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Proceedings Paper

Quantification of the cerebrospinal fluid from a new whole body MRI sequence
Author(s): Alain Lebret; Eric Petit; Bruno Durning; Jérôme Hodel; Alain Rahmouni; Philippe Decq
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Paper Abstract

Our work aims to develop a biomechanical model of hydrocephalus both intended to perform clinical research and to assist the neurosurgeon in diagnosis decisions. Recently, we have defined a new MR imaging sequence based on SPACE (Sampling Perfection with Application optimized Contrast using different flip-angle Evolution). On these images, the cerebrospinal fluid (CSF) appears as a homogeneous hypersignal. Therefore such images are suitable for segmentation and for volume assessment of the CSF. In this paper we present a fully automatic 3D segmentation of such SPACE MRI sequences. We choose a topological approach considering that CSF can be modeled as a simply connected object (i.e. a filled sphere). First an initial object which must be strictly included in the CSF and homotopic to a filled sphere, is determined by using a moment-preserving thresholding. Then a priority function based on an Euclidean distance map is computed in order to control the thickening process that adds "simple points" to the initial thresholded object. A point is called simple if its addition or its suppression does not result in change of topology neither for the object, nor for the background. The method is validated by measuring fluid volume of brain phantoms and by comparing our volume assessments on clinical data to those derived from a segmentation controlled by expert physicians. Then we show that a distinction between pathological cases and healthy adult people can be achieved by a linear discriminant analysis on volumes of the ventricular and intracranial subarachnoid spaces.

Paper Details

Date Published: 23 February 2012
PDF: 7 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83153H (23 February 2012); doi: 10.1117/12.906964
Show Author Affiliations
Alain Lebret, Univ. Paris 12 - Val de Marne (France)
Eric Petit, Univ. Paris 12 - Val de Marne (France)
Bruno Durning, Univ. Paris 12 - Val de Marne (France)
Jérôme Hodel, Hôpital Henri Mondor (France)
Alain Rahmouni, Hôpital Henri Mondor (France)
Philippe Decq, Hôpital Henri Mondor (France)


Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)

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