Intravascular Ultrasound Image Recovery and Segmentation Based On Circular Analysis

被引：0

作者：

Wong-od, Anusorn ^{[1
]}

Rodtook, Annupan ^{[2
]}

Rasmequan, Suwanna ^{[1
]}

Chinnasarn, Krisana ^{[1
]}

机构：

[1] Burapha Univ, Fac Informat, Chon Buri, Thailand

[2] Ramkhamhang Univ, Fac Sci, Dept Comp Sci, Bangkok, Thailand

来源：

2017 9TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING (ICITEE) | 2017年

关键词：

IVUS Image; Contrast Strestching; Adaptive Clustering; Circular Analysis; LevelSet; Diffusion;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work presents a novel approach to recover incomplete intravascular ultrasound image before segmenting the lumen and media-adventitia boundaries. The proposed algorithm used circular analysis to estimate lumen and media-adventitia boundaries and then applied diffusion technique to recover corrupted pixel within the detected area. The proposed method was tested with the standard dataset provided by the computer vision center, Universitat de Barcelona, Barcelona, ESP. The experimental result demonstrates that the proposed method provided an average improvement rate of 11% compared to others method on Jaccard index, 9% on Hausdorff distance, 12% on Percentage Area Distance, 6.2% on Area Overlap Error.

引用

页数：6

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