Statistical Shape Modeling of Pelvic Anatomy
Friday, August 9, 2024
8:30 AM-10:30 AM
BIOMED Master's Thesis Defense
Title:
Statistical Shape Modeling of Pelvic Anatomy: Design Envelope for Future Acetabular Implant Reconstructions and Statistical Shape Model Based on 15th-90th Percentile Ranges of Male and Female CT Scans
Speaker:
Lalith Sai Rahul Barla, Master's Candidate
School of Biomedical Engineering, Science and Health Systems
Drexel University
Advisor:
Steven Kurtz, PhD
Research Professor
School of Biomedical Engineering, Science and Health Systems
Drexel University
Details:
Severe bone loss in the pelvis, caused by factors such as previous revision total hip surgery or cancer, presents significant surgical reconstruction challenges with high risks of complications like infection and implant failure. This study aims to address the need for standardized, personalized implant solutions for these complex cases through the development of a statistical shape model (SSM) of the pelvis and corresponding design envelope. Utilizing CT scan data from the New Mexico Decedent Imaging Database, the study constructs percentile-based design templates for male and female pelvises, providing a foundation for improved acetabular implant reconstructions.
The developed statistical shape model captures the anatomical variations seen in severe pelvic bone loss cases, offering a standardized yet adaptable approach for designing patient-specific implants. By focusing on anatomical intricacies, the model seeks to enhance surgical outcomes, reduce complications, and improve the quality of life for patients undergoing pelvic reconstruction. Through verification testing, the study ensures the reliability and accuracy of the SSM.
This research contributes significantly to the field by providing a framework for tailoring implant solutions, advancing scientific understanding, and enhancing medical practices in pelvic reconstruction. The project's deliverables include a detailed statistical shape model and design envelopes representing pelvic shapes across percentiles, serving as valuable resources for researchers, engineers, and surgeons.
Contact Information
Natalia Broz
njb33@drexel.edu