Parametric Volumetric Registration
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Parametric Volumetric Registration. / Yushkevich, Paul A.; Zhang, Miaomiao; Sporring, Jon.
Medical Image Analysis. ed. / Alejandro Frangi; Jerry Prince; Milan Sonka. Academic Press, 2023. p. 331-354.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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TY - CHAP
T1 - Parametric Volumetric Registration
AU - Yushkevich, Paul A.
AU - Zhang, Miaomiao
AU - Sporring, Jon
PY - 2023/9/29
Y1 - 2023/9/29
N2 - Volumetric registration (VR) is one of the most studied problems in the medical image analysis field. This chapter begins by highlighting common medical image analysis problems that require VR (e.g., within-subject longitudinal registration, fusion of imaging modalities during image-guided surgery, or groupwise normalization for fMRI analysis) and describing the basic elements of the VR pipeline, such as spatial transformations, dissimilarity metrics and regularization terms. The latter part of the chapter focuses on registration approaches that parameterize spatial transformations using a limited set of coefficients, including rigid/affine transformations and B-Spline transformations. The chapter closes with a discussion of real-world considerations for implementing parametric VR.
AB - Volumetric registration (VR) is one of the most studied problems in the medical image analysis field. This chapter begins by highlighting common medical image analysis problems that require VR (e.g., within-subject longitudinal registration, fusion of imaging modalities during image-guided surgery, or groupwise normalization for fMRI analysis) and describing the basic elements of the VR pipeline, such as spatial transformations, dissimilarity metrics and regularization terms. The latter part of the chapter focuses on registration approaches that parameterize spatial transformations using a limited set of coefficients, including rigid/affine transformations and B-Spline transformations. The chapter closes with a discussion of real-world considerations for implementing parametric VR.
U2 - 10.1016/B978-0-12-813657-7.00028-5
DO - 10.1016/B978-0-12-813657-7.00028-5
M3 - Book chapter
SN - 9780128136577
SP - 331
EP - 354
BT - Medical Image Analysis
A2 - Frangi, Alejandro
A2 - Prince, Jerry
A2 - Sonka, Milan
PB - Academic Press
ER -
ID: 365966060