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Proceedings Paper

Brain tissues volume measurements from 2D MRI using parametric approach
Author(s): A. A. L'vov; O. A. Toropova; Yu. V. Litovka
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Paper Abstract

The purpose of the paper is to propose a fully automated method of volume assessment of structures within human brain. Our statistical approach uses maximum interdependency principle for decision making process of measurements consistency and unequal observations. Detecting outliers performed using maximum normalized residual test. We propose a statistical model which utilizes knowledge of tissues distribution in human brain and applies partial data restoration for precision improvement. The approach proposes completed computationally efficient and independent from segmentation algorithm used in the application.

Paper Details

Date Published: 26 April 2018
PDF: 7 pages
Proc. SPIE 10717, Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV, 107171U (26 April 2018); doi: 10.1117/12.2315104
Show Author Affiliations
A. A. L'vov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
O. A. Toropova, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Yu. V. Litovka, Tambov State Technical Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10717:
Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV
Vladimir L. Derbov; Dmitry Engelevich Postnov, Editor(s)

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