Abstract
The use of long-axis images in cardiac MRI segmentation is essential in order to
locate the valves and delineate the ventricles’ volume accurately. However, depending
on the imaging protocol used, long-axis images do not always provide enough support
for straightforward segmentation. We show that it is possible to use both short-axis and
long-axis images for segmentation, even in cases where the long-axis images do not cover
the entire heart volume and have various orientations and spacings, and different gains
and contrasts. We propose a method to achieve this goal, based on the simultaneous
interpolation and segmentation of the data in a level set framework. Results on both
synthetic and real images are presented.
| Translated title of the contribution | Simultaneous level set interpolation and segmentation of short- and long-axis MRI |
|---|---|
| Original language | English |
| Title of host publication | Proceedings of Medical Image Understanding and Analysis (MIUA) 2010 |
| Publisher | BMVA Press |
| Publication status | Published - 2010 |
Bibliographical note
Other page information: 267-272Conference Proceedings/Title of Journal: Proceedings of Medical Image Understanding and Analysis (MIUA) 2010
Other identifier: 2001188