MRI left ventricle segmentation and reconstruction for the study of the heart dynamics

Author

Colantonio, Sara ; Moroni, Davide ; Salvetti, Ovidio

Author_Institution

Inst. of Inf. Sci. & Technol., Italian Nat. Res. Council, Pisa

fYear

2005

fDate

21-21 Dec. 2005

Firstpage

213

Lastpage

218

Abstract

A two-stage method for left ventricle (LV) segmentation in magnetic resonance imaging (MRI) is reported as the current results of an ongoing research carried on within a project devoted to the analysis and study of the cardiac dynamics. The first stage of the proposed method for LV segmentation is focused on the identification and localization of the left ventricle cavity, by means of fuzzy clustering and temporal regions tracking. The final segmentation is accomplished by a second processing stage, devoted to identify the left ventricle contours using an artificial neural network

Keywords

artificial intelligence; biomedical MRI; cardiology; image segmentation; medical image processing; neural nets; MRI left ventricle segmentation; artificial neural network; fuzzy clustering; heart dynamics; magnetic resonance imaging; temporal regions tracking; Artificial neural networks; Heart; Image analysis; Image reconstruction; Image segmentation; Information analysis; Magnetic analysis; Magnetic resonance imaging; Shape; Surface morphology;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2005. Proceedings of the Fifth IEEE International Symposium on

Conference_Location

Athens

Print_ISBN

0-7803-9313-9

Type

conf

DOI

10.1109/ISSPIT.2005.1577098

Filename

1577098