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  • 标题:Application of Pre-processing and Segmentation Methods on Cardiac MR Images
  • 本地全文:下载
  • 作者:G. N. Beena Bethel ; T. V. Rajinikanth ; S. Viswanatha Raju
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2017
  • 卷号:8
  • 期号:3
  • 页码:210-217
  • 出版社:Engg Journals Publications
  • 摘要:Cardiac MRI (Magnetic Resonance Imaging), is a non-invasive technique in the field of medical imagingtechnology for assessing the heart function and also to diagnose and analyse the morphological features of thecardiovascular system of a human heart. It gives a clear picture of heart’s chambers and valves, without thepatient having to undergo cardiac catheterization for most cases. Analysing the functionality of heart anddiagnosing its varieties of ailments at the right time without causing any punctures is a challenge in today’smedical community. Locating the exact region of ailment or interest, especially in a sensitive organ such asheart is quite cumbersome even with the help of imaging techniques. Application of Image pre-processingtechniques to reduce noise in the heart MRI images apart from enhancement of the MRI images and furtherfollowed by segmentation methods in order to locate the problem area in the heart will be a boon to theCardiologist / Cardio Surgeon to carry out better diagnosis. The objective of this paper is to find a betterfiltering technique and a segmentation method which would help fast and accurate tracing of the portion of theheart ailment in a better manner with more clarity.
  • 关键词:Heart images; Cardiac Magnetic Resonance Imaging; segmentation methods; noise filtering;threshold; watershed.
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