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Segmentation of cardiac cine-MR images and myocardial deformation assessment using level set methods

✍ Scribed by Y. Chenoune; E. Deléchelle; E. Petit; T. Goissen; J. Garot; A. Rahmouni


Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
704 KB
Volume
29
Category
Article
ISSN
0895-6111

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✦ Synopsis


In this paper, we present an original method to assess the deformations of the left ventricular myocardium on cardiac cine-MRI. First, a segmentation process, based on a level set method is directly applied on a 2D + t dataset to detect endocardial contours. Second, the successive segmented contours are matched using a procedure of global alignment, followed by a morphing process based on a level set approach. Finally, local measurements of myocardial deformations are derived from the previously determined matched contours. The validation step is realized by comparing our results to the measurements achieved on the same patients by an expert using the semi-automated HARP reference method on tagged MR images.


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✍ Francesco Sardanelli; Matteo Quarenghi; Giovanni Di Leo; Leonardo Boccaccini; An 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 382 KB

## Abstract ## Purpose To test interactive semiautomated methods (ISAM) vs. manual contouring (MC) in segmenting cardiac cine MR images. ## Materials and Methods Short‐axis images of 10 consecutive patients (1.5–81.5 years of age) were evaluated by a trained radiologist (R1) and a low‐trained en