Paper
12 March 2010 Third brain ventricle deformation analysis using fractional differentiation and evolution strategy in brain cine-MRI
Amir Nakib, Fazia Aiboud, Jerome Hodel, Patrick Siarry, Philippe Decq
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Abstract
In this paper, we present an original method to evaluate the deformations in the third cerebral ventricle on a brain cine- MR imaging. First, a segmentation process, based on a fractional differentiation method, is directly applied on a 2D+t dataset to detect the contours of the region of interest (i.e. lamina terminalis). Then, the successive segmented contours are matched using a procedure of global alignment, followed by a morphing process, based on the Covariance Matrix Adaptation Evolution Strategy (CMAES). Finally, local measurements of deformations are derived from the previously determined matched contours. The validation step is realized by comparing our results with the measurements achieved on the same patients by an expert.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Amir Nakib, Fazia Aiboud, Jerome Hodel, Patrick Siarry, and Philippe Decq "Third brain ventricle deformation analysis using fractional differentiation and evolution strategy in brain cine-MRI", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76232I (12 March 2010); https://doi.org/10.1117/12.840620
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Cited by 6 scholarly publications.
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KEYWORDS
Image segmentation

Brain

Neuroimaging

Image fusion

Magnetic resonance imaging

Motion analysis

Algorithm development

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