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Technical Note ‐ Relationship between peak skin dose and fluoroscopic Ka,r: clinical variations and application in establishing substantial radiation dose levels
Technical Note ‐ Relationship between peak skin dose and fluoroscopic Ka,r: clinical variations and application in establishing substantial radiation dose levels
Abstract Background The reference point cumulative air kerma (Ka,r) is a commonly used dose quantity for establishing subs...
Quantification of uptake in pelvis F‐18 FLT PET‐CT images using a 3D localization and segmentation CNN
Quantification of uptake in pelvis F‐18 FLT PET‐CT images using a 3D localization and segmentation CNN
Abstract Purpose The purpose of this work was to develop and validate a deep convolutional neural network (CNN) approach f...
Dose‐mean lineal energy values for electrons by different Monte Carlo codes: Consequences for estimates of radiation quality in photon beams
Dose‐mean lineal energy values for electrons by different Monte Carlo codes: Consequences for estimates of radiation quality in photon beams
Abstract Background The microdosimetric quantity lineal energy and its mean values have proven useful for quantifying radi...
Free‐Breathing Three‐Dimensional Isotropic‐Resolution MR sequence for simultaneous vessel wall imaging of bilateral renal arteries and abdominal aorta: Feasibility and reproducibility
Free‐Breathing Three‐Dimensional Isotropic‐Resolution MR sequence for simultaneous vessel wall imaging of bilateral renal arteries and abdominal aorta: Feasibility and reproducibility
Abstract Purpose Many diseases can simultaneously involve renal arteries and the adjacent abdominal aorta. The study propo...
Methods of monitoring thermal ablation of soft tissue tumors – a comprehensive review
Methods of monitoring thermal ablation of soft tissue tumors – a comprehensive review
Abstract Thermal ablation is a form of hyperthermia in which oncologic control can be achieved by briefly inducing elevate...
Three‐dimensional self super‐resolution for pelvic floor MRI using a convolutional neural network with multi‐orientation data training
Three‐dimensional self super‐resolution for pelvic floor MRI using a convolutional neural network with multi‐orientation data training
Abstract Purpose High-resolution pelvic magnetic resonance (MR) imaging is important for the high-resolution and high-prec...
The detective quantum efficiency of cadmium telluride photon‐counting x‐ray detectors in breast imaging applications
The detective quantum efficiency of cadmium telluride photon‐counting x‐ray detectors in breast imaging applications
Abstract Purpose In breast imaging applications, cadmium telluride (CdTe) photon counting x-ray detectors (PCDs) may reduc...
Assessing the accuracy of electronic portal imaging device (EPID)‐based dosimetry: I. Quantities influencing long‐term stability
Assessing the accuracy of electronic portal imaging device (EPID)‐based dosimetry: I. Quantities influencing long‐term stability
Abstract Purpose The aim of this study is to reduce the uncertainty associated with determining dose-to-water using an amo...
Technical Note: Bremsstrahlung dose in the electron beam at extended distances in total skin electron therapy
Technical Note: Bremsstrahlung dose in the electron beam at extended distances in total skin electron therapy
Abstract Purpose Electron beam from a linear accelerator is commonly used in total skin electron Therapy (TSET) at extende...
Improving predictive CTV segmentation on CT and CBCT for cervical cancer by diffeomorphic registration of a prior
Improving predictive CTV segmentation on CT and CBCT for cervical cancer by diffeomorphic registration of a prior
Abstract Purpose Automatic cervix-uterus segmentation of the clinical target volume (CTV) on CT and cone beam CT (CBCT) sc...
Dose kernel decomposition for spot‐based radiotherapy treatment planning
Dose kernel decomposition for spot‐based radiotherapy treatment planning
Abstract Purpose Pre-calculation of accurate dose deposition kernels for treatment planning of spot-based radiotherapy, su...
DIRECT‐Net: a unified mutual‐domain material decomposition network for quantitative dual‐energy CT imaging
DIRECT‐Net: a unified mutual‐domain material decomposition network for quantitative dual‐energy CT imaging
Abstract Purpose The purpose of this paper is to present an end-to-end deep convolutional neural network to improve the du...
A conventional‐to‐spectral CT image translation augmentation workflow for robust contrast injection‐independent organ segmentation
A conventional‐to‐spectral CT image translation augmentation workflow for robust contrast injection‐independent organ segmentation
Abstract Purpose In computed tomography (CT) cardiovascular imaging, the numerous contrast injection protocols used to enh...
A multitask dual‐stream attention network for the identification of KRAS mutation in colorectal cancer
A multitask dual‐stream attention network for the identification of KRAS mutation in colorectal cancer
Abstract Purpose It is of great significance to accurately identify the KRAS gene mutation status for patients in tumor pr...
Technical Note: Providing proton fields down to the few‐MeV level at clinical pencil beam scanning facilities for radiobiological experiments
Technical Note: Providing proton fields down to the few‐MeV level at clinical pencil beam scanning facilities for radiobiological experiments
Abstract Purpose The adequate performance of radiobiological experiments using clinical proton beams, typically requires s...
3D ring artifacts removal algorithm combined low‐rank tensor decomposition with spatial‐sequential total variation regularization and its application in phase‐contrast microtomography
3D ring artifacts removal algorithm combined low‐rank tensor decomposition with spatial‐sequential total variation regularization and its application in phase‐contrast microtomography
Abstract Purpose High-resolution synchrotron radiation X-ray phase contrast microtomography (PC-μCT) images often su...
Automatic upper airway segmentation in static and dynamic MRI via anatomy‐guided convolutional neural networks
Automatic upper airway segmentation in static and dynamic MRI via anatomy‐guided convolutional neural networks
Abstract Purpose Upper airway segmentation on MR images is a prerequisite step for quantitatively studying the anatomical ...
Improving motion‐mask segmentation in thoracic CT with multiplanar U‐nets
Improving motion‐mask segmentation in thoracic CT with multiplanar U‐nets
Abstract Purpose. Motion-mask segmentation from thoracic computed tomography (CT) images is the process of extracting the ...
Impact of the dose quantity used in MV photon optimization on dose distribution, robustness and complexity
Impact of the dose quantity used in MV photon optimization on dose distribution, robustness and complexity
Abstract Purpose Convolution/superposition algorithms used in MV photon radiotherapy model radiation transport in water, y...
Evaluation of prediction and classification performances in different machine learning models for patient‐specific quality assurance of head‐and‐neck VMAT plans
Evaluation of prediction and classification performances in different machine learning models for patient‐specific quality assurance of head‐and‐neck VMAT plans
Abstract Purpose The purpose of this study is to evaluate the prediction and classification performances of the gamma pass...
Data‐driven respiratory signal estimation from temporally finely sampled projection data in conventional cardiac perfusion SPECT imaging
Data‐driven respiratory signal estimation from temporally finely sampled projection data in conventional cardiac perfusion SPECT imaging
Abstract Attempts have been made to estimate a surrogate respiratory signal from the SPECT data itself, but noise, variati...
Synthesizing high‐resolution MRI using parallel cycle‐consistent generative adversarial networks for fast MR imaging
Synthesizing high‐resolution MRI using parallel cycle‐consistent generative adversarial networks for fast MR imaging
Abstract Purpose : The common practice in acquiring the magnetic resonance (MR) images is to obtain two-dimensional (2D) s...
Motion compensation for aortic valves using partial angle CT reconstructions motion compensation of cardiac valve CT
Motion compensation for aortic valves using partial angle CT reconstructions motion compensation of cardiac valve CT
Abstract Purpose: A motion compensation method that is aimed at correcting motion artifacts of cardiac valves is proposed....
Thermoacoustic tomography from magnetic nanoparticles by single‐pulse magnetic field
Thermoacoustic tomography from magnetic nanoparticles by single‐pulse magnetic field
Abstract Purpose A mechanism of single-pulse magnetic field (SMF) inducing magnetic nanoparticles (MNPs) to generate the t...
Monte Carlo study of the mechanism of proton‐boron fusion therapy
Monte Carlo study of the mechanism of proton‐boron fusion therapy
Abstract Goal Proton beam therapy has been found to have enhanced biological effectiveness in targets that contain the bor...
A novel hardware duo of beam modulation and shielding to reduce scatter acquisition and dose in cone‐beam breast CT
A novel hardware duo of beam modulation and shielding to reduce scatter acquisition and dose in cone‐beam breast CT
Abstract Purpose In cone-beam breast CT, scattered photons form a large portion of the acquired signal, adversely impactin...
Use of a DVH overlay technique for quality assurance of deformable image registration‐based dose accumulation
Use of a DVH overlay technique for quality assurance of deformable image registration‐based dose accumulation
Abstract Purpose We present a DVH overlay technique as a quality assurance (QA) metric for deformable image registration-b...
A CT‐less approach to quantitative PET imaging using the LSO intrinsic radiation for long‐axial FOV PET scanners
A CT‐less approach to quantitative PET imaging using the LSO intrinsic radiation for long‐axial FOV PET scanners
Abstract Purpose : Long-axial field-of-view (FOV) PET scanners have gained a lot of interest in the recent years. Such sca...
Experimental determination of the effective point of measurement of the PTW‐31010 ionization chamber in proton and carbon ion beams
Experimental determination of the effective point of measurement of the PTW‐31010 ionization chamber in proton and carbon ion beams
Abstract Purpose The accurate knowledge of the effective point of measurement (Peff) is particularly important for measure...
Superiorization versus regularization: A comparison of algorithms for solving image reconstruction problems with applications in computed tomography
Superiorization versus regularization: A comparison of algorithms for solving image reconstruction problems with applications in computed tomography
Abstract Purpose A system matrix can be built in order to account for the refractions in an optical computed tomography (C...
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