Graph cut-based segmentation
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Graph cut-based segmentation. / Petersen, Jens; Oguz, Ipek; de Bruijne, Marleen.
Medical Image Analysis. Academic Press, 2023. p. 247-273.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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TY - CHAP
T1 - Graph cut-based segmentation
AU - Petersen, Jens
AU - Oguz, Ipek
AU - de Bruijne, Marleen
N1 - Publisher Copyright: © 2024 Elsevier Ltd. All rights reserved.
PY - 2023
Y1 - 2023
N2 - This chapter describes how to use graph cut methods for medical image segmentation. Graph cut methods are designed to solve problems that can be modeled using Markov random fields. A brief introduction to graph theory, flow networks, and Markov Random Fields are therefore given. The chapter shows how a range of segmentation tasks can be formulated as such energy minimization problems and demonstrates how they can be solved with graph cuts. Specific examples of how to segment coronary arteries in computed tomography angiography images and the multilayered surfaces of airways in computed tomography images are given.
AB - This chapter describes how to use graph cut methods for medical image segmentation. Graph cut methods are designed to solve problems that can be modeled using Markov random fields. A brief introduction to graph theory, flow networks, and Markov Random Fields are therefore given. The chapter shows how a range of segmentation tasks can be formulated as such energy minimization problems and demonstrates how they can be solved with graph cuts. Specific examples of how to segment coronary arteries in computed tomography angiography images and the multilayered surfaces of airways in computed tomography images are given.
KW - Graph cut
KW - Segmentation
KW - Vessels
UR - http://www.scopus.com/inward/record.url?scp=85175383787&partnerID=8YFLogxK
U2 - 10.1016/B978-0-12-813657-7.00024-8
DO - 10.1016/B978-0-12-813657-7.00024-8
M3 - Book chapter
AN - SCOPUS:85175383787
SN - 9780128136584
SP - 247
EP - 273
BT - Medical Image Analysis
PB - Academic Press
ER -
ID: 372612745