Assessment method for tumorous objects volume from brain MR images

Olga A. Toropova; Alexey A. L'vov; Yuri V. Litovka; Adel Kh. Askarova

doi:10.1117/12.2523461

3 June 2019 Assessment method for tumorous objects volume from brain MR images

Olga A. Toropova, Alexey A. L'vov, Yuri V. Litovka, Adel Kh. Askarova

Proceedings Volume 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 110670C (2019) https://doi.org/10.1117/12.2523461
Event: International Symposium on Optics and Biophotonics VI: Saratov Fall Meeting 2018, 2018, Saratov, Russian Federation

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.

Citation Download Citation

Olga A. Toropova, Alexey A. L'vov, Yuri V. Litovka, and Adel Kh. Askarova "Assessment method for tumorous objects volume from brain MR images", Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670C (3 June 2019); https://doi.org/10.1117/12.2523461

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