Name
Abstract | ||
|---|---|---|
Cardiac histo-anatomical structure is a key determinant in all aspects of cardiac function. While some characteristics of micro- and macrostructure can be quantified using non-invasive imaging methods, histology is still the modality that provides the best combination of resolution and identification of cellular/sub-cellular substrate identities. The main limitation of histology is that it does not provide inherently consistent three-dimensional (3D) volume representations. This paper presents methods developed within our group to reconstruct 3D histological datasets. It includes the use of high-resolution MRI and block-face images to provide supporting volumetric datasets to guide spatial reintegration of 2D histological section data, and presents recent developments in sample preparation, data acquisition, and image processing. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-33636-2_2 | CMSB |
Keywords | DocType | Citations |
three-dimensional histology,histological section data,data acquisition,image processing,cardiac histo-anatomical structure,histological datasets,cardiac function,high-resolution mri,block-face image,best combination,volumetric datasets | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthew Gibb | 1 | 5 | 1.28 |
| Rebecca Burton | 2 | 3 | 1.62 |
| Christian Bollensdorff | 3 | 0 | 0.68 |
| Carlos Afonso | 4 | 0 | 0.34 |
| Tahir Mansoori | 5 | 0 | 0.34 |
| Ulrich Schotten | 6 | 1 | 4.76 |
| David Gavaghan | 7 | 213 | 30.44 |
| Blanca Rodriguez | 8 | 88 | 16.85 |
| Jurgen E. Schneider | 9 | 3 | 0.82 |
| Peter Kohl | 10 | 9 | 3.28 |
| Vicente Grau | 11 | 15 | 6.78 |