Ph.D. Proposal Oral Exam - Navdeep Dahiya

Event Details
  • Date/Time:
    • Thursday October 17, 2019
      12:00 pm - 2:00 pm
  • Location: Room 509, TSRB
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Summary Sentence: Integrated 3D Anatomical Model for Automatic Myocardial Segmentation in Cardiac CT Imagery

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Title: Integrated 3D Anatomical Model for Automatic Myocardial Segmentation in Cardiac CT Imagery


Dr. Yezzi, Advisor

Dr. Vela, Chair

Dr. Oshinski

Dr. Dixon

Abstract: The objective of the proposed research is to develop a novel multi-dimensional automatic edge detection algorithm based on shape priors and principal component analysis (PCA) for automatic segmentation of myocardial boundaries in cardiac CT imagery. Function and anatomy are both equally important in the assessment of coronary artery disease (CAD). Currently, there are few, if any, tools that can perform full automatic cardiac segmentation available in the market, which hampers the translation of a multi-modality fusion approach to the clinical environment. We propose to develop algorithms which will allow efficient segmentation of the left and right endocardia and biventricular epicardium from clinical CT datasets with minimal user intervention, clinically acceptable times and accuracy.

Additional Information

In Campus Calendar

ECE Ph.D. Proposal Oral Exams

Invited Audience
Phd Defense, graduate students
  • Created By: Tasha Torrence
  • Workflow Status: Published
  • Created On: Oct 10, 2019 - 2:48pm
  • Last Updated: Oct 10, 2019 - 3:05pm