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Statistical Analysis of Normal and Abnormal Dissymmetry in Volumetric Medical Images
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In: ISSN: 1361-8415 ; EISSN: 1361-8423 ; Medical Image Analysis ; https://hal.inria.fr/inria-00615102 ; Medical Image Analysis, Elsevier, 2000, 4 (2), pp.111--121 (2000)
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Abstract:
Version électronique : http://www.inria.fr/rrrt/RR-3178.html ; International audience ; We present a general method to study the dissymmetry of anatomical structures such as those found in the human brain. Our method relies on the estimate of 3D dissymmetry fields, the use of 3D vector field operators, and T2 statistics to compute significance maps. We also present a fully automated implementation of this method which relies mainly on the intensive use of a 3D non-rigid inter-patient matching tool. Such a tool is applied successively between the images and their symmetric versions with respect to an arbitrary plane, both to realign the images with respect to the mid-plane of the subject and to compute a dense 3D dissymmetry map. Inter-patient matching is also used to fuse the data of a population of subjects. We then describe three main application fields: the study of the normal dissymmetry within a given population, the comparison of the dissymmetry between two populations, and the detection of the significant abnormal dissymmetries of a patient with respect to a reference population. Finally, we present preliminary results illustrating these three applications for the case of the human brain.
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Keyword:
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging; [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; anatomy & histology; Aphasia; Brain; Computer Simulation; Epilepsies Partial; Human; Image Processing Computer-Assisted; Imaging Three-Dimensional; Laterality; Magnetic Resonance Imaging; Male; pathology
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URL: https://hal.inria.fr/inria-00615102
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