Non-rigid registration of mammogram images using large displacement optical flow with extended flexibility for manual interventions
Name
1076344850-MIT.pdf
Description
Full printable version
Size
2.98 MB
Format
Adobe PDF
Checksum (MD5)
9ee5210a7eae4d469c9335ad68102ca9
Author(s)
Song, Hae Jin, S.M. Massachusetts Institute of Technology
Advisor(s)
Regina Barzilay.
Date Issued
2018
Publisher
Massachusetts Institute of Technology
Abstract
This thesis presents a registration method for mammogram images with extended flexibility for manual inputs from medical specialists. The algorithm was developed as part of the Mammography project led by Professor. Regina Barzilay at MIT CSAIL. Given a sequence of mammogram images, the algorithm finds an optimal registration by considering both the global and local constraints as well as user-defined constraints such as manually selected matching points. This allows the registration process to be guided by both the algorithm itself and human experts. The second half of the thesis focuses on evaluating well-known optical flow and medical registration algorithms on mammogram images. It provides insights into how they perform when encountered by challenges and constraints that are unique in mammogram images.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 43-44).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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