Displaying 101 - 110 of 120
Pediatric IQ Phantoms: Digital Pediatric Image Quality Phantoms and Simulations for Evaluating CT Denoising Methods
The Pediatric IQ Phantoms tool is a dataset of virtual image quality phantoms in a range of diameters and their computed tomography (CT) images for assessing pediatric generalizability of CT denoising devices.
MRI-IQ-ETK: Digital MRI Test Phantoms and Automated Image Quality Evaluation Toolkit for Assessing MRI Image Reconstruction Methods
MRI-IQ-ETK is a software toolkit that contains digital test phantom generation and automated image quality evaluation components intended to help assess the performance of MRI image reconstruction methods.
Program Areas:
Medical Imaging and Diagnostics
COPE: Contrast Perception Evaluation on Head-Mounted Displays
Categories:
Lab Method
This regulatory science tool is a laboratory method for the evaluation of contrast perception on head-mounted displays.
Program Areas:
Medical Extended Reality
Calzone: Evaluating the Calibration of Probabilistic Models
Categories:
Computer Model
This regulatory science tool is a software for evaluating the calibration of models with probabilistic output.
Program Areas:
AI / Machine Learning
Multi-QuCAD: Software to Evaluate Wait-Time-Savings and Delays Due to CADt Devices for Multiple Diseases in Clinical Workflow
Categories:
Computer Model
Tools that quantify wait-time-saving benefits and delays for patients with positive diagnoses across various disease conditions due to the implementation of multiple Computer-Aided Triage and Notification devices in a radiology workflow.
Program Areas:
AI / Machine Learning
Geometric Distortion Measurement Method on Video See-Through Augmented Reality Head-Mounted Displays
Categories:
Lab Method
This regulatory science tool (RST) is a laboratory method for measuring the geometric distortion of the physical space observed with video see-through (VST) head-mounted displays (HMDs).
Program Areas:
Medical Extended Reality
Hybrid Simulation Framework for Breast CT Virtual Imaging Trials
Categories:
Computer Model
This regulatory science tool (RST) is a software framework for generating hybrid breast CT images that combine simulated microcalcification clusters with real patient breast CT projection data.
Program Areas:
Medical Imaging and Diagnostics
SegAgree: Statistical Assessment of Agreement in Overlap-Based Performance Between an AI Segmentation Device and a Multi-Expert Human Panel
Categories:
Lab Method
This regulatory science tool is a lab method that can be used for the assessment of agreement in overlap-based performance between an AI segmentation device and a multi-expert human panel.
Program Areas:
AI / Machine Learning
T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images
Categories:
Dataset
T-SYNTH is a synthetic dataset of paired DM (2D imaging) and DBT (3D imaging) images derived from a Knowledge Based (KB) model, with lesion bounding boxes and pixel-level tissue segmentations of a variety of breast tissues.
Program Areas:
AI / Machine Learning
Assessing DBT Image Quality with CDMAM 4.0 Phantom and DL-Based Model Observer
Categories:
Computer Model
This regulatory science tool (RST) is a software suite that can assist with the objective task-based assessment of digital breast tomosynthesis (DBT) systems imaging performance that uses CDMAM 4.0 phantom and a deep learning (DL) model observer. The RST includes a set of Python scripts, a pre-trained baseline model, and the user’s manuals.
Program Areas:
Medical Imaging and Diagnostics