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Volumetric Estimation of the Damaged Area in the Human Brain from 2D MR Image

P Naga Srinivasu, T Srinivasa Rao, Valentina Emilia Balas

Source Title: International Journal of Information System Modeling and Design (IJISMD)11(1)

ISSN: 1947-8186|EISSN: 1947-8194|EISBN13: 9781799806851|DOI: 10.4018/IJISMD.2020010105

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MLA

Srinivasu, P Naga, et al. "Volumetric Estimation of the Damaged Area in the Human Brain from 2D MR Image." IJISMD vol.11, no.1 2020: pp.74-92. http://doi.org/10.4018/IJISMD.2020010105

APA

Srinivasu, P. N., Rao, T. S., & Balas, V. E. (2020). Volumetric Estimation of the Damaged Area in the Human Brain from 2D MR Image. International Journal of Information System Modeling and Design (IJISMD), 11(1), 74-92. http://doi.org/10.4018/IJISMD.2020010105

Chicago

Srinivasu, P Naga, T Srinivasa Rao, and Valentina Emilia Balas. "Volumetric Estimation of the Damaged Area in the Human Brain from 2D MR Image," International Journal of Information System Modeling and Design (IJISMD) 11, no.1: 74-92. http://doi.org/10.4018/IJISMD.2020010105

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Abstract

In this article, we present a volumetric estimate of the mutilated part in the human brain from a typical 2D MR image that is directly rendered from the scanner, which is first of its kind in the field of medical imaging. The proposed concept necessitates segmentation of the MR image for the identification of dimensions in the damaged region. Once the dimensions are identified from the resultant segmented image, the volume of the damaged region is evaluated through the Gauss Derivation theorem. The pixel to the distance scaling, which is fed as an input for the Gauss Derivation is from an earlier medical diagnosis from another researcher. The proposed algorithm was experimented with real-time images and the obtained results were examined against the real-time scenarios and were observed to exhibit better accuracy.

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Volumetric Estimation of the Damaged Area in the Human Brain from 2D MR Image

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