To develop and validate a 3D deep learning autosegmentation model for prostate and OAR contouring on post-brachytherapy-catheter CT images for HDR prostate brachytherapy planning.
Author profile
Bryan Bednarz, PhD
Department of Medical Physics, University of Wisconsin-Madison
Radiopharmaceutical therapy (RPT) delivers targeted radiation to cancer cells. Patient‑specific dosimetry can help estimate dose and predict treatment outcome. However, tumor segmentation approaches vary across institutions, introducing uncertainty into dose...
To evaluate a MR-CT deformable registration workflow using a novel 3D-printed anthropomorphic phantom that enables controlled, known lumbar spine deformation, with assessment of geometric accuracy and quantitative integrity of MR fat-fraction (FF).
Targeted alpha therapy (TAT) produces fundamentally different dose-response behavior than beta-emitting therapy because energy deposition occurs from rare, short-ranged, high-LET particle traversals. Under typical TAT administered activities, many cells recei...
Catheter position uncertainty produces dosimetric error in HDR prostate brachytherapy, with reported displacements between planning and delivery of up to 5-7mm. Current inverse planning methods optimize dwell times for fixed catheter positions without account...
Focal dose escalation to the dominant intraprostatic lesion (GTV) improves biochemical control but is limited by urethral toxicity. 177Lu-PSMA radiopharmaceutical therapy (RPT) offers a targeted boost, yet its spatial heterogeneity in uptake leaves GTV sub-re...
To design and fabricate a 3D-printed anthropomorphic phantom of the lumbar spine and pelvis to evaluate and improve the quantitative accuracy of SPECT/CT imaging and dosimetry for bone marrow and vertebral body lesions.