Diagnostically lossless coding of X-ray angiography images based on background suppression
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- 作者：Zhongwei Xu ; a ; zhongwei@deic.uab.cat" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Joan Bartrina-Rapestaa ; joan.bartrina@uab.cat" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Ian Blanesa ; ian.blanes@uab.cat" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Victor Sanchezb ; vsanchez@dcs.warwick.ac.uk" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Joan Serra-Sagristà ; a ; joan.serra@uab.cat" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Marcel Garcí ; a-Bachc ; mgarciabach@mutuaterrassa.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Juan Francisco Muñ ; ozc ; jmunoz@mutuaterrassa.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：X-ray angiography images ; Diagnostically lossless coding ; Ray casting segmentation ; Alpha-shapes filters ; Region of interest compression
- 刊名：Computers & Electrical Engineering
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：53
- 期：Complete
- 页码：319-332
- 全文大小：2264 K
文摘
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An automatic segmentation of the diagnostically relevant focal area of X-ray angiography images was developed.
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A background suppression coding strategy was proposed based on the accurate segmentation results.
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Our segmentation method identifies the Regions of Interest with an average Dice Similarity Coefficient of 0.98 with respect to manual segmentation.
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The coding performance improvement reaches 34%, compared to the case of coding with no background suppression.