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Multi-atlas labeling with population-specific template and non-local patch-based label fusion
Research output: Contribution to conference › Paper › Research › peer-review
- Vladimir Fonov ,
- Pierrick Coupé ,
- Simon Fristed Eskildsen
- José V. Manjón ,
- D. Louis Collins
We propose a new method combining a population-specific nonlinear
template atlas approach with non-local patch-based structure segmentation
for whole brain segmentation into individual structures. This way, we benefit
from the efficient intensity-driven segmentation of the non-local means
framework and from the global shape constraints imposed by the nonlinear
template matching.
template atlas approach with non-local patch-based structure segmentation
for whole brain segmentation into individual structures. This way, we benefit
from the efficient intensity-driven segmentation of the non-local means
framework and from the global shape constraints imposed by the nonlinear
template matching.
| Original language | English |
|---|---|
| Publication year | 5 Oct 2012 |
| Number of pages | 4 |
| Publication status | Published - 5 Oct 2012 |
| Event | Medical Image Computing and Computer Assisted Intervention: 2012 - Nice, France Duration: 1 Oct 2012 → 5 Oct 2012 Conference number: 15 |
Conference
| Conference | Medical Image Computing and Computer Assisted Intervention |
|---|---|
| Number | 15 |
| Country | France |
| City | Nice |
| Period | 01/10/2012 → 05/10/2012 |
Bibliographical note
ISBN-10: 1479126187
ISBN-13: 978-1479126187
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