Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Dynamic myocardial perfusion CT (MPCT) serves as a critical tool for functional assessment of multiple diseases, including coronary stenosis and myocardial ischemia. However, the continuous acquisition required to track contrast kinetics incurs substantial ra...
Direct-to-treatment radiotherapy eliminates CT simulation and pre-planning, reduces consultation-to-treatment intervals from weeks to hours. This study evaluated the feasibility of an ultra-hypofractionated whole-breast workflow that omits simulation and adva...
The HyperSight 6-second rapid scan has been used clinically for internal-target-volume(ITV) definition. However, limited temporal sampling may lead to ITV underestimation, particularly for irregular motion. Using a joint dynamic reconstruction and motion-esti...
Direct-to-unit (DTU) radiotherapy, which bypasses CT simulation and prospective planning, offers an opportunity to markedly shorten the interval from consultation to treatment and expand access to timely breast cancer care. Building on prior feasibility work,...
Standard Cone-Beam CT (CBCT) enables cost-effective Dual-Energy CT (DECT) via a one-kVp-switching protocol(switching energy once in the middle of a full scan), but inherently suffers from geometry-inconsistent data acquisition and unknown spectral characteris...