Semi-automatic Segmentation of the Left Ventricle in CINE MR Datasets by Linked Radial Active Model (LRAM)

by: Michael Schildt, Regina Pohle, Kay Brune, Andreas Hess

Bildverarbeitung für die Medizin 2005 (2005), pp. 123-127.

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Abstract

Heart failures (cardiac infarction) are of increasing importance due to increasing life expectation. For clinical diagnosis parameters for the condition of hearts are needed and can be derived automatically by imaging processing. In this work we present an efficient method to segment the left ventricle (LV) in heart MR data from rats using two linked active contour models working in a spherical coordinate system. The initial model used for the active contour scheme is generated from user given points by a radial interpolation algorithm. The model was developed on healthy heart data and was tested on 15 different data sets and the results are presented.

@incollection{citeulike:3007043, abstract = {Heart failures (cardiac infarction) are of increasing importance due to increasing life expectation. For clinical diagnosis parameters for the condition of hearts are needed and can be derived automatically by imaging processing. In this work we present an efficient method to segment the left ventricle (LV) in heart MR data from rats using two linked active contour models working in a spherical coordinate system. The initial model used for the active contour scheme is generated from user given points by a radial interpolation algorithm. The model was developed on healthy heart data and was tested on 15 different data sets and the results are presented.}, author = {Schildt, Michael and Pohle, Regina and Brune, Kay and Hess, Andreas }, citeulike-article-id = {3007043}, doi = {http://dx.doi.org/10.1007/3-540-26431-0\_26}, journal = {Bildverarbeitung f\"{u}r die Medizin 2005}, keywords = {registration, segmentation}, pages = {123--127}, posted-at = {2008-07-15 22:34:19}, priority = {2}, title = {Semi-automatic Segmentation of the Left Ventricle in CINE MR Datasets by Linked Radial Active Model (LRAM)}, url = {http://dx.doi.org/10.1007/3-540-26431-0\_26}, year = {2005} }

RIS record

TY - CHAP ID - citeulike:3007043 L3 - citeulike-article-id:3007043 TI - Semi-automatic Segmentation of the Left Ventricle in CINE MR Datasets by Linked Radial Active Model (LRAM) JF - Bildverarbeitung für die Medizin 2005 SP - 123 EP - 127 N2 - Heart failures (cardiac infarction) are of increasing importance due to increasing life expectation. For clinical diagnosis parameters for the condition of hearts are needed and can be derived automatically by imaging processing. In this work we present an efficient method to segment the left ventricle (LV) in heart MR data from rats using two linked active contour models working in a spherical coordinate system. The initial model used for the active contour scheme is generated from user given points by a radial interpolation algorithm. The model was developed on healthy heart data and was tested on 15 different data sets and the results are presented. KW - registration KW - segmentation AU - Schildt, Michael AU - Pohle, Regina AU - Brune, Kay AU - Hess, Andreas PY - 2005/// UR - http://dx.doi.org/10.1007/3-540-26431-0_26 ER -

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