LV Contour Extraction from Cardiac MR Images Using Random Walks Approach

Author

Dakua, S.P. ; Sahambi, J.S.

Author_Institution

Dept. of Electron. & Commun. Engg, Indian Inst. of Technol., Guwahati

fYear

2009

fDate

6-7 March 2009

Firstpage

228

Lastpage

233

Abstract

Heart failures are of increasing importance due to increasing life expectation. For clinical diagnosis parameters for the condition of hearts are needed and can be derived automatically by image processing. Accurate and fast image segmentation algorithms are of paramount importance for a wide range of medical imaging applications. In this paper, we present a method using heat equation with variable threshold technique towards seeds selection in random walk based image segmentation.

Keywords

biomedical MRI; cardiology; edge detection; image segmentation; medical image processing; random processes; cardiac MR image; clinical diagnosis parameter; heart failure; heat equation; image processing; image segmentation algorithm; left ventricle contour extraction; medical imaging application; random walks approach; seed selection; variable threshold technique; Active contours; Biomedical imaging; Heart; Image edge detection; Image resolution; Image segmentation; Laplace equations; Level set; Magnetic resonance imaging; Narrowband; Laplace equation; adaptive threshold; cardiac magnetic resonance image; noise variance; random walker;

fLanguage

English

Publisher

ieee

Conference_Titel

Advance Computing Conference, 2009. IACC 2009. IEEE International

Conference_Location

Patiala

Print_ISBN

978-1-4244-2927-1

Electronic_ISBN

978-1-4244-2928-8

Type

conf

DOI

10.1109/IADCC.2009.4809012

Filename

4809012