NDLI: Segmentation of the lumen and media-adventitial borders in intravascular ultrasound images using a geometric deformable model

Content Provider	IET Digital Library
Author	Lee, Ju Hwan Hwang, Yoo Na Kim, Ga Young Min, Kim Sung
Abstract	This study presents a geometric deformable model-based segmentation approach to segmentation of the intima and media-adventitial (MA) borders in sequential intravascular ultrasound (IVUS) images. The initial estimation of the vessel borders was done manually only for the first frame of each sequence. After the border initialisation, pre-processing including edge preservation, noise reduction, and dead zone preservation was successively performed on each IVUS frame. To improve segmentation performance, the image masks were determined preliminarily by local binary pattern-based mask initialisation. Then, the inner and outer borders were approximated using a modified distance regularised level set evolution model. The results showed superior performance of the suggested approach for estimating intima and MA layers from the IVUS images. The corresponding correlation coefficients of area, vessel perimeter, maximum vessel diameter, and maximum lumen diameter were r = 0.782, r = 0.716, r = 0.956, and r = 0.874 for the 20 MHz images, respectively, and r = 0.990, r = 0.995, r = 0.989, and r = 0.996 for the 45 MHz images, respectively. In addition, linear regression analysis indicated that the manual segmentation had significantly high similarity at r > 0.967 and r > 0.993 for 20 and 45 MHz images, respectively.
Starting Page	1881
Ending Page	1891
Page Count	11
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 10, Oct (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1143
Journal	IET Image Processing
Publisher Date	2018-05-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Biology And Medical Computing Biomedical Ultrasonics Border Initialisation Catheters Combinatorial Mathematics Computer Vision And Image Processing Technique Correlation Coefficient Dead Zone Preservation Edge Preservation Evolutionary Computation Frequency 20 MHz Frequency 45 MHz Geometric Deformable Model Graph Theory Human Coronary Arteries Image Denoising Image Segmentation Intima Segmentation Intravascular Ultrasound Image Linear Regression Analysis Local Binary Pattern-based Mask Initialisation Lumen Segmentation Maximum Lumen Diameter Maximum Vessel Diameter Media-adventitial Borders Medical Image Processing Modified Distance Regularised Level Set Evolution Model Noise Reduction Optimisation Technique Patient Diagnostic Method And Instrumentation Sequential Intravascular Ultrasound Image Sequential IVUS Image Frames Set Theory Sonic And Ultrasonic Application Sonic And Ultrasonic Radiation Vessel Border Estimation Vessel Perimeter
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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