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 language | English |
---|---|
Title of host publication | Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings |
Editors | Scott L. Delp, Anthony M. DiGoia, Branislav Jaramaz |
Publisher | Springer Verlag |
Pages | 634-642 |
Number of pages | 9 |
ISBN (Print) | 3540411895, 9783540411895 |
DOIs | |
Publication status | Published - 2000 |
Event | 3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000 - Pittsburgh, United States Duration: 2000 Oct 11 → 2000 Oct 14 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 1935 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000 |
---|---|
Country/Territory | United States |
City | Pittsburgh |
Period | 00/10/11 → 00/10/14 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2000.
Keywords
- Deformable mapping
- Finite element modeling and simulation
- Registration techniques
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science