[Defense] 3D Torso image retrieval of prior patients cases for enhancing consultation about breast reconstruction surgery
Friday, April 19, 2024
2:15 pm - 4:00 pm
In
Partial
Fulfillment
of
the
Requirements
for
the
Degree
of
Doctor
of
Philosophy
Nassima
Noufail
will
defend
her
dissertation
3D
Torso
image
retrieval
of
prior
patients
cases
for
enhancing
consultation
about
breast
reconstruction
surgery
Abstract
The ability to utilize 3D imaging technology to retrieve and compare cases of previous patients can improve the clarity and precision of the consultations. This dissertation introduces a novel system of 3D torso image retrieval, aimed at enhancing consultation process for breast reconstruction surgeries. We developed a method that exploits the use of suggestive contours for 3d model retrieval. Coupled with the structure tensor, the suggestive contours communicate crucial features for the retrieval. Suggestive contours capture the prominent features and edges within 3D objects, providing a more concise and informative representation of the geometry. By incorporating them into the retrieval process, the system can effectively capture the distinctive shape characteristics of the objects, enabling more accurate and efficient retrieval results. We evaluate our methods on two real-world datasets and demonstrate competitive performance, we also conduct rich experiments that have demonstrated that the proposed method is successful on a variety of patients. We Gave surgeons access to retrieve top similar patients to a new patient easily, which could help them with surgical planning and managing patients’ expectations.
Friday,
April
19,
2024
2:15
PM
-
4:00
PM
CT
Engineering Technology Technology Building: T2-323
Dr. Fatima Merchant, dissertation advisor
Faculty, students, and the general public are invited.
- Location
- T2 323