Modeling viscous damping in actuated breast tissue to provide diagnostic insight for breast cancer: A proof‐of‐concept analysis (2024)

AI in medical physics: guidelines for publication

Routine pretreatment patient‐specific IMRT QA (PS‐IMRT‐QA) should be discontinued and replaced with a real‐time on‐board beam monitoring system (BMS)

A T1‐based correction method for proton resonance frequency shift thermometry in breast tissue

Probabilistic feature extraction, dose statistic prediction and dose mimicking for automated radiation therapy treatment planning

Are gamma passing rate and dose–volume histogram QA metrics correlated?

Study of flow effects on temperature‐controlled radiofrequency ablation using phantom experiments and forward simulations

Error detection model developed using a multi‐task convolutional neural network in patient‐specific quality assurance for volumetric‐modulated arc therapy

Deformation driven Seq2Seq longitudinal tumor and organs‐at‐risk prediction for radiotherapy

Gaussian fitting algorithm with multi‐geometric parameters for rotated elliptical beam profiling using pixel ion chamber

Technical Note: Multiple energy extraction techniques for synchrotron‐based proton delivery systems may exacerbate motion interplay effects in lung cancer treatments

Deep learning‐based forward and cross‐scatter correction in dual‐source CT

Fast and effective single‐scan dual‐energy cone‐beam CT reconstruction and decomposition denoising based on dual‐energy vectorization

Energy‐integrating‐detector multi‐energy CT: Implementation and a phantom study

A clinical‐radiomics model incorporating T2‐weighted and diffusion‐weighted magnetic resonance images predicts the existence of lymphovascular invasion / perineural invasion in patients with colorectal cancer

Optimization of scintillator–reflector optical interfaces for the LUT Davis model

The effect of transmit B₁ inhomogeneity on hyperpolarized [1‐¹³C]‐pyruvate metabolic MR imaging biomarkers

Assessment of multi‐energy inter‐pixel coincidence counters for photon‐counting detectors at the presence of charge sharing and pulse pileup: A simulation study

Attention‐based deep learning system for automated diagnoses of age‐related macular degeneration in optical coherence tomography images

A new stationary grid, with grid lines aligned to pixel lines with submicron‐order precision, to suppress grid artifacts

Development of a neonate X‐ray phantom for 2D imaging applications using single‐tone inkjet printing

Feasibility of attenuation map alignment in pinhole cardiac SPECT using exponential data consistency conditions

Heart‐centered positioning and tailored beam‐shaping filtration for reduced radiation dose in coronary artery calcium imaging: A Multi‐Ethnic Study of Atherosclerosis (MESA) Study

Modeling viscous damping in actuated breast tissue to provide diagnostic insight for breast cancer: A proof‐of‐concept analysis

Technical Note: Scanner dependence of adaptive statistical iterative reconstruction with 3D noise power spectrum central frequency and noise magnitude ratios

An effective deep network for automatic segmentation of complex lung tumors in CT images

Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research

Classification of focal liver lesions in CT images using convolutional neural networks with lesion information augmented patches and synthetic data augmentation

H‐scan trajectories indicate the progression of specific diseases

Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation

Dynamic cardiac PET motion correction using 3D normalized gradient fields in patients and phantom simulations

Determination of the optimal range for virtual monoenergetic images in dual‐energy CT based on physical quality parameters

Segmentation of common and internal carotid arteries from 3D ultrasound images based on adaptive triple loss

Generation of synthetic PET images of synaptic density and amyloid from ¹⁸F‐FDG images using deep learning

Multitask 3D CBCT‐to‐CT translation and organs‐at‐risk segmentation using physics‐based data augmentation

MRI‐based radiomics analysis for predicting the EGFR mutation based on thoracic spinal metastases in lung adenocarcinoma patients

Managing tumor changes during radiotherapy using a deep learning model

Evaluation and optimization of radiomics features stability to respiratory motion in ¹⁸F‐FDG 3D PET imaging

Unraveling the interplay of image formation, data representation and learning in CT‐based COPD phenotyping automation: The need for a meta‐strategy

Utility of radiomic zones for risk classification and clinical outcome predictions using supervised machine learning during simultaneous ¹¹C‐choline PET/MRI acquisition in prostate cancer patients

Assessment of the impact of CT calibration procedures for proton therapy planning on pediatric treatments

Generation of parametric K_i images for FDG PET using two 5‐min scans

Proton stopping power prediction based on dual‐energy CT‐generated virtual monoenergetic images

Anatomically aided PET image reconstruction using deep neural networks

Technical Note: A preliminary study of dual‐tracer PET image reconstruction guided by FDG and/or MR kernels

Technical Note: Performance evaluation of a small‐animal PET/CT system based on NEMA NU 4–2008 standards

Design and validation of an MRI‐compatible mechatronic system for needle delivery to localized prostate cancer

Monte Carlo evaluation of a LYSO‐based Compton camera using two origin ensemble algorithms with resolution recovery

Real‐time CT image generation based on voxel‐by‐voxel modeling of internal deformation by utilizing the displacement of fiducial markers

Medical X‐band linear accelerator for high‐precision radiotherapy

Motion artifacts assessment and correction using optical tracking in synchrotron radiation breast CT

Proton range uncertainty reduction benefits for skull base tumors in terms of normal tissue complication probability (NTCP) and healthy tissue doses

IMRT QA and gamma comparisons: The impact of detector geometry, spatial sampling, and delivery technique on gamma comparison sensitivity

Ion chamber and film‐based quality assurance of mixed electron‐photon radiation therapy

Radiation shielding and safety implications following linac conversion to an electron FLASH‐RT unit

Technical Note: Four‐dimensional deformable digital phantom for MRI sequence development

Technical Note: Collimator angle optimization for multiple brain metastases in dynamic conformal arc treatment planning

Generation of material‐specific energy deposition kernels for kilovoltage x‐ray dose calculations

Commercial photodiodes and phototransistors as dosimeters of photon beams for radiotherapy

Quantification of internal dosimetry in PET patients II: Individualized Monte Carlo‐based dosimetry for [18F]fluorocholine PET

Development of a storage phosphor imaging system for proton pencil beam spot profile determination

Stopping‐power ratios for electron beams used in total skin electron therapy

Technical Note: End‐to‐end verification of an MR‐Linac using a dynamic motion phantom

Technical Note: Range verification of pulsed proton beams from fixed‐field alternating gradient accelerator by means of time‐of‐flight measurement of ionoacoustic waves

Technical Note: On the feasibility of performing dosimetry in target and organ at risk using polymer dosimetry gel and thermoluminescence detectors in an anthropomorphic, deformable, and multimodal pelvis phantom

Development of a DNA damage model that accommodates different cellular oxygen concentrations and radiation qualities

Predicting local failure of brain metastases after stereotactic radiosurgery with radiomics on planning MR images and dose maps

Interfractional diaphragmatic position variation according to stomach volume change during respiratory‐gated radiotherapy for hepatocellular carcinoma

A predictive model for fracture in human ribs based on in vitro acoustic emission data

OpenKBP: The open‐access knowledge‐based planning grand challenge and dataset

Technical Note: Dose prediction for radiation therapy using feature‐based losses and One Cycle Learning

Technical Note: Dose prediction for head and neck radiotherapy using a three‐dimensional dense dilated U‐net architecture

Technical Note: A cascade 3D U‐Net for dose prediction in radiotherapy

Cover

AAPM Task Group 241: A medical physicist’s guide to MRI‐guided focused ultrasound body systems

The CT Handbook: Optimizing Protocols for Today’s Feature Rich Scanners. Timothy P. Szczykutowicz, Author. Medical Physics Publishing, Madison, Wisconsin, 2020. Hardcover 580 pp. Price: $165.00. ISBN: 9780944838532.

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