Dublin Core
Title
DETERMINATION OF FIBROSIS SCORE IN THE VENTRICULAR ARTER BY USING IMAGE PROCESSING TECHNIQUES ON HISTOPATHOLOGICAL IMAGES
Abstract
Histopathological image analysis is an important area for pathological image analysis and diagnosis in medicine. Among cancer patients, radiotherapy is widely used for treatment modality. The aim of the radiotherapy is giving maximum dose to tumor tissue as well as maintaining normal tissue unaffected as possible. The increase of the radiation dose is parallel with local tumor control. However, risk of complication of normal tissue is also increased. Thus, controlling of the tumor depends on the normal tissue tolerant. In this study, we aim to support radiologists to detect and control radiation dose and its effects for the radiotherapy. Determining of the ventricular artery thickness by using image processing techniques can give information about radiation effects and dose. Using by image processing techniques, adventitia layer which of cardiac vessel layer thickness is measured. For this measurement, whole cardiac histopathological RGB image is cropped and studies are applied on this image. Then RGB image is converted to grayscale image and after converted the binary image. Adventitia layer is detected with edge detecting method. After segmentation of the adventitia layer, this layer thickness is measured to show effects of the radiation dose. Thus, with this study an optimal radiation dose can be adjusted according to the increase of the adventitia thickness. Keywords: Histopathological images; cardiac tissue; radiotheraphy; fibrosis
Keywords
Article
PeerReviewed
PeerReviewed
Identifier
ISSN 978-9958-834-36-3
Publisher
International Burch University
Date
2014-05-15
Extent
2504