NDLI: Statistically constrained snake deformations

Content Provider	IEEE Xplore Digital Library
Author	Hamarneh, G. Gustavsson, T.
Copyright Year	2000
Description	Author affiliation: Image Anal. Group, Chalmers Univ. of Technol., Goteborg, Sweden (Hamarneh, G.)
Abstract	The authors present a method for constraining the deformations of Snakes (active contour models) when segmenting a known class of objects. The method we propose is similar to both active shape models (ASM) but without the landmark identification and correspondence requirement, and to active contour models (ACM), but armed with a priori information about shape variation. Rather than representing the object boundary by spatial landmarks in a point-by-point fashion, we employ a frequency based boundary representation. In this way, the principal component analysis (PCA), which is central to ASM, is applied to a set of frequency-domain shape descriptors, removing the need for the difficult determination of spatial landmarks. Given a training set of representative images of the object of interest, we extract an average object shape along with a set of significant shape variation modes, explaining most of the shape variation in the training set. Armed with this a priori model of shape variation, we find the boundaries in unknown images by placing an initial ACM and allowing it to deform only according to the examined shape variations. The described methodology was applied to a set of 105 echocardiographic images for locating the left ventricular boundary. The results were particularly encouraging in clinically difficult cases where the ventricular boundary was partly occluded by noise.
Starting Page	1610
Ending Page	1615
File Size	457278
Page Count	6
File Format	PDF
ISBN	0780365836
ISSN	1062922X
DOI	10.1109/ICSMC.2000.886252
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Active shape model Image segmentation Active contours Principal component analysis Echocardiography Humans Discrete cosine transforms Image analysis Deformable models Heart
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

Combining snakes and active shape models for segmenting the human left ventricle in echocardiographic images

Shape constrained discrete dynamic contours for noisy object segmentation

STATISTICALLY-CONSTRAINED DEFORMABLE REGISTRATION OF MR BRAIN IMAGES

Robust MR Image Segmentation Using 3D Partitioned Active Shape Models

Contrast echography segmentation and tracking by trained deformable models

Statistical 3D shape-model guided segmentation of cardiac images

Advanced initialization possibilities of active contours

Cellsnake: A new active contour technique for cell/fibre segmentation

Research on an Improved Active Shape Models

Statistically constrained snake deformations

Similar Documents

Combining snakes and active shape models for segmenting the human left ventricle in echocardiographic images

Shape constrained discrete dynamic contours for noisy object segmentation

STATISTICALLY-CONSTRAINED DEFORMABLE REGISTRATION OF MR BRAIN IMAGES

Robust MR Image Segmentation Using 3D Partitioned Active Shape Models

Contrast echography segmentation and tracking by trained deformable models

Statistical 3D shape-model guided segmentation of cardiac images

Advanced initialization possibilities of active contours

Cellsnake: A new active contour technique for cell/fibre segmentation

Research on an Improved Active Shape Models

Statistically constrained snake deformations