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A language to analyze, describe, and explore collections of visual art Vis. Comput. Ind. Biomed. Art Pub Date : 2021-03-01 Hermann Pflüger
A vast quantity of art in existence today is inaccessible to individuals. If people want to know the different types of art that exist, how individual works are connected, and how works of art are interpreted and discussed in the context of other works, they must utilize means other than simply viewing the art. Therefore, this paper proposes a language to analyze, describe, and explore collections
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Improvement in resolution of fiber-laser photoacoustic tomography based on a virtual-point concept Vis. Comput. Ind. Biomed. Art Pub Date : 2021-02-23 Xue Bai; Xu Li; Jun Ma; Bai-Ou Guan
In this study, a virtual-point concept was introduced into fiber-laser photoacoustic tomography to improve the elevational image resolution. The flexible fiber laser was bent into an arc shape to conform to the ultrasound wavefront, which formed an ultrasound focus at the center of the arc. The synthetic aperture focusing technique was utilized to reconstruct the images; as a result, the elevational
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Visual analysis of flow and diffusion of hemolytic agents and hematomas Vis. Comput. Ind. Biomed. Art Pub Date : 2021-01-30 Yafei Zhu; Mengyao Bao; Miaomiao Jiang; Jincai Chang; Jianzhong Cui
The elimination of intracranial hematomas has received widespread attention and the interactions between hemolytic agents and hematomas have become a hot research topic. In this study, we used the Navier-Stokes equation to describe the flow control equation for hemolytic agents in a tube and used Fick’s law and the Maxwell-Stefan diffusion theory to describe the diffusion and mass transfer of hemolytic
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Correction to: Classes of tree-based networks Vis. Comput. Ind. Biomed. Art Pub Date : 2021-01-26 Mareike Fischer; Lina Herbst; Michelle Galla; Yangjing Long; Kristina Wicke
An amendment to this paper has been published and can be accessed via the original article.
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High-speed high-resolution laser diode-based photoacoustic microscopy for in vivo microvasculature imaging Vis. Comput. Ind. Biomed. Art Pub Date : 2021-01-11 Xiufeng Li; Victor T C Tsang; Lei Kang; Yan Zhang; Terence T W Wong
Laser diodes (LDs) have been considered as cost-effective and compact excitation sources to overcome the requirement of costly and bulky pulsed laser sources that are commonly used in photoacoustic microscopy (PAM). However, the spatial resolution and/or imaging speed of previously reported LD-based PAM systems have not been optimized simultaneously. In this paper, we developed a high-speed and high-resolution
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Correction to: Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy Vis. Comput. Ind. Biomed. Art Pub Date : 2020-12-21 Yuanzheng Ma; Chang Lu; Kedi Xiong; Wuyu Zhang; Sihua Yang
An amendment to this paper has been published and can be accessed via the original article.
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Modified distance regularized level set evolution for brain ventricles segmentation Vis. Comput. Ind. Biomed. Art Pub Date : 2020-12-07 Thirumagal Jayaraman; Sravan Reddy M.; Manjunatha Mahadevappa; Anup Sadhu; Pranab Kumar Dutta
Neurodegenerative disorders are commonly characterized by atrophy of the brain which is caused by neuronal loss. Ventricles are one of the prominent structures in the brain; their shape changes, due to their content, the cerebrospinal fluid. Analyzing the morphological changes of ventricles, aids in the diagnosis of atrophy, for which the region of interest needs to be separated from the background
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Functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potential-inducing periodic facial expression stimuli presentation Vis. Comput. Ind. Biomed. Art Pub Date : 2020-12-01 Meng-Yun Wang; Anzhe Yuan; Juan Zhang; Yutao Xiang; Zhen Yuan
Brain oscillations are vital to cognitive functions, while disrupted oscillatory activity is linked to various brain disorders. Although high-frequency neural oscillations (> 1 Hz) have been extensively studied in cognition, the neural mechanisms underlying low-frequency hemodynamic oscillations (LFHO) < 1 Hz have not yet been fully explored. One way to examine oscillatory neural dynamics is to use
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Modeling of moral decisions with deep learning Vis. Comput. Ind. Biomed. Art Pub Date : 2020-11-20 Christopher Wiedeman; Ge Wang; Uwe Kruger
One example of an artificial intelligence ethical dilemma is the autonomous vehicle situation presented by Massachusetts Institute of Technology researchers in the Moral Machine Experiment. To solve such dilemmas, the MIT researchers used a classic statistical method known as the hierarchical Bayesian (HB) model. This paper builds upon previous work for modeling moral decision making, applies a deep
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Denouements of machine learning and multimodal diagnostic classification of Alzheimer’s disease Vis. Comput. Ind. Biomed. Art Pub Date : 2020-11-05 Binny Naik; Ashir Mehta; Manan Shah
Alzheimer’s disease (AD) is the most common type of dementia. The exact cause and treatment of the disease are still unknown. Different neuroimaging modalities, such as magnetic resonance imaging (MRI), positron emission tomography, and single-photon emission computed tomography, have played a significant role in the study of AD. However, the effective diagnosis of AD, as well as mild cognitive impairment
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Exploration of nature-based biomimetic approach in landscape architectural design: parametric study of candelabra model design Vis. Comput. Ind. Biomed. Art Pub Date : 2020-11-04 Biljana S. Jović; Anđela D. Mitić
This research provides an exploration of a biomimetic approach in the process of designing a candelabra model using linear shaped leaves of a Bell flower. The design process described in this research contains two steps: biological and geometrical. In the first biological step, a proper model for the creation of an urban element was found from nature in a Bell flower (Campanula persicifolia L.). The
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Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology Vis. Comput. Ind. Biomed. Art Pub Date : 2020-10-21 Shanshan Wang; Yunfeng Zhao; Ye Xu
Photoacoustic imaging (PAI) is often performed simultaneously with ultrasound imaging and can provide functional and cellular information regarding the tissues in the anatomical markers of the imaging. This paper describes in detail the basic principles of photoacoustic/ultrasound (PA/US) imaging and its application in recent years. It includes near-infrared-region PA, photothermal, photodynamic, and
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Visual order of Chinese ink paintings Vis. Comput. Ind. Biomed. Art Pub Date : 2020-10-12 Zhen-Bao Fan; Kang Zhang
Visual order is one of the key factors influencing the aesthetic judgment of artworks. This paper reports the results of evaluating the influence of extracted features on visual order in Chinese ink paintings, using a regression model. We use nine contemporary artists’ paintings as examples and extract features related to the visual order of their paintings. A questionnaire survey is conducted to collect
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Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy Vis. Comput. Ind. Biomed. Art Pub Date : 2020-09-30 Yuanzheng Ma; Chang Lu; Kedi Xiong; Wuyu Zhang; Sihua Yang
A micro-electromechanical system (MEMS) scanning mirror accelerates the raster scanning of optical-resolution photoacoustic microscopy (OR-PAM). However, the nonlinear tilt angular-voltage characteristic of a MEMS mirror introduces distortion into the maximum back-projection image. Moreover, the size of the airy disk, ultrasonic sensor properties, and thermal effects decrease the resolution. Thus,
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Systematic review and meta-analysis of augmented reality in medicine, retail, and games. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-09-16 Pranav Parekh,Shireen Patel,Nivedita Patel,Manan Shah
This paper presents a detailed review of the applications of augmented reality (AR) in three important fields where AR use is currently increasing. The objective of this study is to highlight how AR improves and enhances the user experience in entertainment, medicine, and retail. The authors briefly introduce the topic of AR and discuss its differences from virtual reality. They also explain the software
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Streamline pair selection for comparative flow field visualization. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-08-27 Shoko Sawada,Takayuki Itoh,Takashi Misaka,Shigeru Obayashi,Tobias Czauderna,Kingsley Stephens
Fluid dynamics simulation is often repeated under varying conditions. This leads to a generation of large amounts of results, which are difficult to compare. To compare results under different conditions, it is effective to overlap the streamlines generated from each condition in a single three-dimensional space. Streamline is a curved line, which represents a wind flow. This paper presents a technique
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Conversion of adverse data corpus to shrewd output using sampling metrics. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-08-11 Shahzad Ashraf,Sehrish Saleem,Tauqeer Ahmed,Zeeshan Aslam,Durr Muhammad
An imbalanced dataset is commonly found in at least one class, which are typically exceeded by the other ones. A machine learning algorithm (classifier) trained with an imbalanced dataset predicts the majority class (frequently occurring) more than the other minority classes (rarely occurring). Training with an imbalanced dataset poses challenges for classifiers; however, applying suitable techniques
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Efficient object location determination and error analysis based on barycentric coordinates. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-07-31 Andrea Bodonyi,Roland Kunkli
In this paper, we propose an efficient computational method for converting local coordinates to world coordinates using specially structured coordinate data. The problem in question is the computation of world coordinates of an object throughout a motion, assuming that we only know the changing coordinates of some fixed surrounding reference points in the local coordinate system of the object. The
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Implementation and experiments for interactive lyrics transcreation system. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-07-30 Ayano Nishimura,Takayuki Itoh
The evolution of the Internet has enabled us to enjoy the music created in various countries. But still, it is often difficult to understand the lyrics written in foreign languages. Professional translators have published many international songs with lyrics that fit the melody so that the ordinary people can enjoy the lyrics of such international songs. This paper discusses lyrics transcreation into
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Projection-domain iteration to estimate unreliable measurements. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-07-21 Gengsheng L Zeng
Due to the beam-hardening effect of the broad energy spectrum of the X-ray source in computed tomography, the reconstructed images usually suffer from severe artifacts when metallic objects are being imaged. Metal artifact correction methods are usually sophisticated and not practical, especially in some non-medical applications, in which the linear attenuation coefficients are unknown. This paper
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Bibliometric review of visual computing in the construction industry. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-06-08 Heng-Wei Wang,Zhen-Zhong Hu,Jia-Rui Lin
In the construction area, visuals such as drawings, photos, videos, and 3D models, play a significant role in the design, build and maintenance of a facility, bringing efficiency to generate, transfer, and store information. Advanced visual computing techniques facilitate the understanding of design contents, work plans, and other types of information shared in the construction industry. Automatic
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A digital assistant for shading paper sketches. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-06-08 Amal Dev Parakkat,Hari Hara Gowtham,Sarang Joshi,Ramanathan Muthuganapathy
We present a mixed reality-based assistive system for shading paper sketches. Given a paper sketch made by an artist, our interface helps inexperienced users to shade it appropriately. Initially, using a simple Delaunay-triangulation based inflation algorithm, an approximate depth map is computed. The system then highlights areas (to assist shading) based on a rendering of the 2.5-dimensional inflated
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Pre-filter that incorporates the noise model. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-05-22 Gengsheng L Zeng
A linear denoising filter is usually of lowpass type, and the main parameter in a lowpass filter is the cutoff frequency. The lowpass filters are normally shift invariant and can be implemented as convolution in the spatial domain or as multiplication in the Fourier domain. This paper presents a linear filter that is not characterized by its cutoff frequency but is characterized by the noise model
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Classes of tree-based networks. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-05-15 Mareike Fischer,Michelle Galla,Lina Herbst,Yangjing Long,Kristina Wicke
Recently, so-called tree-based phylogenetic networks have attracted considerable attention. These networks can be constructed from a phylogenetic tree, called the base tree, by adding additional edges. The primary aim of this study is to provide sufficient criteria for tree-basedness by reducing phylogenetic networks to related graph structures. Even though it is generally known that determining whether
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Software development for modeling irregular fine protrusions formed by sputter etching. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-05-07 Sande Gao,Keijiro Nakasa,Loulin Huang
Irregular fine protrusions formed on the surface of a mechanical part through biomimetic technology can enhance the part’s properties, including tribology, self-cleaning, and light absorption. However, underlying principles for the formation of fine protrusions according to the requirements of their shapes, sizes, and material distributions have not been studied sufficiently. This paper presents the
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Poisson-noise weighted filter for time-of-flight positron emission tomography. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-04-29 Gengsheng L Zeng,Li Lv,Qiu Huang
Image reconstruction for list-mode time-of-flight (TOF) positron emission tomography (PET) can be achieved by analytic algorithms. The backprojection filtering (BPF) algorithm is an efficient algorithm for this task. The conventional noise control method for analytic image reconstruction is the use of a stationary lowpass filter, which does not model the Poisson noise properly. This study proposes
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Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-04-23 Gengsheng L Zeng,Edward V DiBella
The state-of-the-art approaches for image reconstruction using under-sampled k-space data are compressed sensing based. They are iterative algorithms that optimize objective functions with spatial and/or temporal constraints. This paper proposes a non-iterative algorithm to estimate the un-measured data and then to reconstruct the image with the efficient filtered backprojection algorithm. The feasibility
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Correction to: Hybrid image of three contents. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-03-24 Peeraya Sripian,Yasushi Yamaguchi
In the original publication of this article [1], the Figs. 3 and 4 are not clear enough. They are adjusted the size and showed as below:
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Fused behavior recognition model based on attention mechanism. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-03-12 Lei Chen,Rui Liu,Dongsheng Zhou,Xin Yang,Qiang Zhang
With the rapid development of deep learning technology, behavior recognition based on video streams has made great progress in recent years. However, there are also some problems that must be solved: (1) In order to improve behavior recognition performance, the models have tended to become deeper, wider, and more complex. However, some new problems have been introduced also, such as that their real-time
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Review of heterogeneous material objects modeling in additive manufacturing. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-03-05 Bin Li,Jianzhong Fu,Jiawei Feng,Ce Shang,Zhiwei Lin
This review investigates the recent developments of heterogeneous objects modeling in additive manufacturing (AM), as well as general problems and widespread solutions to the modeling methods of heterogeneous objects. Prevalent heterogeneous object representations are generally categorized based on the different expression or data structure employed therein, and the state-of-the-art of process planning
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Analytic time-of-flight positron emission tomography reconstruction: three-dimensional case. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-02-17 Gengsheng L Zeng,Ya Li,Qiu Huang
In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise. The state-of-the-art TOF PET image reconstruction uses iterative algorithms. This study introduces an analytic TOF PET algorithm that focuses on three-dimensional (3D)
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Hybrid image of three contents. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-02-10 Peeraya Sripian,Yasushi Yamaguchi
A hybrid image allows multiple image interpretations to be modulated by the viewing distance. Originally, it can be constructed by combining the low and high spatial frequencies of two different images. The original hybrid image synthesis was limited to similar shapes of source images that were aligned in the edges, e.g., faces with a different expression, to produce an effective double image interpretation
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Painting image browser applying an associate-rule-aware multidimensional data visualization technique. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-02-05 Ayaka Kaneko,Akiko Komatsu,Takayuki Itoh,Florence Ying Wang
Exploration of artworks is enjoyable but often time consuming. For example, it is not always easy to discover the favorite types of unknown painting works. It is not also always easy to explore unpopular painting works which looks similar to painting works created by famous artists. This paper presents a painting image browser which assists the explorative discovery of user-interested painting works
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Research on a bifurcation location algorithm of a drainage tube based on 3D medical images. Vis. Comput. Ind. Biomed. Art Pub Date : 2020-01-14 Qiuling Pan,Wei Zhu,Xiaolin Zhang,Jincai Chang,Jianzhong Cui
Based on patient computerized tomography data, we segmented a region containing an intracranial hematoma using the threshold method and reconstructed the 3D hematoma model. To improve the efficiency and accuracy of identifying puncture points, a point-cloud search arithmetic method for modified adaptive weighted particle swarm optimization is proposed and used for optimal external axis extraction.
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Novel indoor positioning system based on ultra-wide bandwidth Vis. Comput. Ind. Biomed. Art Pub Date : 2020-01-07 Zhen Wei; Rui Jiang; Xing Wei; Yun-An Cheng; Lei Cheng; Cai Wang
To tackle challenges such as interference and poor accuracy of indoor positioning systems, a novel scheme based on ultra-wide bandwidth (UWB) technology is proposed. First, we illustrate a distance measuring method between two UWB devices. Then, a Taylor series expansion algorithm is developed to detect coordinates of the mobile node using the location of anchor nodes and the distance between them
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Editorial: medical imaging modeling Vis. Comput. Ind. Biomed. Art Pub Date : 2019-12-29 Zhengrong Jerome Liang
Medical imaging can be categorized broadly into applied science or more narrowly into imaging science. As applied science, it encompasses the middle ground between basic science and engineering technology, where a definite practical end is in mind, and where the approach may lead to new discoveries in basic science as well. As imaging science, it explores the nature of visualization. More specifically
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Multi-scale characterizations of colon polyps via computed tomographic colonography Vis. Comput. Ind. Biomed. Art Pub Date : 2019-12-27 Weiguo Cao; Marc J. Pomeroy; Yongfeng Gao; Matthew A. Barish; Almas F. Abbasi; Perry J. Pickhardt; Zhengrong Liang
Texture features have played an essential role in the field of medical imaging for computer-aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has emerged to become one of the most successful feature sets for these applications. This study aims to increase the potential of these features by introducing multi-scale analysis into the construction of GLCM texture descriptor
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Facial expression recognition using three-stage support vector machines Vis. Comput. Ind. Biomed. Art Pub Date : 2019-12-16 Issam Dagher; Elio Dahdah; Morshed Al Shakik
Herein, a three-stage support vector machine (SVM) for facial expression recognition is proposed. The first stage comprises 21 SVMs, which are all the binary combinations of seven expressions. If one expression is dominant, then the first stage will suffice; if two are dominant, then the second stage is used; and, if three are dominant, the third stage is used. These multilevel stages help reduce the
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Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning Vis. Comput. Ind. Biomed. Art Pub Date : 2019-12-12 You Zhang; Xiaokun Huang; Jing Wang
4-Dimensional cone-beam computed tomography (4D-CBCT) offers several key advantages over conventional 3D-CBCT in moving target localization/delineation, structure de-blurring, target motion tracking, treatment dose accumulation and adaptive radiation therapy. However, the use of the 4D-CBCT in current radiation therapy practices has been limited, mostly due to its sub-optimal image quality from limited
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Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning Vis. Comput. Ind. Biomed. Art Pub Date : 2019-12-09 Menglin Guo; Mei Zhao; Allen M. Y. Cheong; Houjiao Dai; Andrew K. C. Lam; Yongjin Zhou
An accurate segmentation and quantification of the superficial foveal avascular zone (sFAZ) is important to facilitate the diagnosis and treatment of many retinal diseases, such as diabetic retinopathy and retinal vein occlusion. We proposed a method based on deep learning for the automatic segmentation and quantification of the sFAZ in optical coherence tomography angiography (OCTA) images with robustness
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Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case Vis. Comput. Ind. Biomed. Art Pub Date : 2019-12-09 Gengsheng L. Zeng; Ya Li; Qiu Huang
In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise. The state-of-the-art TOF PET image reconstruction uses iterative algorithms. Analytical image reconstruction algorithm exits for TOF PET which emulates the iterative
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Indoor versus outdoor scene recognition for navigation of a micro aerial vehicle using spatial color gist wavelet descriptors Vis. Comput. Ind. Biomed. Art Pub Date : 2019-11-26 Anitha Ganesan; Anbarasu Balasubramanian
In the context of improved navigation for micro aerial vehicles, a new scene recognition visual descriptor, called spatial color gist wavelet descriptor (SCGWD), is proposed. SCGWD was developed by combining proposed Ohta color-GIST wavelet descriptors with census transform histogram (CENTRIST) spatial pyramid representation descriptors for categorizing indoor versus outdoor scenes. A binary and multiclass
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Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain. Vis. Comput. Ind. Biomed. Art Pub Date : 2019-11-22 Yongfeng Gao,Jiaxing Tan,Zhengrong Liang,Lihong Li,Yumei Huo
Computer aided detection (CADe) of pulmonary nodules plays an important role in assisting radiologists’ diagnosis and alleviating interpretation burden for lung cancer. Current CADe systems, aiming at simulating radiologists’ examination procedure, are built upon computer tomography (CT) images with feature extraction for detection and diagnosis. Human visual perception in CT image is reconstructed
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Adaptive deep learning for head and neck cancer detection using hyperspectral imaging Vis. Comput. Ind. Biomed. Art Pub Date : 2019-11-21 Ling Ma; Guolan Lu; Dongsheng Wang; Xulei Qin; Zhuo Georgia Chen; Baowei Fei
It can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissue adaptively for cancer detection on hyperspectral images in an animal model. Specifically, an auto-encoder network is trained based on the wavelength bands on hyperspectral images to extract
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Robustness of radiomic features in magnetic resonance imaging: review and a phantom study Vis. Comput. Ind. Biomed. Art Pub Date : 2019-11-20 Renee Cattell; Shenglan Chen; Chuan Huang
Radiomic analysis has exponentially increased the amount of quantitative data that can be extracted from a single image. These imaging biomarkers can aid in the generation of prediction models aimed to further personalized medicine. However, the generalizability of the model is dependent on the robustness of these features. The purpose of this study is to review the current literature regarding robustness
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Developing global image feature analysis models to predict cancer risk and prognosis Vis. Comput. Ind. Biomed. Art Pub Date : 2019-11-19 Bin Zheng; Yuchen Qiu; Faranak Aghaei; Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala
In order to develop precision or personalized medicine, identifying new quantitative imaging markers and building machine learning models to predict cancer risk and prognosis has been attracting broad research interest recently. Most of these research approaches use the similar concepts of the conventional computer-aided detection schemes of medical images, which include steps in detecting and segmenting
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Energy enhanced tissue texture in spectral computed tomography for lesion classification Vis. Comput. Ind. Biomed. Art Pub Date : 2019-11-18 Yongfeng Gao; Yongyi Shi; Weiguo Cao; Shu Zhang; Zhengrong Liang
Tissue texture reflects the spatial distribution of contrasts of image voxel gray levels, i.e., the tissue heterogeneity, and has been recognized as important biomarkers in various clinical tasks. Spectral computed tomography (CT) is believed to be able to enrich tissue texture by providing different voxel contrast images using different X-ray energies. Therefore, this paper aims to address two related
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Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms Vis. Comput. Ind. Biomed. Art Pub Date : 2019-11-15 Gengsheng L. Zeng; Ya Li
We recently developed a family of image reconstruction algorithms that look like the emission maximum-likelihood expectation-maximization (ML-EM) algorithm. In this study, we extend these algorithms to Bayesian algorithms. The family of emission-EM-lookalike algorithms utilizes a multiplicative update scheme. The extension of these algorithms to Bayesian algorithms is achieved by introducing a new
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Sparse-view tomography via displacement function interpolation Vis. Comput. Ind. Biomed. Art Pub Date : 2019-11-12 Gengsheng L. Zeng
Sparse-view tomography has many applications such as in low-dose computed tomography (CT). Using under-sampled data, a perfect image is not expected. The goal of this paper is to obtain a tomographic image that is better than the naïve filtered backprojection (FBP) reconstruction that uses linear interpolation to complete the measurements. This paper proposes a method to estimate the un-measured projections
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Deep-learning-based motion-correction algorithm in optical resolution photoacoustic microscopy Vis. Comput. Ind. Biomed. Art Pub Date : 2019-10-29 Xingxing Chen; Weizhi Qi; Lei Xi
In this study, we propose a deep-learning-based method to correct motion artifacts in optical resolution photoacoustic microscopy (OR-PAM). The method is a convolutional neural network that establishes an end-to-end map from input raw data with motion artifacts to output corrected images. First, we performed simulation studies to evaluate the feasibility and effectiveness of the proposed method. Second
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Publisher Correction to: Visual Computing for Industry, Biomedicine, and Art, volume 2 Vis. Comput. Ind. Biomed. Art Pub Date : 2019-09-05
An error occurred during the publication of a number of articles Visual Computing for Industry, Biomedicine, and Art. Several articles were published in volume 2 with a duplicate citation number.
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Scalable point cloud meshing for image-based large-scale 3D modeling Vis. Comput. Ind. Biomed. Art Pub Date : 2019-08-07 Jiali Han; Shuhan Shen
Image-based 3D modeling is an effective method for reconstructing large-scale scenes, especially city-level scenarios. In the image-based modeling pipeline, obtaining a watertight mesh model from a noisy multi-view stereo point cloud is a key step toward ensuring model quality. However, some state-of-the-art methods rely on the global Delaunay-based optimization formed by all the points and cameras;
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Intensity-curvature functional based digital high pass filter of the bivariate cubic B-spline model polynomial function Vis. Comput. Ind. Biomed. Art Pub Date : 2019-08-02 Carlo Ciulla; Grace Agyapong
This research addresses the design of intensity-curvature functional (ICF) based digital high pass filter (HPF). ICF is calculated from bivariate cubic B-spline model polynomial function and is called ICF-based HPF. In order to calculate ICF, the model function needs to be second order differentiable and to have non-null classic-curvature calculated at the origin (0, 0) of the pixel coordinate system
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Modeling and simulation of an anatomy teaching system Vis. Comput. Ind. Biomed. Art Pub Date : 2019-08-02 Xiaoqin Zhang; Jingyi Yang; Na Chen; Shaoxiang Zhang; Yifa Xu; Liwen Tan
Specimen observation and dissection have been regarded as the best approach to teach anatomy, but due to the severe lack of anatomical specimens in recent years, the quality of anatomy teaching has been seriously affected. In order to disseminate anatomical knowledge effectively under such circumstances, this study discusses three key factors (modeling, perception, and interaction) involved in constructing
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Brief review of image denoising techniques Vis. Comput. Ind. Biomed. Art Pub Date : 2019-07-08 Linwei Fan; Fan Zhang; Hui Fan; Caiming Zhang
With the explosion in the number of digital images taken every day, the demand for more accurate and visually pleasing images is increasing. However, the images captured by modern cameras are inevitably degraded by noise, which leads to deteriorated visual image quality. Therefore, work is required to reduce noise without losing image features (edges, corners, and other sharp structures). So far, researchers
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Assessing performance of augmented reality-based neurosurgical training Vis. Comput. Ind. Biomed. Art Pub Date : 2019-07-03 Wei-Xin Si; Xiang-Yun Liao; Yin-Ling Qian; Hai-Tao Sun; Xiang-Dong Chen; Qiong Wang; Pheng Ann Heng
This paper presents a novel augmented reality (AR)-based neurosurgical training simulator which provides a very natural way for surgeons to learn neurosurgical skills. Surgical simulation with bimanual haptic interaction is integrated in this work to provide a simulated environment for users to achieve holographic guidance for pre-operative training. To achieve the AR guidance, the simulator should
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Simulating unmanned aerial vehicle flight control and collision detection. Vis. Comput. Ind. Biomed. Art Pub Date : 2019-06-21 Mengtian Liu,Meng Gai,Shunnan Lai
An unmanned aerial vehicle (UAV) is a small, fast aircraft with many useful features. It is widely used in military reconnaissance, aerial photography, searches, and other fields; it also has very good practical-application and development prospects. Since the UAV’s flight orientation is easily changeable, its orientation and flight path are difficult to control, leading to its high damage rate. Therefore
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Dynamically loading IFC models on a web browser based on spatial semantic partitioning Vis. Comput. Ind. Biomed. Art Pub Date : 2019-06-03 Hong-Lei Lu; Jia-Xing Wu; Yu-Shen Liu; Wan-Qi Wang
Industry foundation classes (IFC) is an open and neutral data format specification for building information modeling (BIM) that plays a crucial role in facilitating interoperability. With increases in web-based BIM applications, there is an urgent need for fast loading large IFC models on a web browser. However, the task of fully loading large IFC models typically consumes a large amount of memory
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An efficient data structure for calculation of unstructured T-spline surfaces Vis. Comput. Ind. Biomed. Art Pub Date : 2019-05-22 Wei Wang; Yang Zhang; Xiaoxiao Du; Gang Zhao
To overcome the topological constraints of non-uniform rational B-splines, T-splines have been proposed to define the freeform surfaces. The introduction of T-junctions and extraordinary points makes it possible to represent arbitrarily shaped models by a single T-spline surface. Whereas, the complexity and flexibility of topology structure bring difficulty in programming, which have caused a great
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Slicing and support structure generation for 3D printing directly on B-rep models Vis. Comput. Ind. Biomed. Art Pub Date : 2019-05-22 Kanle Shi; Conghui Cai; Zijian Wu; Junhai Yong
Traditional 3D printing is based on stereolithography or standard tessellation language models, which contain many redundant data and have low precision. This paper proposes a slicing and support structure generation algorithm for 3D printing directly on boundary representation (B-rep) models. First, surface slicing is performed by efficiently computing the intersection curves between the faces of