos, of which 466 were from the
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Effects of open and minimally invasive Transforaminal Lumbar Interbody Fusion (TLIF) surgical techniques on mechanical behaviour of fused L3-L4 FSU: A comparative finite element study Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-12 Kishore Pradeep, Bidyut Pal
For predicting the biomechanical effects of the fusion procedure, finite element (FE) analysis is widely used as a preclinical tool. Although several FE studies examined the efficacies of various fusion surgical techniques, comparative studies on Open and minimally invasive (MIS) transforaminal lumbar interbody fusion (TLIF) procedures incorporating a follower coordinate system have not been investigated
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Computational study on the effects of central retinal blood vessels with asymmetric geometries on optic nerve head biomechanics Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-12 Tomohiro Otani, Kota Miyata, Atsuya Miki, Shigeo Wada
Optic nerve head (ONH) biomechanics are associated with glaucoma progression and have received considerable attention. Central retinal vessels (CRVs) oriented asymmetrically in the ONH are the single blood supply source to the retina and are believed to act as mechanically stable elements in the ONH in response to intraocular pressure (IOP). However, these mechanical effects are considered negligible
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On the mechanics of monofilaments used in touch sensory perception Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-14 Lawrence N. Virgin
The buckling of a slender monofilament is a standard clinical method used to assess touch sensory perception, with specific applications to somatosensory impairment in patients after a stroke, detecting carpal tunnel syndrome, and as a prognosis tool for diabetic peripheral neuropathy. The basis of this approach is the Semmes-Weinstein monofilament, which comprises a calibrated set of thin, polycarbonate
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Design and fabrication of a novel 4D-printed customized hand orthosis to treat cerebral palsy Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-12 Mohsen Barmouz, Leire Viana Uribe, Qingfeng Ai, Bahman Azarhoushang
This research study is dedicated to additive manufacturing of the shape memory polymer hand orthosis to treat patients with cerebral palsy. The treatment process for cerebral palsy is a step-by-step process that needs different adjustments for the spastic hand to stretch it towards a normal posture, whereas meeting these requirements using conventional methods or complicated mechanisms is expensive
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Three-dimensional spine reconstruction from biplane radiographs using convolutional neural networks Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-12 Bo Li, Junhua Zhang, Qian Wang, Hongjian Li, Qiyang Wang
Purpose The purpose of this study was to develop and evaluate a deep learning network for three-dimensional reconstruction of the spine from biplanar radiographs. Methods The proposed approach focused on extracting similar features and multiscale features of bone tissue in biplanar radiographs. Bone tissue features were reconstructed for feature representation across dimensions to generate three-dimensional
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Malignant arrhythmias detection using a synthesis-by-analysis modeling method of arterial blood pressure signal Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-12 Yongxin Chou, Miao Yang, Yiyun Sun, Lijuan Chou, Yan Zhou, Aimin An
Extreme bradycardia, extreme tachycardia, ventricular flutter fib, and ventricular tachycardia are four malignant arrhythmias (MAs) that lead to sudden cardiac death. It is very important to detect them in daily life. The arterial blood pressure (ABP) signal contains abundant pathological information about four MAs and is easy to be recorded under domestic conditions. Thus, a synthesis-by-analysis
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Predicting spatio-temporal radiofrequency ablation temperature using deep neural networks Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-12 Hanife Tugba Kumru, Vitaly Gordin, Daniel Cortes
Radiofrequency ablation (RFA) of the medial branch nerve is a widely used therapeutic intervention for facet joint pain. However, denervation of the multifidus muscle is an inevitable consequence of RFA. New ablation techniques with the potential to prevent muscle denervation can be designed using computational simulations. However, depending on the complexity of the model, they could be computationally
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On the fatigue life of dental implants: Numerical and experimental investigation on configuration effect Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-07 Zahrae Abdoli, Bijan Mohammadi, Hamid Reza Karimi
Dental implants have seen widespread and successful use in recent years. Given their long-term application and the critical role of geometry in determining fracture and fatigue characteristics, fatigue assessments are of utmost importance for implant systems. In this study, nine dental implant system samples were subjected to testing in accordance with ISO 14801 standards. The tests included static
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Efficient feature selection based novel clinical decision support system for glaucoma prediction from retinal fundus images Med. Eng. Phys. (IF 2.2) Pub Date : 2023-12-07 Law Kumar Singh, Munish Khanna, Hitendra Garg, Rekha Singh
The process of feature selection (FS) is vital aspect of machine learning (ML) model's performance enhancement where the objective is the selection of the most influential subset of features. This paper suggests the Gravitational search optimization algorithm (GSOA) technique for metaheuristic-based FS. Glaucoma disease is selected as the subject of investigation as this disease is spreading worldwide