NDLI: Efficient Segmentation of the Foetal Ultrasound Image Using Smoothing Algorithm

Please wait, while we are loading the content...

Efficient Segmentation of the Foetal Ultrasound Image Using Smoothing Algorithm

Content Provider	Semantic Scholar
Author	Anjum, Shazia Pavithra, G. Manjunath, Tadaga Channaveerappa
Copyright Year	2015
Abstract	Ultrasound (US) imaging is the modality of choice in many clinical applications compared to other imaging modalities, such as computed tomography (CT). US images are patient-specific, operator-dependent, and machine specific. However these US images are affected by signal dropouts, artefacts, missing boundaries, attenuation, shadows, and speckle, making US one of the most challenging modalities to work with. Earlier work presents qualitative and quantitative segmentation evaluation of the representative selection method submitted to Challenge US: Biometric Measurements from Fetal Ultrasound Images. In this a total of five teams submitted their results to the fetal head sub-challenge and two teams to the fetal femur sub-challenge, including one team who attempted both. The results of the fetal head sub-challenge shows good performance whereas a fetal femur sub-challenge faces the problem in solving a very hard segmentation problem, since the object of interest has strong appearance changes within the object. To deal with this problem the present work proposes smoothing algorithm to smoothen the other elongated objects are present around the femur bone. This algorithm works by computing the optimal fixed range bandwidth in the US image. Finally the proposed work is experimentally evaluated and thus obtains improved result when compare with the existing system.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://www.rroij.com/open-access/efficient-segmentation-of-the-foetalultrasound-image-using-smoothing-algorithm.pdf
Language	English
Access Restriction	Open
Subject Keyword	Attempt Biometrics Borg Scale Rating of Perceived Exertion Score 17 CT scan Computation (action) Experiment Face Modality (human–computer interaction) Morphologic artifacts Patients Physical object Smoothing (statistical technique) Ultrasonography X-Ray Computed Tomography algorithm biologic segmentation
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

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