Deformation-based mapping of volume change from serial brain MRI in the presence of local tissue contrast change

Colin Studholme, Corina Drapaca, Bistra Iordanova, Valerie Cardenas

Research output: Contribution to journalArticlepeer-review

124 Scopus citations

Abstract

This paper is motivated by the analysis of serial structural magnetic resonance imaging (MRI) data of the brain to map patterns of local tissue volume loss or gain over time, using registration-based deformation tensor morphometry. Specifically, we address the important confound of local tissue contrast changes which can beinduced by neurodegenerative or neurodevelopmental processes. These not only modify apparent tissue volume, but also modify tissue integrity and its resulting MRI contrast parameters. In order to address this confound we derive an approach to the voxel-wise optimization of regional mutual information (RMI) and use this to drive a viscous fluid deformation model between images in a symmetric registration process. A quantitative evaluation of the method when compared to earlier approaches is included using both synthetic data and clinical imaging data. Results show a significant reduction in errors when tissue contrast changes locally between acquisitions. Finally, examples of applying the technique to map different patterns of atrophy rate in different neurodegenerative conditions is included.

Original languageEnglish (US)
Pages (from-to)626-639
Number of pages14
JournalIEEE transactions on medical imaging
Volume25
Issue number5
DOIs
StatePublished - May 2006

All Science Journal Classification (ASJC) codes

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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