Clinical Application of Extraction and Analysis of the Key Frames Based on IVUS Sequences_Journal of Biomedical Engineering

Authors：

MAOHaiqun ¹ ,  YANGFeng ¹ , HUANGZheng ² , CUIKai ² , WANGXinxin ¹

1. College of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China;
2. Department of Cardiology, Southern Medical University, Nanfang Hospital, Guangzhou 510515, China;

Corresponding author：

YANGFeng, Email: yangf@smu.edu.cn

Keywords：

intravascular ultrasound imaging; gating; key frames; vascular parameter

DOI：

10.7507/1001-5515.20150159

Video：

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In this paper, we propose an image-based key frame gating method to reduce motion artifacts in intravascular ultrasound (IVUS) longitudinal cuts. The artifacts are mainly caused by the periodic relative displacement between blood vessels and the IVUS catheter due to cardiac motion. The method is achieved in four steps as following. Firstly, we convert IVUS image sequences to polar coordinates to cut down the amount of calculation. Secondly, we extracted a one-dimensional signal cluster reflecting cardiac motion by spectral analysis and filtering techniques. Thirdly, we designed a Butterworth band-pass filter for filtering the one-dimensional signal clusters. Fourthly, we retrieved the extremes of the filtered signal clusters to seek key frames to compose key-frames gated sequences. Experimental results showed that our algorithm was fast and the average frame processing time was 17ms. Observing the longitudinal viewpictures, we found that comparing to the original ones, the gated sequences had similar trend, less saw tooth shape, and good continuity. We selected 12 groups of clinical IVUS sequences[images (876±65 frames), coronary segments length (14.61±1.08 mm)] to calculate vessel volume, lumen volume, mean plaque burden of the original and gated sequences. Statistical results showed that, on one hand, both vessel volume and lumen volume measured of the gated sequences were significantly smaller than those of the original ones, and there was no significant difference on mean plaque burden between original and gated sequences, which met the need of the clinical diagnosis and treatment. On the other hand, variances of vessel area and lumen area of the gated sequences were significantly smaller than those of the original sequences, indicating that the gated sequences would be more stable than the original ones.

Citation： MAOHaiqun, YANGFeng, HUANGZheng, CUIKai, WANGXinxin. Clinical Application of Extraction and Analysis of the Key Frames Based on IVUS Sequences. Journal of Biomedical Engineering, 2015, 32(4): 892-899. doi: 10.7507/1001-5515.20150159 Copy

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1. 舍恩豪吉(美)著;刘茜倩等译.轻松掌握血管内超声[M].北京:人民军医出版社,2009:1-95.
2. CIOMPI F,GATTA C,PUJOL O,et al.Reconstruction and analysis of intravascular ultrasound sequences[J].New Advances in Biomedical Signal Processing,2010,223(242):231-250.
3. BRUINING N,BIRGELEN C V,DE FEYTER P J,et al.ECG-gated versus nongated three-dimensional intracoronary ultrasound analysis:implications for volumetric measurements[J].Catheterization and Cardiovascular,1998,43(3):254-260.
4. DE WINERW S A,HAMERS R,DEGERTEKIN M,et al.Retrospective image-based gating of intracoronary ultrasound images for improved quantitative analysis:the intelligate method,catheterization and cardiovasc[J].Catheterization and Cardiovascular Intervention,2004,61(1):84-94.
5. ZHU Hui,OAKESON K D,FRIEDMAN M H.Retrieval of cardiac phase from IVUS sequences[C]//Medical Imaging 2003:Ultrasonic Imaging and Signal Processing.2003,5035:135-146.
6. NADKARNI S,BOUGHNER D,FENSTER A.Image-based cardiac gating for three-dimensional intravascular ultrasound imaging[J].Ultrasound in Med Biol,2005,30(1):53-63.
7. GATTA C,BALOCCO S,CIOMPI F,et al.Real-time gating of IVUS sequences based on motion blur analysis:method and quantitative validation[M]//Medical Image Computing and Computer-Assisted Intervention-MICCAI 2010.Springer Berlin Heidelberg:2010:59-67.
8. O'MALLEY S M,NAGHAVI M,KAKADIARIS A.Image-based frame gating for contrast-enhanced IVUS sequences[C]//Proceedings of International Workshop on Computer Vision for Intravascular and Intracardiac Imaging (CVⅡ).2006:14-21.
9. O'MALLEY S M,Granada J F,CARLIER S,et al.Image-based gating of intravascular ultrasound pullback sequences[J].IEEE Transaction on Information Technology in Biomedicine,200812(3):299-306.
10. 孙正.抑制冠状动脉内超声图像序列运动伪影的离线门控方法[J].光电子·激光,2010,21(4):632-638.
11. HERNÀNDEZ-SABATÉ A,GIL D,GARCIA-BARN? S J,et al.Image-based cardiac phase retrieval in intravascular ultrasound sequences[J].IEEE Transactions on Ultrasonics,Ferroelectrics,and Frequency Control,2011,58(1):60-72.
12. 左明雪.人体解剖生理学[M].第2版.北京:高等教育出版社,2009:171-179.
13. 王燕.一阶导数的五点数值微分公式及外推算法[J].数学的实践与认识,2011,41(6):163-167.
14. ROSALES M,RADEVA P,RODRIGUEZ-LEOR O,et al.Modelling of image-catheter motion for 3-D IVUS[J].Medical Image Analysis,2009,13(1):91-104.
15. 王万国,王仕荣,徐正飞等.基于边界的最小二乘椭圆拟合改进算法[J].计算机技术与发展,2013,23(4):67-70.
16. SUN Z.Three-dimensional reconstruction of vessels from intravascular ultrasound sequence and X-ray angiograms[C]//2nd International Conference on Biomedical Engineering and Informatics,BMEI'09.Tianjin:2009:1-5.

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Clinical Application of Extraction and Analysis of the Key Frames Based on IVUS Sequences

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