Brachytherapy is a standard component in cervical cancer treatment. Venezia applicators allow addition of limited needle positions to tandem and ovoid procedures, but needle selection and insertion depth largely rely on physician judgement, requiring some lev...
Author profile
Jie Zhang
University of Maryland School of Medicine
Deep Learning–Based Needle Selection and Insertion Depth Determination for Venezia Applicator–Based Cervical Cancer Brachytherapy
Poster Program · Therapy Physics
Sparse-View 4D-CBCT Enhancement Via Deep Learning with Integrated Interpolation and Motion Compensation
Four-dimensional cone-beam computed tomography (4D-CBCT) enables visualization of respiration-induced anatomical motion but suffers from degraded image quality due to sparse-view acquisition. This study proposes a deep learning-based approach combining interp...
Poster Program · Therapy Physics
Robotic Volumetric Ultrasound and Dual-Modality Ultrasound–Protoacoustic Imaging for Proton Therapy Monitoring
Accurate radiotherapy delivery requires precise knowledge of soft-tissue anatomy at the time of treatment, particularly for abdominal targets affected by respiration, peristalsis, and inter-fractional anatomical changes. Current clinical systems provide limit...
Proffered Program · Therapy Physics