Hippocampal Segmentation using Mean Shift Algorithm

被引：1

作者：

Lopez Palafox, Guadalupe Desiree ^{[1
]}

Sosa Ortiz, Ana Luisa ^{[2
]}

Marrufo Melendez, Oscar ^{[3
]}

Morales Ballesteros, Orlando ^{[3
]}

Perez Gonzalez, Jorge Luis ^{[1
]}

Jimenez Alaniz, Juan Ramon ^{[1
]}

机构：

[1] Univ Autonoma Metropolitana Iztapalapa, Elect Engn Dept, Neuroimaging Lab, Mexico City, DF, Mexico

[2] Natl Inst Neurol & Neurosurg, Dementia Lab, Mexico City, DF, Mexico

[3] Natl Inst Neurol & Neurosurg, Neuroimage Dept, Mexico City, DF, Mexico

来源：

12TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS | 2017年 / 10160卷

关键词：

Hippocampus; Image segmentation; Mean Shift; Support Vector Machine;

D O I：

10.1117/12.2256810

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The population is aging as the years pass. There is an increase in life expectancy, but also a decrease in the quality of life for the presence of chronic degenerative diseases. Processing medical images can identify brain changes typical of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) at an early stage. We propose a new method of segmentation technique using Mean Shift algorithm applying probabilistic maps and Support Vector Machine with Linear and Radial Basis Kernel for segmentation of the hippocampus on Magnetic Resonance Images (MRI). The similarity index of DICE for a 8 control subject was calculated obtaining a mean value of 0.7053 +/- 0.0996 using Linear kernel and 0.7275 +/- 0.1335 using RBF kernel compared with the manual segmentation made by radiologist.

引用

页数：7

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