Earticle

초록

영어

The color Doppler echocardiography allows the clinician and researchers to indentify the blood flow patterns, direction, and velocity in case any dis-functioning like valvular and regurgitation stenosis. Jet area is the most used method by the clinicians for MR severity because it is directly propositional to severity of MR. Methods A method is developed for automatic segmentation of jet area and finding the jet area value in numerical terms. Intensity based region growing has been used for segmentation. Before this some preprocessing steps have been applied to make the image suitable for intensity based region growing. Total nine images have been examined taken from the different patients suffering from mitral regurgitation. Results Proposed method finds the two cases are under the moderate MR category and other seven detected as the case of severe MR. in case of clinical point of view three cases are to be found under the moderate and six under the category of sever MR. Conclusions This work is expected to enhance the clinician’s capability in fast determining the extent of severity of mitral regurgitation. The algorithm developed is capable of removing the spurious areas during the process of segmentation.

목차

Abstract
 1. Introduction
 2. Jet Area Segmentation Using Intensity Based Region Growing (JASRG)
  2.1 Pre-Processing Stage
  2.2 Jet area Segmentation
  2.4 Contour Detection of the Segmented Area
 3. Algorithm Summarization
 4. Results
 5. Conclusions and Discussions
 Funding Information
 Declaration of Interest
 References

키워드

저자

• M. L. Dewal [ Dept of Electrical Engineering, Indian institute of Technology Roorkee, Uttarakhand, India, 247667 ]
• Kalpana Saini [ Dept of Electrical Engineering, Indian institute of Technology Roorkee, Uttarakhand, India, 247667 ] Corresponding Author
• Manojkumar Rohit [ Department of Cardiology, Advanced Cardiac Centre, Post Graduate Institute of Medical Education & Research, Chandigarh, India, 160012 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605