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Medical image synthesis

Primary Investigators:
Ipek Oguz
Brief Description of Project:
Image synthesis is an active area of research, both within the computer vision/artificial intelligence community and within the medical imaging domain. This project tackles the problem of synthesizing one medical imaging modality from another.  More specifically, this summer project aims to synthesize different MRI contrasts (T1w, T2w, FLAIR) from each other. A common use scenario for this task is when one or more of the acquisitions are corrupted by motion artifacts and become unusable; our approach would be able to leverage the other modalities to reconstruct the corrupted modality. I expect this project to lead to a submission to the SPIE Medical Imaging Conference by the end of the summer.

Desired Qualifications:
Bash/python scripting, experience with ACCRE
Nature of Supervision:
I will meet with the student weekly. I have additional meetings as needed (e.g., near conference deadlines, etc). Both me and the other senior lab members (grad students/postdocs) are available for more frequent help as needed.
A Brief Research Plan (period is for 10 weeks):
1 week - project overview and plan development
6 weeks - project implementation
1 week - statistical evaluation
2 week - project write-up

Number of Open Slots: 2
Contact Information:
Name: Ipek Oguz
Department: Electrical Engineering and Computer Science