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Process failure mode and effects analysis for external beam radiotherapy: Introducing a literature-based template and a novel action priority Z. Med. Phys. (IF 2.0) Pub Date : 2024-02-29 Dominik Kornek, Christoph Bert
The first aim of the study was to create a general template for analyzing potential failures in external beam radiotherapy, EBRT, using the process failure mode and effects analysis (PFMEA). The second aim was to modify the action priority (AP), a novel prioritization method originally introduced by the Automotive Industry Action Group (AIAG), to work with different severity, occurrence, and detection
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Towards quality management of artificial intelligence systems for medical applications Z. Med. Phys. (IF 2.0) Pub Date : 2024-02-27 Lorenzo Mercolli, Axel Rominger, Kuangyu Shi
The use of artificial intelligence systems in clinical routine is still hampered by the necessity of a medical device certification and/or by the difficulty of implementing these systems in a clinic’s quality management system. In this context, the key questions for a user are how to ensure robust model predictions and how to appraise the quality of a model’s results on a regular basis.
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Implementation and validation of 2-D-array based tests in routine linac quality assurance Z. Med. Phys. (IF 2.0) Pub Date : 2024-02-16 Jiří Valenta, Manfred Schmidt, Christoph Bert
In medical linac quality assurance (QA), to replace film dosimetry with low-resolution 2-D ionization chamber array measurements, to validate the procedures, and to perform a comprehensive sensitivity analysis. A 2-D ionization chamber array with a spatial resolution of 7.62 mm was deployed to perform the following tests: Junction tests, MLC transmission test, beam profile constancy vs. gantry angle
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Application of NEMA protocols to verify GATE models based on the Digital Biograph Vision and the Biograph Vision Quadra scanners Z. Med. Phys. (IF 2.0) Pub Date : 2024-02-09 Miriam Magela Peña-Acosta, Sergio Gallardo, María Lorduy-Alós, Gumersindo Verdú
The Monte Carlo method is an effective tool to simulate and verify PET systems. Furthermore, it can help in the design and optimization of new medical imaging devices and algorithms. In this framework, the goal of this work is to verify the GATE toolkit performance when applied to simulate two Siemens Healthineers PET scanners: a standard axial field-of-view Biograph Vision scanner and the new long
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Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level Z. Med. Phys. (IF 2.0) Pub Date : 2024-02-08 Juan F Domínguez D, Ashley Stewart, Alex Burmester, Hamed Akhlaghi, Kieran O'Brien, Steffen Bollmann, Karen Caeyenberghs
Emerging evidence suggests that traumatic brain injury (TBI) is a major risk factor for developing neurodegenerative disease later in life. Quantitative susceptibility mapping (QSM) has been used by an increasing number of studies in investigations of pathophysiological changes in TBI. However, generating artefact-free quantitative susceptibility maps in brains with large focal lesions, as in the case
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Enhanced direct joint attenuation and scatter correction of whole-body PET images via context-aware deep networks Z. Med. Phys. (IF 2.0) Pub Date : 2024-02-01 Saeed Izadi, Isaac Shiri, Carlos F. Uribe, Parham Geramifar, Habib Zaidi, Arman Rahmim, Ghassan Hamarneh
In positron emission tomography (PET), attenuation and scatter corrections are necessary steps toward accurate quantitative reconstruction of the radiopharmaceutical distribution. Inspired by recent advances in deep learning, many algorithms based on convolutional neural networks have been proposed for automatic attenuation and scatter correction, enabling applications to CT-less or MR-less PET scanners
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Back to the future: Spaceflight – Radiation and new horizons Z. Med. Phys. (IF 2.0) Pub Date : 2024-01-23 Ulrich Straube, Matthias Maurer
Abstract not available
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System of radiological protection: Towards a consistent framework on Earth and in space Z. Med. Phys. (IF 2.0) Pub Date : 2024-01-23 Werner Rühm, Nobuhiko Ban, Jing Chen, Chunsheng Li, Mikhail Dobynde, Marco Durante, Samy El-Jaby, Tatsuto Komiyama, Kotaro Ozasa, Tatsuhiko Sato, Edward J Semones, Mark Shavers, Vyacheslav Shurshakov, Ulrich Straube, Leena Tomi, Alexander Ulanowski, Ludovic Vaillant, Zhenhua Xu, Constantinos Zervides, Guangming Zhou
Abstract not available
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Evaluation of 2D ion chamber arrays for patient specific quality assurance using a static phantom at a 0.35 T MR-Linac Z. Med. Phys. (IF 2.0) Pub Date : 2024-01-05 C.K. Renkamp, D. Eulenstein, M. Sebald, F. Schlüter, C. Buchele, C. Rippke, J. Debus, S. Klüter
Introduction Patient specific quality assurance (QA) in MR-Linacs can be performed with MR-compatible ion chamber arrays. However, the presence of a static magnetic field can alter the angular response of such arrays substantially. This works investigates the suitability of two ion chamber arrays, an air-filled and a liquid-filled array, for patient specific QA at a 0.35 T MR-Linac using a static phantom
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Evaluation of RADIANCE Monte Carlo algorithm for treatment planning in electron based Intraoperative Radiotherapy (IOERT) Z. Med. Phys. (IF 2.0) Pub Date : 2024-01-05 Charoula Iliaskou, Giulio Rossi, Ilias Sachpazidis, Vasilios Boronikolas, Mark Gainey, Dimos Baltas
Purpose To perform experimental as well as independent Monte Carlo (MC) evaluation of the MC algorithm implemented in RADIANCE version 4.0.8, a dedicated treatment planning system (TPS) for 3D electron dose calculations in intraoperative radiation therapy (IOERT). Methods and materials The MOBETRON 2000 (IntraOp Medical Corporation, Sunnyvale, CA) IOERT accelerator was employed. PDD and profiles for
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Quo Vadis Hyperpolarized 13C MRI? Z. Med. Phys. (IF 2.0) Pub Date : 2023-12-29 Pascal Wodtke, Martin Grashei, Franz Schilling
Over the last two decades, hyperpolarized 13C MRI has gained significance in both preclinical and clinical studies, hereby relying on technologies like PHIP-SAH (ParaHydrogen-Induced Polarization-Side Arm Hydrogenation), SABRE (Signal Amplification by Reversible Exchange), and dDNP (dissolution Dynamic Nuclear Polarization), with dDNP being applied in humans. A clinical dDNP polarizer has enabled studies
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Predicting disease-related MRI patterns of multiple sclerosis through GAN-based image editing Z. Med. Phys. (IF 2.0) Pub Date : 2023-12-23 Daniel Güllmar, Wei-Chan Hsu, Jürgen R. Reichenbach
Introduction Multiple sclerosis (MS) is a complex neurodegenerative disorder that affects the brain and spinal cord. In this study, we applied a deep learning-based approach using the StyleGAN model to explore patterns related to MS and predict disease progression in magnetic resonance images (MRI). Methods We trained the StyleGAN model unsupervised using T1-weighted GRE MR images and diffusion-based
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Pilot study on high-resolution radiological methods for the analysis of cerebrospinal fluid (CSF) shunt valves Z. Med. Phys. (IF 2.0) Pub Date : 2023-12-15 Martin P. Pichotka, Moritz Weigt, Mukesch J. Shah, Maximilian F. Russe, Thomas Stein, T. Billoud, Jürgen Beck, Jakob Straehle, Christopher L. Schlett, Dominik v. Elverfeldt, Marco Reisert
Objectives Despite their life-saving capabilities, cerebrospinal fluid (CSF) shunts exhibit high failure rates, with a large fraction of failures attributed to the regulating valve. Due to a lack of methods for the detailed analysis of valve malfunctions, failure mechanisms are not well understood, and valves often have to be surgically explanted on the mere suspicion of malfunction. The presented
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Editorial Board + Consulting Editorial Board Z. Med. Phys. (IF 2.0) Pub Date : 2023-12-12
Abstract not available
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Comparison of dose and risk estimates between ISS Partner Agencies for a 30-day Lunar Mission Z. Med. Phys. (IF 2.0) Pub Date : 2023-11-28 Mark R. Shavers, Edward J. Semones, Vyacheslav Shurshakov, Mikhail Dobynde, Tatsuhiko Sato, Tatsuto Komiyama, Leena Tomi, Jing Chen, Samy El-Jaby, Ulrich Straube, Chunsheng Li, Werner Rühm
The International Partner Agencies of the International Space Station (ISS) present a comparison of the ionizing radiation absorbed dose and risk quantities used to characterize example missions in lunar space. This effort builds on previous collaborative work that characterizes radiation environments in space to support radiation protection for human spaceflight on ISS in low-Earth orbit (LEO) and
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Mitteilungen der Deutschen Gesellschaft für Medizinische Physik e.V. Z. Med. Phys. (IF 2.0) Pub Date : 2023-11-15
Abstract not available
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Ground-based passive generation of Solar Particle Event spectra: Planning and manufacturing of a 3D-printed modulator Z. Med. Phys. (IF 2.0) Pub Date : 2023-11-07 Tabea Pfuhl, Uli Weber, Felix Horst, Marco Durante, Christoph Schuy
The generation of space radiation on Earth is essential to study and predict the effects of radiation on space travelers, electronics, or materials during future long-term space missions. Next to the heavy ions of the galactic cosmic rays, solar particle events play a major role concerning the radiation risk in space, which consist of intermediate-energy protons with broad spectra and energies up to
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European astronaut radiation related cancer risk assessment using dosimetric calculations of organ dose equivalents Z. Med. Phys. (IF 2.0) Pub Date : 2023-11-04 Linda Walsh, Luana Hafner, Thomas Berger, Daniel Matthiä, Uwe Schneider, Ulrich Straube
An illustrative sample mission of a Mars swing-by mission lasting one calendar year was chosen to highlight the application of European risk assessment software to cancer (all solid cancer plus leukaemia) risks from radiation exposures in space quantified with organ dose equivalent rates from model calculations based on the quantity Radiation Attributed Decrease of Survival (RADS). The relevant dose
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Radium deposition in human brain tissue: A Geant4-DNA Monte Carlo toolkit study Z. Med. Phys. (IF 2.0) Pub Date : 2023-10-28 S.M.J. Mortazavi, Payman Rafiepour, S.A.R. Mortazavi, S.M.T. Razavi Toosi, Parya Roshan Shomal, Lembit Sihver
NASA has encouraged studies on 226Ra deposition in the human brain to investigate the effects of exposure to alpha particles with high linear energy transfer, which could mimic some of the exposure astronauts face during space travel. However, this approach was criticized, noting that radium is a bone-seeker and accumulates in the skull, which means that the radiation dose from alpha particles emitted
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Sensitivity and specificity of Monte Carlo based independent secondary dose computation for detecting modulation-related dose errors in intensity modulated radiotherapy Z. Med. Phys. (IF 2.0) Pub Date : 2023-10-25 Matthias Kowatsch, Philipp Szeverinski, Patrick Clemens, Thomas Künzler, Matthias Söhn, Markus Alber
Background The recent availability of Monte Carlo based independent secondary dose calculation (ISDC) for patient-specific quality assurance (QA) of modulated radiotherapy requires the definition of appropriate, more sensitive action levels, since contemporary recommendations were defined for less accurate ISDC dose algorithms. Purpose The objective is to establish an optimum action level and measure
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Acknowledgements to the Consulting Editorial Board and the Reviewers Z. Med. Phys. (IF 2.0) Pub Date : 2023-10-24
Abstract not available
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Impact of the maximum ring difference on image quality and noise characteristics of a total-body PET/CT scanner Z. Med. Phys. (IF 2.0) Pub Date : 2023-10-21 F.P. Schmidt, J.G. Mannheim, P.M. Linder, P. Will, L.S. Kiefer, M. Conti, C. la Fougère, I. Rausch
The sensitivity of a PET system highly depends on the axial acceptance angle or maximum ring difference (MRD), which can be particularly high for total-body scanners due to their larger axial field of views (aFOVs). This study aims to evaluate the impact on image quality (IQ) and noise performance when MRD85 (18°), the current standard for clinical use, is increased to MRD322 (52°) for the Biograph
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The Medical Device Regulation and its impact on device development and research in Germany Z. Med. Phys. (IF 2.0) Pub Date : 2023-10-19 Mark E. Ladd
Abstract not available
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Generation, validation, and benchmarking of a commercial independent Monte Carlo calculation beam model for multi-target SRS Z. Med. Phys. (IF 2.0) Pub Date : 2023-09-14 Justus Adamson, Brett G. Erickson, Chunhao Wang, Yunfeng Cui, Markus Alber, John Kirkpatrick, Fang-Fang Yin
Background Dosimetric validation of single isocenter multi-target radiosurgery plans is difficult due to conditions of electronic disequilibrium and the simultaneous irradiation of multiple off-axis lesions dispersed throughout the volume. Here we report the benchmarking of a customizable Monte Carlo secondary dose calculation algorithm specific for multi-target radiosurgery which future users may
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Editorial Board + Consulting Editorial Board Z. Med. Phys. (IF 2.0) Pub Date : 2023-09-13
Abstract not available
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Assessment of resolution and noise in magnetic resonance images reconstructed by data driven approaches Z. Med. Phys. (IF 2.0) Pub Date : 2023-09-09 Jonas Kleineisel, Katja Lauer, Alfio Borzì, Thorsten A. Bley, Herbert Köstler, Tobias Wech
Introduction Deep learning-based approaches are increasingly being used for the reconstruction of accelerated MRI scans. However, presented analyses are frequently lacking in-detail evaluation of basal measures like resolution or signal-to-noise ratio. To help closing this gap, spatially resolved maps of image resolution and noise enhancement (g-factor) are determined and assessed for typical model-
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Time-integrated radiation risk metrics and interpopulation variability of survival Z. Med. Phys. (IF 2.0) Pub Date : 2023-09-03 Alexander Ulanowski, Nobuhiko Ban, Kotaro Ozasa, Werner Rühm, Edward Semones, Mark Shavers, Ludovic Vaillant
Task Group 115 of the International Commission on Radiological Protection is focusing on mission-related exposures to space radiation and concomitant health risks for space crew members including, among others, risk of cancer development. Uncertainties in cumulative radiation risk estimates come from the stochastic nature of the considered health outcome (i.e., cancer), uncertainties of statistical
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Development and clinical implementation of a digital system for risk assessments for radiation therapy Z. Med. Phys. (IF 2.0) Pub Date : 2023-09-02 Dominik Kornek, David Menichelli, Jörg Leske, Michael Hofmann, David Antkiewicz, Tobias Brandt, Oliver J. Ott, Michael Lotter, Marga Lang-Welzenbach, Rainer Fietkau, Christoph Bert
Before introducing new treatment techniques, an investigation of hazards due to unintentional radiation exposures is a reasonable activity for proactively increasing patient safety. As dedicated software is scarce, we developed a tool for risk assessment to design a quality management program based on best practice methods, i.e., process mapping, failure modes and effects analysis and fault tree analysis
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PSMA-PET improves deep learning-based automated CT kidney segmentation Z. Med. Phys. (IF 2.0) Pub Date : 2023-09-02 Julian Leube, Matthias Horn, Philipp E. Hartrampf, Andreas K. Buck, Michael Lassmann, Johannes Tran-Gia
For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume of relevant structures exposed to therapeutic radiation. For many radiopharmaceuticals, the kidneys represent an important organ-at-risk. To reduce the time required for kidney segmentation, which is often still performed manually, numerous approaches have been presented in recent years to apply deep learning-based
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Compartment-specific 129Xe HyperCEST z spectroscopy and chemical shift imaging of cucurbit[6]uril in spontaneously breathing rats Z. Med. Phys. (IF 2.0) Pub Date : 2023-09-01 Agilo Luitger Kern, Marcel Gutberlet, Regina Rumpel, Inga Bruesch, Jens M. Hohlfeld, Frank Wacker, Bennet Hensen
129Xe hyperpolarized gas chemical exchange saturation transfer (HyperCEST) MRI has been suggested as molecular imaging modality but translation to in vivo imaging has been slow, likely due to difficulties of synthesizing suitable molecules. Cucurbit[6]uril–either in readily available non-functionalized or potentially in functionalized form–may, combined with 129Xe HyperCEST MRI, prove useful as a switchable
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Automated prognosis of renal function decline in ADPKD patients using deep learning Z. Med. Phys. (IF 2.0) Pub Date : 2023-08-21 Anish Raj, Fabian Tollens, Anna Caroli, Dominik Nörenberg, Frank G. Zöllner
An accurate prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADPKD) is crucial for early intervention. Current biomarkers used are height-adjusted total kidney volume (HtTKV), estimated glomerular filtration rate (eGFR), and patient age. However, manually measuring kidney volume is time-consuming and subject to observer variability. Additionally, incorporating automatically
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Radiation-induced double-strand breaks by internal ex vivo irradiation of lymphocytes: Validation of a Monte Carlo simulation model using GATE and Geant4-DNA Z. Med. Phys. (IF 2.0) Pub Date : 2023-08-18 Maikol Salas-Ramirez, Lydia Maigne, Giovanna Fois, Harry Scherthan, Michael Lassmann, Uta Eberlein
This study describes a method to validate a radiation transport model that quantifies the number of DNA double-strand breaks (DSB) produced in the lymphocyte nucleus by internal ex vivo irradiation of whole blood with the radionuclides 90Y, 99mTc, 123I, 131I, 177Lu, 223Ra, and 225Ac in a test vial using the GATE/Geant4 code at the macroscopic level and the Geant4-DNA code at the microscopic level.
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Gamma radiation detector selection for CT scanner Z. Med. Phys. (IF 2.0) Pub Date : 2023-08-14 Kajal Kumari, Mayank Goswami
Three types of gamma radiation detectors associated with distributed electronics namely, NaI (Tl), HPGe and LaBr3(Ce) are compared primarily focusing on electronic noise and scattering noise. Additionally, detectors of same make, material, size and electronics are also compared. A methodology is proposed to select the most suitable detector for computed tomography (CT) among the available options.
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Radiation combined with ultrasound and microbubbles: A potential novel strategy for cancer treatment Z. Med. Phys. (IF 2.0) Pub Date : 2023-08-14 Deepa Sharma, Kai Xuan Leong, Daniel Palhares, Gregory J. Czarnota
Cancer is one of the leading causes of death worldwide. Several emerging technologies are helping to battle cancer. Cancer therapies have been effective at killing cancer cells, but a large portion of patients still die to this disease every year. As such, more aggressive treatments of primary cancers are employed and have been shown to be capable of saving a greater number of lives. Recent research
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Comparison of different neurite density metrics with brain asymmetry evaluation Z. Med. Phys. (IF 2.0) Pub Date : 2023-08-08 Ivan I. Maximov, Lars T. Westlye
The standard diffusion MRI model with intra- and extra-axonal water pools offers a set of microstructural parameters describing brain white matter architecture. However, non-linearities in the standard model and diffusion data contamination by noise and imaging artefacts make estimation of diffusion metrics challenging. In order to develop reliable diffusion approaches and to avoid computational model
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Quantification of regional CMRO2 in human brain using dynamic 17O-MRI at 3T Z. Med. Phys. (IF 2.0) Pub Date : 2023-08-08 Hao Song, Johannes Fisher, Ali Caglar Özen, Burak Akin, Stefan Schumann, Michael Bock
Objective To investigate the feasibility of cerebral metabolic rate of oxygen consumption (CMRO2) measurements with MRI at 3 Tesla in different brain regions. Methods CMRO2 represents a key indicator of the physiological state of brain tissue. Dynamic 17O-MRI with inhalation of isotopically enriched 17O gas has been used to quantify global CMRO2 in brain white (WM) and gray matter (GM). However, global
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Moon, Mars and Minds: Evaluating Parkinson’s disease mortality among U.S. radiation workers and veterans in the million person study of low-dose effects Z. Med. Phys. (IF 2.0) Pub Date : 2023-08-01 Lawrence T. Dauer, Linda Walsh, Michael T. Mumma, Sarah S. Cohen, Ashley P. Golden, Sara C. Howard, Grace E. Roemer, John D. Boice
Background Radiation is one of the most important stressors related to missions in space beyond Earth’s orbit. Epidemiologic studies of exposed workers have reported elevated rates of Parkinson’s disease. The importance of cognitive dysfunction related to low-dose rate radiation in humans is not defined. A meta-analysis was conducted of six cohorts in the Million Person Study (MPS) of low-dose health
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Towards MR contrast independent synthetic CT generation Z. Med. Phys. (IF 2.0) Pub Date : 2023-08-01 Attila Simkó, Mikael Bylund, Gustav Jönsson, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Joakim Jonsson
The use of synthetic CT (sCT) in the radiotherapy workflow would reduce costs and scan time while removing the uncertainties around working with both MR and CT modalities. The performance of deep learning (DL) solutions for sCT generation is steadily increasing, however most proposed methods were trained and validated on private datasets of a single contrast from a single scanner. Such solutions might
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Space agency-specific standards for crew dose and risk assessment of ionising radiation exposures for the International Space Station Z. Med. Phys. (IF 2.0) Pub Date : 2023-07-27 Mark Shavers, Edward Semones, Leena Tomi, Jing Chen, Ulrich Straube, Tatsuto Komiyama, Vyacheslav Shurshakov, Chunsheng Li, Werner Rühm
The Partner Agencies of the International Space Station (ISS) maintain separate career exposure limits and shared Flight Rules that control the ionising radiation exposures that crewmembers can experience due to ambient environments throughout their space missions. In low Earth orbit as well as further out in space, energetic ions referred to as galactic cosmic radiation (GCR) easily penetrate spacecraft
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Light Flashes and other sensory illusions perceived in space travel and on ground, including proton- and heavy ion-therapies Z. Med. Phys. (IF 2.0) Pub Date : 2023-07-14
Most of the astronauts experience visual illusions, apparent flashes of light (LF) in absence of light. The first reported observation of this phenomenon was in July 1969 by Buzz Aldrin, in the debriefing following the Apollo 11 mission. Several ground-based experiments in the 1970s tried to clarify the mechanisms behind these light flashes and to evaluate possible related risks. These works were supported
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Evaluation of proton and carbon ion beam models in TReatment Planning for Particles 4D (TRiP4D) referring to a commercial treatment planning system Z. Med. Phys. (IF 2.0) Pub Date : 2023-07-14
Purpose To investigate the accuracy of the treatment planning system (TPS) TRiP4D in reproducing doses computed by the clinically used TPS SyngoRT. Methods Proton and carbon ion beam models in TRiP4D were converted from SyngoRT. Cubic plans with different depths in a water-tank phantom (WP) and previously treated and experimentally verified patient plans from SyngoRT were recalculated in TRiP4D. The
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Mitteilungen der Deutschen Gesellschaft für Medizinische Physik e.V. Z. Med. Phys. (IF 2.0) Pub Date : 2023-07-10 Aus dem Vorstand
Abstract not available
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Application of multi-method-multi-model inference to radiation related solid cancer excess risks models for astronaut risk assessment Z. Med. Phys. (IF 2.0) Pub Date : 2023-07-08 Luana Hafner, Linda Walsh
The impact of including model-averaged excess radiation risks (ER) into a measure of radiation attributed decrease of survival (RADS) for the outcome all solid cancer incidence and the impact on the uncertainties is demonstrated. It is shown that RADS applying weighted model averaged ER based on AIC weights result in smaller risk estimates with narrower 95% CI than RADS using ER based on BIC weights
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Physical wedge as a tool for radiochromic film calibration Z. Med. Phys. (IF 2.0) Pub Date : 2023-06-29 Stevan Pecić, Miloš Vićić, Ivan Belča, Strahinja Stojadinović, Borko Nidžović, Ljubomir Kurij, Slobodan Dević
Reliable calibration is one of the major challenges in using radiochromic films (RCF) for radiation dosimetry. In this study the feasibility of using dose gradients produced by a physical wedge (PW) for RCF calibration was investigated. The aim was to establish an efficient and reproducible method for calibrating RCF using a PW. Film strips were used to capture the wedge dose profile for five different
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Silicone phantoms fabricated with multi-material extrusion 3D printing technology mimicking imaging properties of soft tissues in CT Z. Med. Phys. (IF 2.0) Pub Date : 2023-06-26 Sepideh Hatamikia, Laszlo Jaksa, Gernot Kronreif, Wolfgang Birkfellner, Joachim Kettenbach, Martin Buschmann, Andrea Lorenz
Recently, 3D printing has been widely used to fabricate medical imaging phantoms. So far, various rigid 3D printable materials have been investigated for their radiological properties and efficiency in imaging phantom fabrication. However, flexible, soft tissue materials are also needed for imaging phantoms for simulating several clinical scenarios where anatomical deformations is important. Recently
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Impact of log file source and data frequency on accuracy of log file-based patient specific quality assurance Z. Med. Phys. (IF 2.0) Pub Date : 2023-06-24 Akbar Azzi, Gerd Heilemann, Dietmar Georg, Supriyanto Ardjo Pawiro, Terry Mart, Wolfgang Lechner
Performing phantom measurements for patient-specific quality assurance (PSQA) adds a significant amount of time to the adaptive radiotherapy procedure. Log file based PSQA can be used to increase the efficiency of this process. This study compared the dosimetric accuracy of high-frequency linear accelerator (Linac) log files and low-frequency log data stored in the oncology information system (OIS)
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Characterization of a new radiochromic film (LD-V1) using mammographic beam qualities Z. Med. Phys. (IF 2.0) Pub Date : 2023-06-24 Erika Nakajima, Hitoshi Sato
Purpose Radiochromic film (RCF) is a detector that can obtain a two-dimensional dose distribution with high resolution; it is widely used in medical and industrial fields. Several types of RCFs exist based on their application. The type of RCF mainly used for mammography dose assessment has been discontinued; however, a new type of RCF (LD-V1) has been distributed as a successor. Since the medical
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Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions – A comparative study on generalizability Z. Med. Phys. (IF 2.0) Pub Date : 2023-06-22 Anika Strittmatter, Lothar R. Schad, Frank G. Zöllner
Multimodal image registration is applied in medical image analysis as it allows the integration of complementary data from multiple imaging modalities. In recent years, various neural network-based approaches for medical image registration have been presented in papers, but due to the use of different datasets, a fair comparison is not possible. In this research 20 different neural networks for an
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Photoacoustic clinical applications: Musculoskeletal and abdominal imaging Z. Med. Phys. (IF 2.0) Pub Date : 2023-06-24 Linyu Ni, Xueding Wang, Guan Xu
Photoacoustic (PA) imaging has been extensively investigated in application in biomedicine over the last decade. This article reviews the motivation, significance, and system configuration of a few ongoing studies of implementing photoacoustic technology in musculoskeletal imaging, abdominal imaging, and interstitial sensing. The review then summarizes the methodologies and latest progress of relevant
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Multi-stage image registration based on list-mode proton radiographies for small animal proton irradiation: A simulation study Z. Med. Phys. (IF 2.0) Pub Date : 2023-06-21 Prasannakumar Palaniappan, Yana Knudsen, Sebastian Meyer, Chiara Gianoli, Katrin Schnürle, Matthias Würl, Jonathan Bortfeldt, Katia Parodi, Marco Riboldi
We present a multi-stage and multi-resolution deformable image registration framework for image-guidance at a small animal proton irradiation platform. The framework is based on list-mode proton radiographies acquired at different angles, which are used to deform a 3D treatment planning CT relying on normalized mutual information (NMI) or root mean square error (RMSE) in the projection domain. We utilized
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Editorial Board + Consulting Editorial Board Z. Med. Phys. (IF 2.0) Pub Date : 2023-06-15
Abstract not available
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Ultrasound localization microscopy Z. Med. Phys. (IF 2.0) Pub Date : 2023-06-15 Stefanie Dencks, Georg Schmitz
Ultrasound Localization Microscopy (ULM) is an emerging technique that provides impressive super-resolved images of microvasculature, i.e., images with much better resolution than the conventional diffraction-limited ultrasound techniques and is already taking its first steps from preclinical to clinical applications. In comparison to the established perfusion or flow measurement methods, namely contrast-enhanced
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cMUT technology developments Z. Med. Phys. (IF 2.0) Pub Date : 2023-06-12 Carl D. Herickhoff, Rob van Schaijk
Capacitive micromachined ultrasonic transducer (cMUT) technology has steadily advanced since its advent in the mid-1990’s. Though cMUTs have not supplanted piezoelectric transducers for medical ultrasound imaging to date, researchers and engineers are continuing to improve cMUTs and leverage unique cMUT characteristics toward new applications. While not intended to be an exhaustive review of every