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Automatic recovery of the left ventricular blood pool in cardiac cine MR images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5241 LNCS(PART 1) 110-118
DOI: 10.1007/978-3-540-85988-8_14
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Abstract

We present a method for automatic localization and rough segmentation of the left ventricle blood pool in cardiac cine magnetic resonance images. The method first detects the whole heart using time-based Fourier analysis. It then segments the left ventricle blood pool by grouping connected components across slices using isoperimetric clustering. The system was tested on 253 datasets and failed in only 2 cases. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Jolly, M. P. (2008). Automatic recovery of the left ventricular blood pool in cardiac cine MR images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5241 LNCS, pp. 110–118). https://doi.org/10.1007/978-3-540-85988-8_14

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