NDLI: Extraction and tracking of the tongue surface from ultrasound image sequences

Content Provider	IEEE Xplore Digital Library
Author	Akgul, Y.S. Kambhamettu, C. Stone, M.
Copyright Year	1998
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Delaware Univ., Newark, DE, USA (Akgul, Y.S.)
Abstract	This paper presents a system for automatic extraction and tracking of 2D contours of the tongue surfaces from digital ultrasound image sequences. The input to the system is provided by a Head and Transducer Support System (HATS), which is developed for use in ultrasound imaging of the tongue movement. We developed a novel active contour (snakes) model that uses several temporally adjacent images during the extraction of the tongue surface contour for an image frame. The user supplies an initial contour model for a single image frame in the whole sequence. Using optical flow and multi-resolution methods, this initial contour is then used to find the candidate contour points in the temporally immediate adjacent images. Subsequently, the new snake mechanism is applied to estimate optimal contours for each image frame using these candidate points. In turn, the extracted contours are used as models for the extraction process of new adjacent frames. Finally, the system uses a novel postprocessing technique to refine the positions of the contours. We tested the system on 11 different speech sequences, each containing about 25 images. Visual inspection of the detected contours by the speech experts shows that the results are very promising and this system can be effectively employed in speech and swallowing research.
Starting Page	298
Ending Page	303
File Size	630988
Page Count	6
File Format	PDF
ISBN	0818684976
ISSN	10636919
DOI	10.1109/CVPR.1998.698623
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-06-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tongue Ultrasonic imaging Speech Image sequences Head Ultrasonic transducers Optical imaging Active contours Image motion analysis System testing
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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	Mr. Siddhartha Mukherjee siddhartha@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	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray 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

Automatic extraction and tracking of the tongue contours

Automatic motion analysis of the tongue surface from ultrasound image sequences

Deep Belief Networks for Real-Time Extraction of Tongue Contours from Ultrasound During Speech

Tracking With Sobolev Active Contours

Review of Myocardial Motion Estimation Methods from Optical Flow Tracking on Ultrasound Data

Segmentation and tracking in echocardiographic sequences: active contours guided by optical flow estimates

Automatic extraction and tracking of contours

Curved contours and surface reconstruction

Visual extraction of motion-based information from image sequences

Extraction and tracking of the tongue surface from ultrasound image sequences

Similar Documents

Automatic extraction and tracking of the tongue contours

Automatic motion analysis of the tongue surface from ultrasound image sequences

Deep Belief Networks for Real-Time Extraction of Tongue Contours from Ultrasound During Speech

Tracking With Sobolev Active Contours

Review of Myocardial Motion Estimation Methods from Optical Flow Tracking on Ultrasound Data

Segmentation and tracking in echocardiographic sequences: active contours guided by optical flow estimates

Automatic extraction and tracking of contours

Curved contours and surface reconstruction

Visual extraction of motion-based information from image sequences

Extraction and tracking of the tongue surface from ultrasound image sequences