Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Advanced Computational Method to Extract Heart Artery Region Subject The topic of the resource Artery; Coronary Angiogram; Frangi Filter; Motion Blur; Segmentation; Stenosis Description An account of the resource Coronary artery disease, also known as coronary heart disease, is the thinning or blockage of heart arteries, which is generally caused utilizing the build-up of fatty material called plaque. The coronary angiogram test is currently the most utilized method for identifying the stenosis status of arteries in the heart. The objective of the proposed hybrid segmentation method is to extract the artery region of the heart from angiogram imagery. Numerous angiogram video clips have been considered in the dataset in this research work. These video clips were acquired from a healthcare center with the due consent of patients and the concerned healthcare personnel. Most angiogram videos consist of unclear images, or the contents are generally not clear, and medical experts fail to acquire accurate information about the damages or blocks formed in arteries due to the same reason. A hybrid computational method to extract well-defined images of heart arteries using Frangi and motion blur features from angiogram imagery has been proposed to address this issue. Fifty patients' information has been used as the dataset for experimentation purposes in this research work. The enhanced Frangi filter is used on the dataset to obtain edge information to enhance the input image based on the Hessian matrix. Further, the motion blur helps in automatically tracking/tracing the pixel direction using the optical flow method. In this method, the complete structure of the artery is extracted. The results, when compared to the existing methods, have proven to be novel and more optimal. 2022 Seventh Sense Research Group. Creator An entity primarily responsible for making the resource Kavipriya K.; Hiremath M. Source A related resource from which the described resource is derived International Journal of Engineering Trends and Technology, Vol-70, No. 6, pp. 366-378. Publisher An entity responsible for making the resource available Seventh Sense Research Group Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14445/22315381/IJETT-V70I6P237" target="_blank" rel="noreferrer noopener">https://doi.org/10.14445/22315381/IJETT-V70I6P237</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134394346&amp;doi=10.14445%2F22315381%2FIJETT-V70I6P237&amp;partnerID=40&amp;md5=1a1a24f6a0021d0699bddbbec2cda327" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134394346&amp;doi=10.14445%2f22315381%2fIJETT-V70I6P237&amp;partnerID=40&amp;md5=1a1a24f6a0021d0699bddbbec2cda327</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23490918 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kavipriya K., Department of Computer Science, Christ Deemed to be University, Karnataka, Bangalore, India; Hiremath M., Department of Computer Science, Christ Deemed to be University, Karnataka, Bangalore, India