NDLI: Fast segmentation of ultrasound images by incorporating spatial information into Rayleigh mixture model

Content Provider	IET Digital Library
Author	Bi, Hui Tang, Hui Yang, Guanyu Li, Baosheng Shu, Huazhong Dillenseger, Jean Louis
Abstract	As a particular case of the finite mixture model, Rayleigh mixture model (RMM) is considered as a useful tool for medical ultrasound (US) image segmentation. However, conventional RMM relies on intensity distribution only and does not take any spatial information into account that leads to misclassification on boundaries and inhomogeneous regions. The authors proposed an improved RMM with neighbour (RMMN) information to solve this problem by introducing neighbourhood information through a mean template. The incorporation of the spatial information made RMMN more robust to noise on the boundaries. The size of the window which incorporates neighbour information was resized adaptively according to the local gradient distribution. They evaluated their model on experiments on synthetic data and real US images used by high-intensity focused ultrasound therapy. On this data, they demonstrated that the proposed model outperforms several state-of-the-art methods in terms of both segmentation accuracy and computation time.
Starting Page	1188
Ending Page	1196
Page Count	9
ISSN	17519659
Volume Number	11
e-ISSN	17519667
Issue Number	Issue 12, Dec (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/11/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0166
Journal	IET Image Processing
Publisher Date	2017-06-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biomedical Ultrasonics Computation Time Computer Vision And Image Processing Technique Fast Segmentation Finite Mixture Model High-intensity Focused Ultrasound Therapy Image Segmentation Improved RMM-neighbour Information Improved RMMN Information Inhomogeneous Region Intensity Distribution Local Gradient Distribution Mean Template Medical Image Processing Medical Ultrasound Image Segmentation Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Rayleigh Mixture Model Segmentation Accuracy Sonic And Ultrasonic Radiation Spatial Information Spatial Information Incorporation Ultrasonic Imaging Window Size
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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