Diffeomorphic Diffusion Registration of Lung CT Images

Alexander Schmidt-Richberg; Jan Ehrhardt; René Werner; Heinz Handels

Diffeomorphic Diffusion Registration of Lung CT Images

Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Heinz Handels

Institute of Medical Informatics

Abstract

Registration of the lungs in thoracic CT images is required in many fields of application in medical imaging, for example for motion estimation, analysis of pathology progression or the generation of shape atlases. In this paper, we present a robust registration approach that has been optimized for the registration of thoracic CT data. The algorithm con-sists of an initial shape-based adjustment of lung surfaces followed by an intensity-based diffeomorphic image registration. The approach is evaluated based on 20 CT scans provided for the EM-PIRE10 study for pulmonary image registration. A fourth place out of 34 participants suggests a good applicability for the registration of lung CT images.

Original language	English
Publication status	Published - 2010
Event	MICCAI 2010 - Beijing, China Duration: 20.09.2010 → 24.09.2010 http://www.miccai.org/miccai-2010-beijing

Conference

Conference	MICCAI 2010
Country/Territory	China
City	Beijing
Period	20.09.10 → 24.09.10
Internet address	http://www.miccai.org/miccai-2010-beijing

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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http://www.diagnijmegen.nl/~bram/grandchallenge2010/055.pdf

Cite this

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title = "Diffeomorphic Diffusion Registration of Lung CT Images",

abstract = "Registration of the lungs in thoracic CT images is required in many fields of application in medical imaging, for example for motion estimation, analysis of pathology progression or the generation of shape atlases. In this paper, we present a robust registration approach that has been optimized for the registration of thoracic CT data. The algorithm con-sists of an initial shape-based adjustment of lung surfaces followed by an intensity-based diffeomorphic image registration. The approach is evaluated based on 20 CT scans provided for the EM-PIRE10 study for pulmonary image registration. A fourth place out of 34 participants suggests a good applicability for the registration of lung CT images. ",

author = "Alexander Schmidt-Richberg and Jan Ehrhardt and Ren{\'e} Werner and Heinz Handels",

year = "2010",

language = "English",

note = "MICCAI 2010<br/> ; Conference date: 20-09-2010 Through 24-09-2010",

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TY - CONF

T1 - Diffeomorphic Diffusion Registration of Lung CT Images

AU - Schmidt-Richberg, Alexander

AU - Ehrhardt, Jan

AU - Werner, René

AU - Handels, Heinz

PY - 2010

Y1 - 2010

N2 - Registration of the lungs in thoracic CT images is required in many fields of application in medical imaging, for example for motion estimation, analysis of pathology progression or the generation of shape atlases. In this paper, we present a robust registration approach that has been optimized for the registration of thoracic CT data. The algorithm con-sists of an initial shape-based adjustment of lung surfaces followed by an intensity-based diffeomorphic image registration. The approach is evaluated based on 20 CT scans provided for the EM-PIRE10 study for pulmonary image registration. A fourth place out of 34 participants suggests a good applicability for the registration of lung CT images.

AB - Registration of the lungs in thoracic CT images is required in many fields of application in medical imaging, for example for motion estimation, analysis of pathology progression or the generation of shape atlases. In this paper, we present a robust registration approach that has been optimized for the registration of thoracic CT data. The algorithm con-sists of an initial shape-based adjustment of lung surfaces followed by an intensity-based diffeomorphic image registration. The approach is evaluated based on 20 CT scans provided for the EM-PIRE10 study for pulmonary image registration. A fourth place out of 34 participants suggests a good applicability for the registration of lung CT images.

UR - http://www.imi.uni-luebeck.de/en/content/diffeomorphic-diffusion-registration-lung-ct-images

M3 - Conference Papers

T2 - MICCAI 2010<br/>

Y2 - 20 September 2010 through 24 September 2010

ER -

Diffeomorphic Diffusion Registration of Lung CT Images

Abstract

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UN SDGs

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