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--- abstract: |- Medical Image analysis and processing has great significance in the field of medicine, especially in Non- invasive treatment and clinical study. Medical imaging techniques and analysis tools enable the Doctors and Radiologists to arrive at a specific diagnosis. Medical Image Processing has emerged as one of the most important tools to identify as well as diagnose various disorders. Imaging helps the Doctors to visualize and analyze the image for understanding of abnormalities in internal structures. The medical images data obtained from Bio-medical Devices which use imaging techniques like Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Mammogram, which indicates the presence or absence of the lesion along with the patient history, is an important factor in the diagnosis. The algorithm proposes the use of Digital Image processing tools for the identification of Hemorrhage and Infarct in the human brain, by using a semi-automatic seeded region growing algorithm for the processing of the clinical images. The algorithm has been extended to the Real-Time Data of CT brain images and uses an intensity-based growing technique to identify the infarct and hemorrhage affected area, of the brain. The objective of this paper is to propose a seeded region growing algorithm to assist the Radiologists in identifying the Hemorrhage and Infarct in the human brain and to arrive at a decision faster and accurate.�Lp�L altloc: [] chapter: ~ commentary: ~ commref: ~ confdates: ~ conference: ~ confloc: ~ contact_email: ~ creators_id: [] creators_name: - family: T given: Kesavamurthy honourific: '' lineage: '' - family: S given: SubhaRan honourific: '' lineage: '' date: 2006 date_type: published datestamp: 2006-09-01 department: ~ dir: disk0/00/00/50/89 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 5089 fileinfo: /style/images/fileicons/application_pdf.png;/5089/1/e1.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: |- Biomedical image processing, Hemorrhage, Infarct, CT, MRI, Mammogram and lesion lastmod: 2011-03-11 08:56:34 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: 3 pagerange: ~ pubdom: TRUE publication: Calicut Medical Journal publisher: Calicut Medical College Alumni Association refereed: TRUE referencetext: |- [1] Andy Tsai, Anthony Yezzi, Jr., William Wells, Allan Wilsky, A Shape based approach to the Segmentation of Medical Imagery using Level Sets, IEEE Transactions on Medical Imaging., vol. 22, pp. 137-154, February 2003. [2] Rishi Rakesh, Probal Chaudhuri, C.A.Murthy, Thresholding in Edge Detection: A Statistical Approach, IEEE Transactions on Image Processing, vol.13, pp. 927-936, July 2004. [3] Cheng-Hung, Wen-Nung Lie, A Downstream Algorithm based on Extended Gradient Vector flow field for Object Segmentation, IEEE Transactions on Image Processing, vol. 13, pp. 1379-1392, October 2004. [4] Rafael. C. Gonzalez, Richard. E. Woods, Digital Image Processing, Addison Wesley, Massachusetts, 1999. [5] P.Reimer, Paul M. Parizel, Clinical CT Imaging: A Practical Approach, Springer, New York, 2004. [6] Paul Suetens, Fundamentals of Medical Imaging, Cambridge University Press, London, 2002. [7] Lippincott Raven, William E. Erkonen, Wilbur, Radiology: the Basics and Fundamentals of Imaging, Lippincott Williams & Wilkins, New York, 1998. [8] Division of Physiological Imaging, Department of Radiology, University of IOWA College of medicine: dpi.radiology .uiowa.edu / vida /image/ [9] Math works worldwide, Matlab Home, Image Processing Toolbox, Image Processing, analysis and algorithm development: http://www.mathworks.com/products/image [10] DICOM Standard, An Introduction to DICOM: http://www.psychology.nottingham.ac.uk/staff/cr1/dicom.htm [11] Digital Image Processing Lab, Division of Basic Radiological Sciences, Department of Radiology, University of Michigan Health System: http://www.dipl.rad.med.umich.edu/ relation_type: [] relation_uri: [] reportno: ~ rev_number: 12 series: ~ source: ~ status_changed: 2007-09-12 17:06:53 subjects: - calcut succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: |- Research Pattern Classification using imaging techniques for Infarct and Hemorrhage Identification in the Human Brain type: journale userid: 4187 volume: 4