CT and PET Image Registration: Application to Thorax Area
Document identifier: oai:DiVA.org:ltu-7660
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10.12720/joig.1.4.171-175Keyword: Engineering and Technology,
Thorax,
Experimental Mechanics,
Teknikvetenskap - Bioteknik,
Technology - Bioengineering,
Gradient anistropic diffusion filter,
CTAC,
FFD,
CT,
Mechanical Engineering,
PET,
Registration,
Teknisk mekanik,
Maskinteknik,
Teknik och teknologier,
Applied Mechanics,
Experimentell mekanikPublication year: 2013Relevant Sustainable Development Goals (SDGs):
The SDG label(s) above have been assigned by OSDG.aiAbstract: Accurate attenuation correction of emission data is mandatory for quantitative analysis of PET images. One of the main concerns in CT-based attenuation correction (CTAC) of PET data in multimodality PET/CT imaging is misalignment occurred due to respiratory artifact between PET and CT images. In this paper a combined method which is simple and fast is proposed for registration of PET and CT data to correct the effect of this artifact. The algorithm is composed of two step: First step is meant to reduce the noise by applying an adaptive gradient anistropic diffusion filter then using Iterative closest point (ICP) registration method in order to obtain initial estimation to ensure fast and accurate convergence of the algorithm. At the second step, the respiratory related artifact of PET images is greatly reduced by employing Free Form Deformation algorithm based on B-spline which provides more accurate adaptive transformation to align the images
Authors
Davood Khodadad
Luleå tekniska universitet; Strömningslära och experimentell mekanik
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Alireza Ahmadian Ahmadian
Institute for Advanced Medical Technologies (IAMT), Tehran University of Medical Science
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>>
Hossein Yousefi Banaem
Department of Medical Physics and Medical Engineering, Isfahan University of Medical Sciences
Other publications
>>
Mohammad Reza Ay
Research Institute for Nuclear Medicine, Tehran University of Medical Science
Other publications
>>
Armaghan Fard-Esfahani
Other publications
>>
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header:
identifier: oai:DiVA.org:ltu-7660
datestamp: 2021-04-19T11:02:37Z
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10.12720/joig.1.4.171-175
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titleInfo:
@attributes:
lang: eng
title: CT and PET Image Registration: Application to Thorax Area
abstract: Accurate attenuation correction of emission data is mandatory for quantitative analysis of PET images. One of the main concerns in CT-based attenuation correction (CTAC) of PET data in multimodality PET/CT imaging is misalignment occurred due to respiratory artifact between PET and CT images. In this paper a combined method which is simple and fast is proposed for registration of PET and CT data to correct the effect of this artifact. The algorithm is composed of two step: First step is meant to reduce the noise by applying an adaptive gradient anistropic diffusion filter then using Iterative closest point (ICP) registration method in order to obtain initial estimation to ensure fast and accurate convergence of the algorithm. At the second step the respiratory related artifact of PET images is greatly reduced by employing Free Form Deformation algorithm based on B-spline which provides more accurate adaptive transformation to align the images
subject:
@attributes:
lang: eng
authority: uka.se
topic:
Engineering and Technology
Mechanical Engineering
Applied Mechanics
@attributes:
lang: swe
authority: uka.se
topic:
Teknik och teknologier
Maskinteknik
Teknisk mekanik
@attributes:
lang: eng
topic: registration
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lang: eng
topic: PET
@attributes:
lang: eng
topic: CT
@attributes:
lang: eng
topic: thorax
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lang: eng
topic: FFD
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lang: eng
topic: CTAC
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lang: eng
topic: gradient anistropic diffusion filter
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lang: eng
topic: Technology - Bioengineering
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lang: swe
topic: Teknikvetenskap - Bioteknik
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lang: eng
authority: ltu
topic: Experimental Mechanics
genre: Research subject
@attributes:
lang: swe
authority: ltu
topic: Experimentell mekanik
genre: Research subject
language:
languageTerm: eng
genre:
publication/journal-article
ref
note:
Published
5
Godkänd; 2013; 20140217 (davkho)
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Khodadad
Davood
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affiliation:
Luleå tekniska universitet
Strömningslära och experimentell mekanik
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Ahmadian
Alireza Ahmadian
role:
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affiliation: Institute for Advanced Medical Technologies (IAMT) Tehran University of Medical Science
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Banaem
Hossein Yousefi
role:
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affiliation: Department of Medical Physics and Medical Engineering Isfahan University of Medical Sciences
@attributes:
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namePart:
Ay
Mohammad Reza
role:
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affiliation: Research Institute for Nuclear Medicine Tehran University of Medical Science
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Fard-Esfahani
Armaghan
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originInfo:
dateIssued: 2013
relatedItem:
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type: host
titleInfo:
title: Journal of Image and Graphics
identifier: 2301-3699
part:
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type: volume
number: 1
@attributes:
type: issue
number: 4
extent:
start: 171
end: 175
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url: http://www.joig.org/index.php?m=content&c=index&a=show&catid=34&id=58
url: http://ltu.diva-portal.org/smash/get/diva2:980550/FULLTEXT01.pdf
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