Chapter

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001

Volume 2208 of the series Lecture Notes in Computer Science pp 573-581

Date:

A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations

  • Julia A. SchnabelAffiliated withComputational Imaging Science Group, Radiological Sciences and Medical Engineering, Guy’s Hospital, King’s College
  • , Daniel RueckertAffiliated withVisual Information Processing, Dept. Computing, Imperial College of Science, Technology and Medicine
  • , Marcel QuistAffiliated withEasyVision Advanced Development, Philips Medical Systems
  • , Jane M. BlackallAffiliated withComputational Imaging Science Group, Radiological Sciences and Medical Engineering, Guy’s Hospital, King’s College
  • , Andy D. Castellano-SmithAffiliated withComputational Imaging Science Group, Radiological Sciences and Medical Engineering, Guy’s Hospital, King’s College
  • , Thomas HartkensAffiliated withComputational Imaging Science Group, Radiological Sciences and Medical Engineering, Guy’s Hospital, King’s College
  • , Graeme P. PenneyAffiliated withComputational Imaging Science Group, Radiological Sciences and Medical Engineering, Guy’s Hospital, King’s College
  • , Walter A. HallAffiliated withDept. Neurosurgery, University of Minnesota
  • , Haiying LiuAffiliated withDept. Radiology, University of Minnesota
    • , Charles L. TruwitAffiliated withDept. Radiology, University of Minnesota
    • , Frans A. GerritsenAffiliated withEasyVision Advanced Development, Philips Medical Systems
    • , Derek L. G. HillAffiliated withComputational Imaging Science Group, Radiological Sciences and Medical Engineering, Guy’s Hospital, King’s College
    • , David J. HawkesAffiliated withComputational Imaging Science Group, Radiological Sciences and Medical Engineering, Guy’s Hospital, King’s College

* Final gross prices may vary according to local VAT.

Get Access

Abstract

This work presents a framework for non-rigid registration which extends and generalizes a previously developed technique by Rueckert et al. [1]. We combine multi-resolution optimization with free-form deformations (FFDs) based on multi-level B-splines to simulate a non-uniform control point distribution. We have applied this to a number of different medical registration tasks to demonstrate its wide applicability, including interventional MRI brain tissue deformation compensation, breathing motion compensation in liver MRI, intramodality inter-modality registration of pre-operative brain MRI to CT electrode implant data, and inter-subject registration of brain MRI. Our results demonstrate that the new algorithm can successfully register images with an improved performance, while achieving a significant reduction in run-time.