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Proceedings Paper

Assessment method for tumorous objects volume from brain MR images
Author(s): Olga A. Toropova; Alexey A. L'vov; Yuri V. Litovka; Adel Kh. Askarova
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Paper Abstract

The work is devoted to describe our automated technique of tumour and neoplasm volume assessment on brain MRI. First we proposed adaptive processing of dynamic local surroundings by estimating of local entropy. Secondly, the investigation of volume assessments directly is ground on the proposition to check extent of interdependency between adjacent slices. The overall approach uses double-criterion principle. The first one estimates cross correlation, the second one is based on Max-dependency principle. Obtained results prove consistency of the implemented approaches.

Paper Details

Date Published: 3 June 2019
PDF: 10 pages
Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670C (3 June 2019); doi: 10.1117/12.2523461
Show Author Affiliations
Olga A. Toropova, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Alexey A. L'vov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Yuri V. Litovka, Tambov State Technical Univ. (Russian Federation)
Adel Kh. Askarova, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)


Published in SPIE Proceedings Vol. 11067:
Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions
Dmitry Engelevich Postnov, Editor(s)

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