Non-rigid image registration: theory and practice
Top Cited Papers
- 1 December 2004
- journal article
- review article
- Published by Oxford University Press (OUP) in The British Journal of Radiology
- Vol. 77 (suppl_2) , S140-S153
- https://doi.org/10.1259/bjr/25329214
Abstract
Image registration is an important enabling technology in medical image analysis. The current emphasis is on development and validation of application-specific non-rigid techniques, but there is already a plethora of techniques and terminology in use. In this paper we discuss the current state of the art of non-rigid registration to put on-going research in context and to highlight current and future clinical applications that might benefit from this technology. The philosophy and motivation underlying non-rigid registration is discussed and a guide to common terminology is presented. The core components of registration systems are described and outstanding issues of validity and validation are confronted.Keywords
This publication has 118 references indexed in Scilit:
- Robust registration of 2D and 3D point setsImage and Vision Computing, 2003
- Simultaneous registration and activation detection for fMRIIEEE Transactions on Medical Imaging, 2003
- A new point matching algorithm for non-rigid registrationComputer Vision and Image Understanding, 2003
- Invertibility and transitivity analysis for nonrigid image registrationJournal of Electronic Imaging, 2003
- Nonrigid registration of 3-D free-hand ultrasound images of the breastIEEE Transactions on Medical Imaging, 2002
- Landmark-based elastic registration using approximating thin-plate splinesIEEE Transactions on Medical Imaging, 2001
- A survey of hierarchical non-linear medical image registrationPattern Recognition, 1999
- Using Partial Derivatives of 3D Images to Extract Typical Surface FeaturesComputer Vision and Image Understanding, 1995
- Computing the Differential Characteristics of Isointensity SurfacesComputer Vision and Image Understanding, 1995
- Multiresolution elastic matchingComputer Vision, Graphics, and Image Processing, 1989