Name
Title | ||
|---|---|---|
An Iterative Method for Registration of High-Resolution Cardiac Histoanatomical and Mri Images |
Abstract | ||
|---|---|---|
Cardiac computational models of electrical conduction, mechanical activation, hemodynamics and metabolism require detailed information about the structural arrangement of functionally heterogeneous cardiac cell types. However, current state-of-the-art models lack anatomically accurate cell type localization, which limits their utility. Histological sections combine unique resolution with discrimination of tissues and anatomical structures, but they suffer from alignment and deformation problems. On the other hand, MRI datasets preserve the correct geometry, but provide less micro structural detail. This paper presents a method for aligning MRI and histological datasets to obtain a highly detailed, geometrically correct anatomical description of the heart. An iterative process is used to correct the various 2D and 3D, rigid and non-rigid transforms, introduced in the histology preparation and acquisition. Validation is performed by calculating distances between anatomical landmarks in both datasets, and by quantifying tissue overlap. Results illustrate the suitability of the proposed algorithm to produce detailed, accurate cardiac models. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ISBI.2007.356916 | ISBI |
Keywords | Field | DocType |
biological tissues,biomedical MRI,cardiology,image registration,image resolution,iterative methods,medical image processing,physiological models,MRI images,cardiac histoanatomy,cardiac models,cell type localization,iterative method,registration | Computer vision,Pattern recognition,Iterative and incremental development,Iterative method,Computer science,Medical imaging,Computational model,Artificial intelligence,Anatomical structures,Image resolution,Image registration,Magnetic resonance imaging | Conference |
ISSN | Citations | PageRank |
1945-7928 | 1 | 0.39 |
References | Authors | |
3 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tahier Mansoori | 1 | 1 | 0.39 |
| G Plank | 2 | 201 | 33.05 |
| Rebecca Burton | 3 | 3 | 1.62 |
| Jürgen Schneider | 4 | 18 | 5.10 |
| Peter Kohl | 5 | 9 | 3.28 |
| David Gavaghan | 6 | 213 | 30.44 |
| Vicente Grau | 7 | 20 | 1.94 |