To develop an automated CT quality control (QC) query system that retrieves, analyzes, and trends QC data and enables image artifact review across iPhone, iPad, and Computer platforms for 71 GE and Siemens CT scanners spanning nuclear medicine, interventional...
Author profile
Shanli Ding, MS
The University of Texas MD Anderson Cancer Center
Advanced Mobile-Enabled CT Quality Control Server
Poster Program · Diagnostic and Interventional Radiology Physics
Automatic CT Quality Assurance Artifact Detection Using Residual-Enhanced Teacher–Student Learning Artificial Intelligence
Routine CT quality assurance (QA) relies on visual inspection, where subtle non-uniformities can be difficult to identify consistently across scanners and readers. We developed an efficient, interpretable artificial intelligence-assisted tool that detects and...
Poster Program · Diagnostic and Interventional Radiology Physics
BLUE RIBBON POSTER RADIOPHARMACEUTICALS: Improving Myocardial Quantitation Using Data-Driven Gated PET/CT
Accurate PET/CT registration is essential for quantitative cardiac PET. Common approaches include manual rigid registration of CT to PET (MRR) and average CT derived from cine CT (ACT). We evaluated whether data-driven gated PET combined with end-expiration C...
Poster Program · Radiopharmaceuticals, Theranostics, and Nuclear Medicine