All conference submissions

Improve accessibility of Modulation Transfer Function (MTF) metrics for implementing routine quality control (QC) of fluoroscopes.

To develop a phantom for evaluating CT gout identification and determine phantom longevity.

Due to the fact that the CT value varies non-linearly with the change of tube voltage, traditional 120kVp QCT models are incompatible to CT scans with different tube voltage. In this work, we propose and validate a PL-QCT BMD cal...

Mammography (compressed 2D) and MRI (uncompressed 3D) capture breast tissue under different conditions, complicating tumor localization across modalities. To bridge this gap, we developed a customizable physical platform to simul...

To conduct a comprehensive multi-center audit evaluating the technical performance, image quality, and radiation safety of digital mammography systems across 24 unique healthcare facilities in Saudi Arabia. This study aims to est...

To establish standardized, probe-specific depth of penetration baselines for protocol-specific clinical use across ultrasound transducers to support routine quality assurance (QA), enable early detection of probe degradation, and...

To determine the optimal balance between radiation dose, acquisition time, and diagnostic performance in spectral photon-counting CT (SPCCT).

Three-dimensional multi-organ segmentation is a critical step in preclinical micro-CT imaging for quantitative analysis and reproducibility of longitudinal studies. However, manual delineation remains time-consuming and prone to...

To establish the local diagnostic reference levels (LDRL) for low-dose CT (LDCT) using an automated dose management system and to evaluate the relative impacts of gender and body weight on radiation dose.

Patient instructions for radiation-related skin effects after fluoroscopy-guided interventional procedures are integral to substantial-dose follow-up programs. Patient-facing materials often exceed health-literacy targets, riskin...

The purpose of this study is to evaluate image quality, effective dose, and projected cancer risk to patients during pediatric Contrast-Enhanced Computed Tomography (CECT) procedures.

Canon Healthcare Systems USA has recently introduced a volumetric planning scan, known as the 3D Landmark, designed to support automatic exposure control (AEC), automated anatomical landmark detection for scan planning, and patie...

X-ray angiography systems are used to diagnose and treat pediatric congenital heart disease. Among the substantial variability in this patient population is that patient weight ranges from <1 kg premature infants to large adolesc...

Limited-angle cone-beam CT (CBCT) reconstruction suffers from missing projection data, leading to severe streak artifacts, structural distortions, and degraded image quality. This study proposes a conditional diffusion-based proj...

This study aimed to generate system-specific Percent Depth Dose (PDD) and Tissue‑Air Ratio (TAR) curves using an acrylic slab phantom and custom 3D‑printed ion‑chamber holders.

Laboratory-based micro-X-ray fluorescence(micro-XRF) offers micrometer-scale spatial profiling of elemental distribution in biological tissues. However, quantitative analysis of thin tissue sections can be influenced by instrumen...

To compare the reproducibility of radiomics features between deep learning (DL) and adaptive statistical iterative reconstruction (ASIR) CT images under systematic acquisition parameter variations using the GE Revolution Apex sca...

To develop and validate a unified multimodal medical foundation model that combines visual understanding, cross-modal generation (image-text translation), and interpretable reasoning with visual grounding, and to quantify the gai...

MD values quantify visual loss. Through OCT images, physicians can obtain MD values to assess patients' visual status. This task is crucial for early patient screening. However, current AI-based MD prediction methods lack interpr...

This talk describes our organization’s CT optimization program, and how we implemented it to make efficient use of limited physicist time.

To address the persistent loss of connectivity and thickness instability in 3D microscopy segmentation of tubular structures, we propose a topology-aware learning framework that explicitly supervises tubular geometry beyond voxel...

The x-ray tube focal spot is a key determinant of imaging system resolution. Digital pinhole radiography yields the source point spread function (PSFsource) in addition to the nominal size. Using a compact digital detector of a t...

Nuclei segmentation in histopathology images is fundamental for cancer diagnosis and quantitative analysis, yet existing supervised and weakly supervised methods require extensive manual annotations. Although vision–language pre-...

Diagnostic and Interventional Radiology Physics