Abstract
This work takes is part of a medical research project which intends to induce and study cardiac hibernation in rats. The underlying goal is to understand the physiology of heart disease. We present here a novel method to compute the 2D-deformation field of the heart (rat or human) from tagged MRI. Previous work is not suitable for wide clinical use for different reasons, including important computing time and lack of robustness. We propose an original description of tags as local minima of 1D signals. This leads us to a new formulation of the tag tracking problem as an Extrema Temporal Chaining (ETC) and a 2D-rendering. 2D-displacements are then interpolated on a dense field. The developed method is fast and robust. Its performances are compared to those of HARP, a leading method in this field. © Springer-Verlag Berlin Heidelberg 2006.
| Original language | English |
|---|---|
| Title of host publication | Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings |
| Publisher | Springer Verlag |
| Pages | 897-908 |
| Volume | 4179 LNCS |
| ISBN (Print) | 3540446303, 9783540446309 |
| DOIs | |
| Publication status | Published - 2006 |
| Externally published | Yes |
| Event | 8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006 - Antwerp, Belgium Duration: 18 Sept 2006 → 21 Sept 2006 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4179 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006 |
|---|---|
| Place | Belgium |
| City | Antwerp |
| Period | 18/09/06 → 21/09/06 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Extrema temporal chaining: A new method for computing the 2D-displacement field of the heart from tagged MRI'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver