NDLI: TRUS image segmentation using morphological operators and DBSCAN clustering

Content Provider	IEEE Xplore Digital Library
Author	Manavalan, R. Thangavel, K.
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Applications, K.S.R. College of Arts and Sciences, Tiruchengode - 637 209, Tamil Nadu, India (Manavalan, R.) \|\| Department of Computer Science, Periyar University, Salem - 636 011, Tamil Nadu, India (Thangavel, K.)
Abstract	Ultrasound imaging is a widely used technology for prostate cancer diagnosis and prognosis among the different medical image modalities. The ultrasound images are very difficult to segment because of poor image contrast, speckle noise, and missing or diffuse boundaries in the transrectal ultrasound (TRUS). So the significant application is the segmentation of the prostate in transrectal ultrasound image. Generally there is no common approach for prostate image segmentation. The extraction of the prostate region from the original TRUS medical image is still a challenging research. This paper proposes a novel segmentation procedure for the TRUS medical image of prostate. It consists of four main stages. In the first stage, aM3-Filter is used to generate a despeckled image, since the speckle noise is commonly found in the ultrasound medical images. And the despeckled image is enhanced by top-hot filter. In the second stage, this enhanced image is used to compute thresholded image by local adaptive threshold method and Morphological operators are applied to extract an area containing the prostate (or large portions of it). In the third stage, The DBSCAN algorithm is applied to identify the core pixels, border pixels and noise pixels. The Clusters are formed by considering the density relations of the points. The clusters of core pixels and border pixels are used to automatically characterize the prostate region. The performance of the proposed algorithm is compared with manual segmentation using statistical parameters such as Rand Index (RI), Global Consistency Error (GCE), Variations of Information (VOI) and Boundary Displacement Error (BDE).
Starting Page	898
Ending Page	903
File Size	462449
Page Count	6
File Format	PDF
ISBN	9781467301275
e-ISBN	9781467301268
DOI	10.1109/WICT.2011.6141367
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Ultrasonic imaging Noise Clustering algorithms Manuals Speckle TRUS Speckle Noise and DBSCAN Prostate Biomedical imaging
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in