Abstract
We propose a novel appearance based spatiotemporal constraint and
combine it with a level set based deformable model, which can be
used for Left Ventricle segmentation in 4D gated cardiac SPECT,
particularly in the presence of perfusion defects. Unlike current
shape based constraint works, ours incorporates texture in addition
to shape information into a probabilistic constraint, and utilizes
spatiotemporal regularization via a Maximum A Posteriori framework.
We present comparative results to illustrate the improvement gain.
| Original language | English |
|---|---|
| Title of host publication | MICCAI Workshop on Cardiovascular Intervetional Imaging and Biophysical Modelling |
| Publication status | Published - 2009 |
Bibliographical note
Other page information: 84-93Conference Proceedings/Title of Journal: MICCAI Workshop on Cardiovascular Intervetional Imaging and Biophysical Modelling
Other identifier: 2001036
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Ronghua, Y., Mirmehdi, M., Xianghua, X., & David, H. (2009). Appearance based Spatiotemporal Constraint for LV Segmentation in 4D Cardiac SPECT. In MICCAI Workshop on Cardiovascular Intervetional Imaging and Biophysical Modelling http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2001036