NDLI: Active appearance models for segmentation of cardiac MRI data

Content Provider	IEEE Xplore Digital Library
Author	Inamdar, R.S. Ramdasi, D.S.
Copyright Year	2013
Description	Author affiliation: Cummins Coll. of Eng., Pune, India (Inamdar, R.S.; Ramdasi, D.S.)
Abstract	We describe the method for segmentation of Left Ventricle (LV) in short axis cardiac MR Images in order to visibly identify the LV, and its outer wall. Segmentation of medical data is extremely time-consuming if done manually. Model based techniques represent one very promising approach. A model representing the object of interest is matched with unknown data. During the matching process the model's shape and additional properties are varied in order to iteratively improve the match. As soon as the model fits sufficiently well to the data, the properties of the model can be mapped to the data and so the segmentation is derived. The objective of this study is to show clearly the LV in particular so that any deviation from the standard dimensions in terms of shape, size or texture, can be unmistakably identified. The training set is prepared from the data obtained from a reputed hospitals and medical colleges in Pune, India. For segmentation of the Cardiac MRI, Principal Component Analysis (PCA) is used in the Active Appearance Model (AAM) building process. The AAM method shows high promise for successful application to MR image analysis in a clinical setting.
Sponsorship	IEEE Madras Sect.
Starting Page	96
Ending Page	100
File Size	520373
Page Count	5
File Format	PDF
ISBN	9781467348652
e-ISBN	9781467348669
DOI	10.1109/iccsp.2013.6577023
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Image segmentation Shape Magnetic resonance imaging Image edge detection Active Appearance Model (AAM) Principal Component Analysis (PCA) Left Ventricle (LV) Active appearance model Magnetic Resonance Imaging (MRI) Principal component analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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