Parametric Volumetric Registration
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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.
Original language | English |
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Title of host publication | Medical Image Analysis |
Editors | Alejandro Frangi, Jerry Prince, Milan Sonka |
Number of pages | 24 |
Publisher | Academic Press |
Publication date | 29 Sep 2023 |
Pages | 331-354 |
Chapter | 13 |
ISBN (Print) | 9780128136577 |
ISBN (Electronic) | 9780128136584 |
DOIs | |
Publication status | Published - 29 Sep 2023 |
ID: 365966060