NDLI: Increasing Visual Perception Brain Stroke Detection System

Content Provider	IEEE Xplore Digital Library
Author	Ming Sian Lee Chiun Li Chin Ya Wen Lee Chian Yun Lee Yan Ru Chen
Copyright Year	2012
Abstract	Stroke has been the third among the top ten leading causes of death in Taiwan. The danger is not only high mortality, but also gave the family a heavy economic. Recently, inspects the ischemic stroke the method to be divided into two categories: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). The former CT is the most regularly adoption because done once the time of the latter MRI is longer than the time of the former CT, and the latter MRI is the most expensive than the former CT. Due to academic studies of ischemic stroke detection is very finite, it is low successful rate to correctly detect stroke initial period. In tradition, we have to depend on radiologist¡¦s professional knowledge to diagnose ischemic stroke image, it will make radiologists increase fatigue so that made an error diagnostic. Therefore, we propose a Increasing visual perception brain stroke detection system. We use mathematic morphology to extract brain area. Then using median filter to remove noise, and uses canny edge detection to find out the edge of the brain tissue, and setting peak value in edge histogram as seed to perform region growing. Finally, we can clearly recognize the area of stroke. In the experimental result the recognition successful rate can reach 85%. Our successful rate cannot reach 100% because each patient¡¦s brain CT image is not certainly upright and foursquare. Future research direction, we will use other methods to correct gradient and CT image for each patient to improve successful rate of detection.
Starting Page	429
Ending Page	432
File Size	506421
Page Count	4
File Format	PDF
ISBN	9781467320337
DOI	10.1109/CMCSN.2012.105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematic Morphology Brain Magnetic Resonance Imaging Computed tomography Image edge detection Ichemic Stroke Noise Educational institutions Computed Tomography Region Growing Medical diagnostic imaging
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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