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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Rank #35 · 25 unique linked submissions.
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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VMAT post-mastectomy and regional lymph node irradiation is a highly complex technique that requires multiple planning iterations to achieve adequate coverage while minimizing OAR doses. RapidPlan, a Varian knowledge-based modeling program, has improved plann...
This study evaluates the feasibility of an in-house Python script for analysis of routine quality assurance (QA) procedures that utilize an electronic portal imaging device (EPID) as a low-cost, efficient QA option compared to commercially available software....
Routine radiation therapy machine quality assurance (QA) relies on multiple independent devices and subjective manual measurements, which can limit efficiency and sensitivity to small mechanical deviations. The purpose of this work was to quantitatively evalu...
Estimating Cervical cancer α/β values from patient local control data and three methods of radiobiological parameter estimation.
To demonstrate a novel software package that will generate two- dimensional radiation field images and dose profiles of known characteristics for calibration of radiation therapy QA devices.
To evaluate the safety and efficiency of respiratory-gated radiotherapy by using a long-short-term memory (LSTM) model and its hybridized version with time-domain cross-correlation (TCC) to adapt to breathing motion irregularities without remodeling.
TheraSphere Global Dosimetry Steering Committee (DSC) defines five clinical scenarios for the treatment of hepatocellular carcinoma (HCC) using Yttrium-90 (Y-90) glass microsphere–based transarterial radioembolization (TARE), accounting for disease extent, tu...
To enhance the image quality of low-resolution 3D cine magnetic resonance (MR) images acquired at 2Hz by applying two single-image super-resolution deep-learning neural networks, so that the enhanced 3D cine images serve as better templates for more accurate...
Intracranial hemorrhage in premature infants is a frequent and clinically significant finding, with cranial ultrasound serving as the first-line imaging modality. Interpretation can be challenging due to subtle and variable imaging appearances. This study aim...
Deep learning-based image quality assessment (DL-IQA) models are commonly trained using radiologist ratings and may provide a more objective approach to CT image quality evaluation. However, clinical deployment may be limited by institutional variation in sca...
Stereotactic planning for ocular tumors is limited by long optimization times, inter-planner variability, and patient-specific requirements for fractionation, beam energy, and machine configuration. Knowledge-based planning (KBP) can reduce planning time and...
Population-level CT dose monitoring typically relies on summary statistics and benchmark comparisons, which can obscure distributional features such as multimodality and disproportionate upper tails. This preliminary feasibility study evaluated the utility of...
To determine, for three common cancers, if in vitro α/β estimates agree with clinical values, and if there are a common pattern of discrepancies.
ACR CT Dose Index Registry (DIR) benchmarking is commonly reviewed at discrete reporting intervals, but single-interval interpretation can be limited by benchmark shifts, transient variation, or incomplete reference data. This study evaluates how longitudinal...
To investigate whether PET-defined metabolic subregions within lung tumors exhibit distinct CT radiomic characteristics, enabling a spatially imaging-based assessment of intratumoral heterogeneity.
To determine whether natural-respiration breath hold (NRBH) should be used to freeze organ motion rather than deep-inspiration breath hold (DIBH) in abdominal cancer treatments, as NRBH should be more reproducible, retaining organ normal size, shape, and posi...
This study models clinical outcomes of SFRT treatments delivered using the 3D MLC-based Crossfire technique.
We present the results of anthropomorphic phantoms (IROC Houston) irradiations at 2-academic institutions for independent verification of highly heterogenous dose distributions via 3D MLC-based SFRT plans for credentialling multi-institutional site-specific c...
We investigated optimal geometric parameters for spatially fractionated radiotherapy (SFRT) through in-vitro experiments.
The ACR Fluoroscopy Dose Index Registry (DIR-FL) collected dose indices for diagnostic fluoroscopy procedures as part of a pilot program to expand the registry beyond interventional procedures. The data serve as the first insights by the DIR-FL into dosimetri...
This educational session will examine necessity and evolving role of patient-specific quality assurance (PSQA) methods for inversely-optimized plans that improve clinical efficiency and ensure patient safety when an immediate turn around is required for treat...
Diagnostic and Interventional Radiology Physics
To evaluate how patient size, injected FDG dose, and acquisition time relate to routine whole-body PET/CT image quality, and to assess whether a simple dose–time–weight index can guide individualized protocols for more consistent noise performance.
Accurate estimation of diagnostic imaging medical physics staffing requirements remains challenging as clinical scope, regulatory burden, and academic expectations expand. Although multiple activity-based staffing models are commonly cited for workforce plann...
External beam radiotherapy (RT) for ocular tumors is challenged by intra-fractional ocular motion. Although thermoplastic immobilization masks reduce head mobility, eye mobility remains problematic. Current motion-management options, including COMS brachyther...