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4D-PET reconstruction using a spline-residue model with spatial and temporal roughness penalties

Abstract:

4D reconstruction of dynamic positron emission tomography (dPET) data can improve the signal-to-noise ratio in reconstructed image sequences by fitting smooth temporal functions to the voxel time-activity-curves (TACs) during the reconstruction, though the optimal choice of function remains an open question. We propose a spline-residue model, which describes TACs as weighted sums of convolutions of the arterial input function with cubic B-spline basis functions. Convolution with the input fun...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1088/1361-6560/aabb62

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Oncology
Role:
Author
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Oncology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Oncology
Sub department:
CRUK/MRC Ox Inst for Radiation Oncology
Role:
Author
ORCID:
0000-0003-3072-909X
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Funding agency for:
McGowen, D
Grant:
Clinical Lectureship (ICA-CL-2016-02-009
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Funding agency for:
McGowen, D
Grant:
Clinical Lectureship (ICA-CL-2016-02-009
CRUK-EPSRC Oxford Cancer Imaging Centre More from this funder
Novartis Pharmaceuticals UK Ltd More from this funder
University of Oxford More from this funder
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Publisher:
IOP Publishing Publisher's website
Journal:
Physics in Medicine and Biology Journal website
Volume:
63
Issue:
9
Article number:
095013
Publication date:
2018-05-04
Acceptance date:
2018-04-03
DOI:
ISSN:
0031-9155
Source identifiers:
833489
Keywords:
Pubs id:
pubs:833489
UUID:
uuid:1eb455c9-6988-4038-a620-f5157b73b668
Local pid:
pubs:833489
Deposit date:
2018-04-04

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