Artificial intelligence (AI) is transforming breast imaging by enhancing detection accuracy, improving workflow efficiency, and aiding in clinical decision support. Computer-aided detection (CAD) systems for mammography have been available since the late 1990...
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University of Chicago
Rank #31 · 27 unique linked submissions.
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Therapy Physics
Dose sparing of cardiac substructures has the potential to improve thoracic radiotherapy outcomes beyond conventional whole-heart dose-volume metrics. However, manual delineation of numerous substructures is prohibitive, limiting the availability of high-qual...
Diagnostic and Interventional Radiology Physics
Multiparametric brain MRI is essential for delineating pediatric brain tumor subregions; however, long acquisition times often preclude complete multi-contrast imaging in pediatric patients, and large public pediatric lesion datasets remain limited. We propos...
To develop a slice-specific CT organ dose library using Monte Carlo radiation transport simulations on a set of newborn, infant, and toddler (NIT) computational phantoms containing newly developed age-specific skeletal tissue models. This dose library forms t...
To determine the appropriateness of using an anti-scatter grid in pediatric diagnostic fluoroscopy.
To develop an open-source universal software for benchmarking signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in annual fluoroscopy evaluations. This method provides an objective and reproducible measure of image quality as an alternative to qua...
Accurate histological subtype classification of pleural mesothelioma (PM) from CT imaging remains challenging due to limited labeled data and substantial morphological variability. Data augmentation is a common strategy used to avoid overfitting when training...
This study addressed class imbalance in automated pleural mesothelioma segmentation and demonstrated that addressing this imbalance significantly improves agreement in the optimal probability map threshold, enabling simultaneous optimization of both spatial o...
Grayscale ultrasound is widely used in breast screening, diagnosis, and ultrasound-guided biopsy, particularly for detecting breast lesions. However, current Quality Control (QC) methods provide limited and often subjective assessment of lesion detectability...
Although immune checkpoint blockade (ICB) benefits only a subset of patients, combining ICB with stereotactic body radiation therapy (SBRT) may enhance therapeutic response. Building on a validated CT-based radiomics score (RS) that predicts patient-level res...
Propagation-based X-ray phase contrast computed tomography (PB-XPCT) reconstructs the complex index of refraction whose real part, responsible for the phase shifting of x-rays, is known to differ more among soft tissues than the imaginary part, responsible fo...
In this study, image quality of eleven mobile C-arm fluoroscopic systems across one institution was evaluated using visual assessment and Rose Signal-to-Noise Ratio (SNR) calculation. The aim was to rank c-arm image quality using contrast detail-based metrics.
IM- MRI
Cardiac MRI is a unique diagnostic modality that is often given limited focus in medical physics educational and training programs, despite its ubiquity in clinical practice. The physics and clinical challenges inherent to cardiac MRI are a worthwhile subject...
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This study evaluates the sensitivity of two cardiac-gated rosette pulse sequences for MR-based measurement of the oxygen extraction fraction (OEF), which is predictive of recurring ischemic stroke in intracranial atherosclerotic disease (ICAD). The present wo...
To develop artificial intelligence (AI) methods with improved repeatability and reproducibility, a recognized need is for large, publicly available, and curated imaging data sets. Notable public repositories of DICOM images exist, including the Medical Image...
This session is a joint session from the journal editorial leadership of Medical Physics and JACMP, touching on the evolving vision of both journals and exploring the growing interplay between artificial intelligence, physics principles, and the future of sci...
Therapy Physics
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Diagnostic and Interventional Radiology Physics
Accurate delineation of glioma substructures on multi-parametric MRI (mp-MRI) is critical for diagnosis, radiotherapy planning, and treatment response assessment. However, manual annotation of tumor subregions is labor-intensive and subject to inter-observer...
Traditional reliability analyses of linear accelerators (LINACs) have typically focused on individual components using limited datasets, failing to exploit the comprehensive operational insights contained within service logs. This study presents a novel, auto...
To evaluate the effects of Laser Interstitial Thermal Therapy (LITT) on drug delivery to malignant brain tumors (MB) by quantitatively measuring perfusion (blood flow and blood volume) and permeability using low-dose contrast-enhanced MRI.
Gamma Knife (GK) radiosurgery is a specialized radiosurgery for brain metastases (BMs). GK plan quality depends strongly on target size and shape, making conventional plan metrics difficult to compare across patients. Dosimetric quality is also coupled with b...