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Research article
Stefan Weick
Julius-Maximilians-Universitat Wurzburg
Corresponding Author
ORCiD: https://orcid.org/0000-0001-7013-3552
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: To increase the image quality of end-expiratory and end-inspiratory phases of retrospective respiratory self-gated 4D MRI data sets using non-rigid image registration for improved target delineation of moving tumors.
Methods: End-expiratory and end-inspiratory phases of volunteer and patient 4D MRI data sets are used as targets for non-rigid image registration of all other phases using two different registration schemes: In the first, all phases are registered directly (dir-Reg) while next neighbors are successively registered until the target is reached in the second (nn-Reg). Resulting data sets are quantitatively compared using diaphragm and tumor sharpness and the coefficient of variation of regions of interest in the lung, liver, and heart. Qualitative assessment of the patient data regarding noise level, tumor delineation, and overall image quality was performed by blinded reading based on a 4 point Likert scale.
Results: The median coefficient of variation was lower for both registration schemes compared to the target. Median dir-Reg coefficient of variation of all ROIs was 5.6 % lower for expiration and 7.0 % lower for inspiration compared with nn-Reg. Statistical significant differences between the two schemes were found in all comparisons. Median sharpness in inspiration is lower compared to expiration sharpness in all cases. Registered data sets were rated better compared to the targets in all categories. Over all categories, mean expiration scores were 2.92 ± 0.18 for the target, 3.19 ± 0.22 for nn-Reg and 3.56 ± 0.14 for dir-Reg and mean inspiration scores 2.25 ± 0.12 for the target, 2.72 ± 215 0.04 for nn-Reg and 3.78 ± 0.04 for dir-Reg.
Conclusions: In this work, end-expiratory and inspiratory phases of a 4D MRI data sets are used as targets for non-rigid image registration of all other phases. It is qualitatively and quantitatively shown that image quality of the targets can be significantly enhanced leading to improved target delineation of moving tumors.
Keywords
4D-MRI, repiratory induced tumor motion, non-rigid image registration, radiotherapy treatment planning
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CURRENT STATUS: Published
View the published article at BMC Medical Imaging.
Version 2
Posted 10 Mar, 2020
No community comments so far
Editorial decision: Accept
On 31 Mar, 2020
Review #1 received
Received 30 Mar, 2020
Reviewers invited
Invitations sent on 12 Mar, 2020
Reviewer #1 agreed
On 12 Mar, 2020
Editor assigned
On 04 Mar, 2020
Submission checks complete
On 03 Mar, 2020
Editor invited
On 03 Mar, 2020
No comments provided
Editorial decision: Major revision
On 10 Feb, 2020
Review #2 received
Received 09 Feb, 2020
Reviewer #2 agreed
On 27 Jan, 2020
Review #1 received
Received 30 Dec, 2019
Reviewer #1 agreed
On 16 Dec, 2019
Reviewers invited
Invitations sent on 15 Dec, 2019
Editor assigned
On 09 Dec, 2019
Submission checks complete
On 29 Nov, 2019
Editor invited
On 29 Nov, 2019
First submitted
On 22 Nov, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Nuclear Medicine & Medical Imaging
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A new preprint design is coming!
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See the published version of this preprint at BMC Medical Imaging.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Stefan Weick
Julius-Maximilians-Universitat Wurzburg
Corresponding Author
ORCiD: https://orcid.org/0000-0001-7013-3552
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Medical Imaging.
Version 2
Posted 10 Mar, 2020
No community comments so far
Editorial decision: Accept
On 31 Mar, 2020
Review #1 received
Received 30 Mar, 2020
Reviewers invited
Invitations sent on 12 Mar, 2020
Reviewer #1 agreed
On 12 Mar, 2020
Editor assigned
On 04 Mar, 2020
Submission checks complete
On 03 Mar, 2020
Editor invited
On 03 Mar, 2020
No comments provided
Editorial decision: Major revision
On 10 Feb, 2020
Review #2 received
Received 09 Feb, 2020
Reviewer #2 agreed
On 27 Jan, 2020
Review #1 received
Received 30 Dec, 2019
Reviewer #1 agreed
On 16 Dec, 2019
Reviewers invited
Invitations sent on 15 Dec, 2019
Editor assigned
On 09 Dec, 2019
Submission checks complete
On 29 Nov, 2019
Editor invited
On 29 Nov, 2019
First submitted
On 22 Nov, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Nuclear Medicine & Medical Imaging
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Medical Imaging.
Background: To increase the image quality of end-expiratory and end-inspiratory phases of retrospective respiratory self-gated 4D MRI data sets using non-rigid image registration for improved target delineation of moving tumors.
Methods: End-expiratory and end-inspiratory phases of volunteer and patient 4D MRI data sets are used as targets for non-rigid image registration of all other phases using two different registration schemes: In the first, all phases are registered directly (dir-Reg) while next neighbors are successively registered until the target is reached in the second (nn-Reg). Resulting data sets are quantitatively compared using diaphragm and tumor sharpness and the coefficient of variation of regions of interest in the lung, liver, and heart. Qualitative assessment of the patient data regarding noise level, tumor delineation, and overall image quality was performed by blinded reading based on a 4 point Likert scale.
Results: The median coefficient of variation was lower for both registration schemes compared to the target. Median dir-Reg coefficient of variation of all ROIs was 5.6 % lower for expiration and 7.0 % lower for inspiration compared with nn-Reg. Statistical significant differences between the two schemes were found in all comparisons. Median sharpness in inspiration is lower compared to expiration sharpness in all cases. Registered data sets were rated better compared to the targets in all categories. Over all categories, mean expiration scores were 2.92 ± 0.18 for the target, 3.19 ± 0.22 for nn-Reg and 3.56 ± 0.14 for dir-Reg and mean inspiration scores 2.25 ± 0.12 for the target, 2.72 ± 215 0.04 for nn-Reg and 3.78 ± 0.04 for dir-Reg.
Conclusions: In this work, end-expiratory and inspiratory phases of a 4D MRI data sets are used as targets for non-rigid image registration of all other phases. It is qualitatively and quantitatively shown that image quality of the targets can be significantly enhanced leading to improved target delineation of moving tumors.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
This is a list of supplementary files associated with this preprint. Click to download.
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