NDLI: Level-set segmentation of 2D and 3D ultrasound data using local gamma distribution fitting energy

Content Provider	IEEE Xplore Digital Library
Author	Thanh Minh Bui Coron, A. Mamou, J. Saegusa-Beecroft, E. Machi, J. Dizeux, A. Bridal, S.L. Feleppa, E.J.
Copyright Year	2015
Description	Author affiliation: F.L. Lizzi Center for Biomed. Eng., Riverside Res., New York, NY, USA (Mamou, J.; Feleppa, E.J.) \|\| LIB, UPMC Univ. Paris 06, Paris, France (Thanh Minh Bui; Coron, A.; Dizeux, A.; Bridal, S.L.) \|\| Kuakini Med. Center, Univ. of Hawaii, Honolulu, HI, USA (Saegusa-Beecroft, E.; Machi, J.)
Abstract	Ultrasound (US) data suffer from speckle noise as well as intensity inhomogeneities due to underlying changes in acoustic properties of tissue structure and/or the effects of acoustic focusing and attenuation. This paper describes a 2D and 3D variational level-set method for segmenting such data. To deal with the local statistics of speckle noise, the data term of the level-set energy function is based on local gamma distributions which have shown an ability to model envelope data and gray-level pixel intensities of B-mode clinical images. Local statistics are estimated at a controllable scale using a smooth function with a compact support, a mollifyer, and the method of moments. Compared to manual segmentation, the investigated method provides a high Dice similarity coefficient (DSC) on 3D simulated data, an average DSC of 0.915 on 12 B-mode images of murine tumors acquired with a clinical US system, and average DSCs of 0.920, 0.806 and 0.975 for three media of 54 3D envelope data sets acquired with a high-frequency, focused transducer from dissected human lymph nodes. It also outperforms methods that employ local Gaussian statistics instead of local gamma statistics.
Starting Page	1110
Ending Page	1113
File Size	486959
Page Count	4
File Format	PDF
ISBN	9781479923748
DOI	10.1109/ISBI.2015.7164066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Three-dimensional displays Nonhomogeneous media Kernel Speckle Ultrasonic imaging Noise 3D ultrasound segmentation level set intensity inhomogeneity lymph node high frequency
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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