A Charged Contour Model for  Cardiac SPECT Segmentation

R Yang; M Mirmehdi; D Hall

A Charged Contour Model for Cardiac SPECT Segmentation

R Yang
, M Mirmehdi
, D Hall

Bristol Robotics Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

This paper presents a new deformable model for object detection, based on charged particle dynamics and geometric contour propagation, applied to the segmentation of the left ventricle of the heart in SPECT images. The model detects object boundaries with a charged active contour that propagates under the influence of Lorentz forces in an image-based electrostatic field. We find positions of vector field divergence for automatic initialisation of the contour. Experimental results on a dataset of 160 images are evaluated against hand-labelled groundtruth data.

Translated title of the contribution	A Charged Contour Model for Cardiac SPECT Segmentation
Original language	English
Title of host publication	Unknown
Publication status	Published - Jul 2006

Bibliographical note

Conference Proceedings/Title of Journal: Medical Image Understanding and Analysis, MIUA

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http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=2000538

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Cite this

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title = "A Charged Contour Model for Cardiac SPECT Segmentation",

abstract = "This paper presents a new deformable model for object detection, based on charged particle dynamics and geometric contour propagation, applied to the segmentation of the left ventricle of the heart in SPECT images. The model detects object boundaries with a charged active contour that propagates under the influence of Lorentz forces in an image-based electrostatic field. We find positions of vector field divergence for automatic initialisation of the contour. Experimental results on a dataset of 160 images are evaluated against hand-labelled groundtruth data. ",

author = "R Yang and M Mirmehdi and D Hall",

note = "Conference Proceedings/Title of Journal: Medical Image Understanding and Analysis, MIUA",

year = "2006",

month = jul,

language = "English",

booktitle = "Unknown",

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TY - GEN

T1 - A Charged Contour Model for Cardiac SPECT Segmentation

AU - Yang, R

AU - Mirmehdi, M

AU - Hall, D

N1 - Conference Proceedings/Title of Journal: Medical Image Understanding and Analysis, MIUA

PY - 2006/7

Y1 - 2006/7

N2 - This paper presents a new deformable model for object detection, based on charged particle dynamics and geometric contour propagation, applied to the segmentation of the left ventricle of the heart in SPECT images. The model detects object boundaries with a charged active contour that propagates under the influence of Lorentz forces in an image-based electrostatic field. We find positions of vector field divergence for automatic initialisation of the contour. Experimental results on a dataset of 160 images are evaluated against hand-labelled groundtruth data.

AB - This paper presents a new deformable model for object detection, based on charged particle dynamics and geometric contour propagation, applied to the segmentation of the left ventricle of the heart in SPECT images. The model detects object boundaries with a charged active contour that propagates under the influence of Lorentz forces in an image-based electrostatic field. We find positions of vector field divergence for automatic initialisation of the contour. Experimental results on a dataset of 160 images are evaluated against hand-labelled groundtruth data.

M3 - Conference Contribution (Conference Proceeding)

BT - Unknown