A Statistical Approach to Motion Compensated Cone Beam Reconstruction

Mark Lyksborg; Mads Fogtmann Hansen; Rasmus Larsen

doi:10.1109/ISBI.2010.5490054

A Statistical Approach to Motion Compensated Cone Beam Reconstruction

Mark Lyksborg, Mads Fogtmann Hansen, Rasmus Larsen

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Abstract

One of the problems arising in radiotherapy planning is the quality of CT planning data. In the following attention is giving to the cone-beam scanning geometry where reconstruction of a 3D volume based on 2D projections, using the classic Feldkamp-Davis-Kress (FDK) algorithm requires a large number of projections to be adequate. Since the patients are breathing freely during a scan, the number of projections with similar respiration may be to low. In the following we use an iterative reconstruction combined with the simultaneous estimation of the motion field, to improve reconstruction in these situations. Using a simulated dataset we demonstrate that this combination outperforms the FDK but due to ill possessedness of the motion estimation it is only on par with the sole iterative method.

Original language	English
Title of host publication	Proceedings of IEEE International Symposium on Biomedical Imaging: : From Nano to Macro
Publisher	IEEE
Publication date	2010
Pages	804-807
ISBN (Print)	978-1-4244-4125-9
DOIs	https://doi.org/10.1109/ISBI.2010.5490054
Publication status	Published - 2010
Event	2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Rotterdam, Netherlands Duration: 14 Apr 2010 → 17 Apr 2010 Conference number: 7 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5481762

Conference

Conference	2010 IEEE International Symposium on Biomedical Imaging
Number	7
Country/Territory	Netherlands
City	Rotterdam
Period	14/04/2010 → 17/04/2010
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5481762

Bibliographical note

Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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title = "A Statistical Approach to Motion Compensated Cone Beam Reconstruction",

abstract = "One of the problems arising in radiotherapy planning is the quality of CT planning data. In the following attention is giving to the cone-beam scanning geometry where reconstruction of a 3D volume based on 2D projections, using the classic Feldkamp-Davis-Kress (FDK) algorithm requires a large number of projections to be adequate. Since the patients are breathing freely during a scan, the number of projections with similar respiration may be to low. In the following we use an iterative reconstruction combined with the simultaneous estimation of the motion field, to improve reconstruction in these situations. Using a simulated dataset we demonstrate that this combination outperforms the FDK but due to ill possessedness of the motion estimation it is only on par with the sole iterative method.",

author = "Mark Lyksborg and Hansen, {Mads Fogtmann} and Rasmus Larsen",

note = "Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; 2010 IEEE International Symposium on Biomedical Imaging : From Nano to Macro, ISBI 2010 ; Conference date: 14-04-2010 Through 17-04-2010",

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AU - Larsen, Rasmus

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N2 - One of the problems arising in radiotherapy planning is the quality of CT planning data. In the following attention is giving to the cone-beam scanning geometry where reconstruction of a 3D volume based on 2D projections, using the classic Feldkamp-Davis-Kress (FDK) algorithm requires a large number of projections to be adequate. Since the patients are breathing freely during a scan, the number of projections with similar respiration may be to low. In the following we use an iterative reconstruction combined with the simultaneous estimation of the motion field, to improve reconstruction in these situations. Using a simulated dataset we demonstrate that this combination outperforms the FDK but due to ill possessedness of the motion estimation it is only on par with the sole iterative method.

AB - One of the problems arising in radiotherapy planning is the quality of CT planning data. In the following attention is giving to the cone-beam scanning geometry where reconstruction of a 3D volume based on 2D projections, using the classic Feldkamp-Davis-Kress (FDK) algorithm requires a large number of projections to be adequate. Since the patients are breathing freely during a scan, the number of projections with similar respiration may be to low. In the following we use an iterative reconstruction combined with the simultaneous estimation of the motion field, to improve reconstruction in these situations. Using a simulated dataset we demonstrate that this combination outperforms the FDK but due to ill possessedness of the motion estimation it is only on par with the sole iterative method.

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PB - IEEE

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Y2 - 14 April 2010 through 17 April 2010

ER -

A Statistical Approach to Motion Compensated Cone Beam Reconstruction

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