4D Morphological segmentation and the MICCAI LV-segmentation grand challenge

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3085
The goal of the Cardiac MR Left Ventricle Segmentation Challenge at MICCAI 2009 is to compare state-of-the-art LV segmentation methods. This goal is facilitated through an evaluation system and a database of cardiac cine MR images, as well as expert contours, now freely available on the internet for research purposes. This challenge is important because the analysis and the segmentation of 3D+t sequences of MR cardiac images is fastidious, time consuming and error-prone for human operators, due to the large amount of data. Conversely, automated segmentation of cardiac images is well-known to be a challenging task.
This paper describes the method that our group submitted for the challenge, based on 4D discrete mathematical morphology. This method leads to discrete segmentations, i.e, binary masks (bitmaps) of the left ventricular myocardiums that are both spatially and temporally consistent.
There is no code review at this time.

There is no review at this time. Be the first to review this publication!

Quick Comments

Download All
Download Paper , View Paper
Download Source code

Statistics more
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Code rating:
Paper Quality: plus minus

Information more
Categories: Mathematical Morphology, Region growing, Watersheds
Keywords: medical imaging, mathematical morphology, watershed, validation, heart segmentation, interactive procedure
Export citation:


Linked Publications more
Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy
by Vercauteren T., Pennec X., Perchant A., Ayache N.
Multilocal Creaseness Measure Multilocal Creaseness Measure
by Vera S., Gil D., López A., González M.A.

View license
Loading license...

Send a message to the author
Powered by Midas