Brain tissues volume measurements from 2D MRI using parametric approach

A. A. L'vov; O. A. Toropova; Yu. V. Litovka

doi:10.1117/12.2315104

26 April 2018 Brain tissues volume measurements from 2D MRI using parametric approach

A. A. L'vov, O. A. Toropova, Yu. V. Litovka

Proceedings Volume 10717, Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV; 107171U (2018) https://doi.org/10.1117/12.2315104
Event: Saratov Fall Meeting 2017, 2017, Saratov, Russian Federation

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.

Citation Download Citation

A. A. L'vov, O. A. Toropova, and Yu. V. Litovka "Brain tissues volume measurements from 2D MRI using parametric approach", 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); https://doi.org/10.1117/12.2315104

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