NDLI: Automatic cardiac MRI localization method

Content Provider	IEEE Xplore Digital Library
Author	Mousa, Doaa Zayed, Nourhan Yassine, Inas A.
Copyright Year	2014
Description	Author affiliation: Computers and Systems, Electronic Research Institute, Giza, Egypt (Mousa, Doaa; Zayed, Nourhan) \|\| Systems and Biomedical Engineering, Cairo University, Giza, Egypt (Yassine, Inas A.)
Abstract	Cardiovascular diseases remain the biggest cause of death worldwide. Early detection is the most important step to solve this problem. Cardiac Magnetic Resonance Imaging (CMR) has shown its capability of imaging the heart and evaluation of cardiac function without exposure to ionizing radiation. In this paper, we aim to perform automatic heart localization in MRI short axis view using a simple and effective way. The proposed algorithm can be described through the following two steps: (a) preprocessing step to denoise the images using Gaussian filter, and (b) localization step based on shape recognition technique. The algorithm, implemented using MATLAB, was developed and tested using two datasets. First one consists of 33 subjects normal and abnormal for a total of 7980 2D images and the second one consists of 50 2D images related to normal subject. The results here are evaluated through the classification into three types: totally localized case (complete heart falls inside the selected ROI window), partially localized case (small part, less than 10%, of LV or RV falls outside the selected ROI window), and not localized case (more than 10% of the hearts falls outside the selected ROI window). It gives result with 91.4% accuracy for totally localized case, 8.1% for partially localized case, and 0.5% for not localized case.
Starting Page	153
Ending Page	157
File Size	831643
Page Count	5
File Format	PDF
ISBN	9781479944132
ISSN	21566100
e-ISBN	9781479944125
DOI	10.1109/CIBEC.2014.7020942
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-11
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Image segmentation Filtration Shape Magnetic resonance imaging Noise Cardiovascular diseases (CVDs) Educational institutions Cardiac Magnetic Resonance Imaging (CMR) Hough transform region of interest (ROI) heart localization
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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