A framework for predictive modeling of intra-operative deformations: A simulation-based study

Stelios K. Kyriacou, Dinggang Shen, Christos Davatzikos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Deformations that occur between pre-operative scans and the intra-operative setup can render pre-operative plans inaccurate or even unusable. It is therefore important to predict such deformations and account for them in pre-operative planning. This paper examines two different, yet related methodologies for this task, both of which collect statistical information from a training set in order to construct a predictive model. The first one examines the modes of co-variation between shape and deformation, and is therefore purely shape-based. The second approach additionally incorporates knowledge about the biomechanical properties of anatomical structures in constructing a predictive model. The two methods are tested on simulated training sets. Preliminary results show average errors of 9% (both methods) for a simulated dataset that had a moderate statistical variation and 36% (first method) and 23% (second method) for a dataset with a large statistical variation. Use of the above methodologies will hopefully lead to better clinical outcome by improving pre-operative plans.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings
EditorsScott L. Delp, Anthony M. DiGoia, Branislav Jaramaz
PublisherSpringer Verlag
Pages634-642
Number of pages9
ISBN (Print)3540411895, 9783540411895
DOIs
StatePublished - Jan 1 2000
Event3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000 - Pittsburgh, United States
Duration: Oct 11 2000Oct 14 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1935
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000
CountryUnited States
CityPittsburgh
Period10/11/0010/14/00

Keywords

  • Deformable mapping
  • Finite element modeling and simulation
  • Registration techniques

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'A framework for predictive modeling of intra-operative deformations: A simulation-based study'. Together they form a unique fingerprint.

  • Cite this

    Kyriacou, S. K., Shen, D., & Davatzikos, C. (2000). A framework for predictive modeling of intra-operative deformations: A simulation-based study. In S. L. Delp, A. M. DiGoia, & B. Jaramaz (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings (pp. 634-642). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1935). Springer Verlag. https://doi.org/10.1007/978-3-540-40899-4_65