New Image-Based Techniques for Prostate Biopsy and Treatment
Abstract
This report details the research and training outcomes of a prostate cancer postdoctoral training award. The work resulted in technologies for segmentation, cancer detection, and brachytherapy seed detection that take advantage of ultrasound vibroelastography and ultrasound RF signals. In segmentation, we report a fully automatic algorithm that combines B-mode and elastography data within an active shape model approach. For cancer detection, we report the sensitivity of 75.5% for elastography in cancer detection. In brachytherapy seed detection and dosimetry, we showed that the use of raw RF ultrasound signals can result in partial detection of the seed clouds, sufficient for registration to C-arm fluoroscopy for the purpose of dosimetry. The results were published in form of five journal publications and six conference presentations in international journals and conferences. The PI attended nine conferences and meetings during the course of the award.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2012
- Accession Number
- ADA589640
Entities
People
- Mehdi Moradi
Organizations
- University of British Columbia