Automatic Segmentation and Registration of the Cardiac Myocardium for Targeted Localization of Cardiac Arrhythmias in Radiotherapy (UCLA Case No. 2021-274)

UCLA researchers from the department of Radiation Oncology have developed a novel artificial intelligence (AI) method to automatically generate a contour model from image data of patients with cardiac arrythmias for the improvement of stereotactic body radiation therapy (SBRT).

Related Papers (from the inventors only): Morris E, Chin R, Wu T, Smith C, Nejad-Davarani S, Cao M. ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation Therapy. Cancers (Basel). 2023 Aug 11;15(16):4062. doi: 10.3390/cancers15164062

Keywords: VT, ventricular tachycardia, cardiac arrythmia, coronary artery disease, cardiomyopathy, RFA, SBRT, ASSET, LV, RV, radiation therapy, CT, MRI, 17-segment contour model

Patent Information:
For More Information:
Earl Weinstein
Associate Director of Business Development
eweinstein@tdg.ucla.edu
Inventors:
Minsong Cao
Dan Ruan