Filtering and Detection of Intima-media Thickness (IMT) for the risk of Carotid Artery Atherosclerosis
Ranu Gupta, Electronics and Communication Department, Jaypee University of Engineering and Technology, Raghogarh, Guna, M.P., India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 4900-4903 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4967129219/2019©BEIESP | DOI: 10.35940/ijeat.B4967.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Ultrasound images of carotid artery in brightness mode (B-mode) are used to detect the probabilities of atherosclerosis and cardiovascular diseases. They are used to measure the intima-media thickness (IMT). Ultrasound images suffer from peculiar phenomena which creates speckle (a type of noise) on the image. The speckles present in the medical images detoriates the quality of the image. This paper presents a work which is used to remove the speckles by utilizing the local characteristics of the image in the filter named as local statistics mean variance (lsmv) filter. It is a preprocessing step of medical image processing. Conventional IMT was done by locating the far walls of the carotid artery. This can be changed by applying segmentation algorithm which could automatically detect the far walls and could measure the IMT. This paper approaches towards automatic edge detection method using Prewitt operator. The objective behind automatically calculating IMT of carotid artery is to reduce the human effort and at the same time would benefit the patient by diagnosing the patient condition. The work that is proposed is analyzed by calculating various parameters in case of despeckling (filtering) as well as segmentation method. The performance parameters show that the proposed method performs better and at the same time reduces the manual effort.
Keywords: Carotid artery, intima-media thickness, lsmv filter, medical image, segmentation