Preparing data for multiparametric PET/MR imaging: Influence of PET point spread function modelling and EPI distortion correction on the spatial correlation of [18F]FDG-PET and diffusion-weighted MRI in head and neck cancer

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Preparing data for multiparametric PET/MR imaging : Influence of PET point spread function modelling and EPI distortion correction on the spatial correlation of [18F]FDG-PET and diffusion-weighted MRI in head and neck cancer. / Olin, Anders; Krogager, Louise; Rasmussen, Jacob H; Andersen, Flemming L; Specht, Lena; Beyer, Thomas; Kjaer, Andreas; Fischer, Barbara M; Hansen, Adam E.

I: Physica Medica, Bind 61, 05.2019, s. 1-7.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Olin, A, Krogager, L, Rasmussen, JH, Andersen, FL, Specht, L, Beyer, T, Kjaer, A, Fischer, BM & Hansen, AE 2019, 'Preparing data for multiparametric PET/MR imaging: Influence of PET point spread function modelling and EPI distortion correction on the spatial correlation of [18F]FDG-PET and diffusion-weighted MRI in head and neck cancer', Physica Medica, bind 61, s. 1-7. https://doi.org/10.1016/j.ejmp.2019.04.006

APA

Olin, A., Krogager, L., Rasmussen, J. H., Andersen, F. L., Specht, L., Beyer, T., Kjaer, A., Fischer, B. M., & Hansen, A. E. (2019). Preparing data for multiparametric PET/MR imaging: Influence of PET point spread function modelling and EPI distortion correction on the spatial correlation of [18F]FDG-PET and diffusion-weighted MRI in head and neck cancer. Physica Medica, 61, 1-7. https://doi.org/10.1016/j.ejmp.2019.04.006

Vancouver

Olin A, Krogager L, Rasmussen JH, Andersen FL, Specht L, Beyer T o.a. Preparing data for multiparametric PET/MR imaging: Influence of PET point spread function modelling and EPI distortion correction on the spatial correlation of [18F]FDG-PET and diffusion-weighted MRI in head and neck cancer. Physica Medica. 2019 maj;61:1-7. https://doi.org/10.1016/j.ejmp.2019.04.006

Author

Olin, Anders ; Krogager, Louise ; Rasmussen, Jacob H ; Andersen, Flemming L ; Specht, Lena ; Beyer, Thomas ; Kjaer, Andreas ; Fischer, Barbara M ; Hansen, Adam E. / Preparing data for multiparametric PET/MR imaging : Influence of PET point spread function modelling and EPI distortion correction on the spatial correlation of [18F]FDG-PET and diffusion-weighted MRI in head and neck cancer. I: Physica Medica. 2019 ; Bind 61. s. 1-7.

Bibtex

@article{086e5c4986b8490c89f02be24137a478,
title = "Preparing data for multiparametric PET/MR imaging: Influence of PET point spread function modelling and EPI distortion correction on the spatial correlation of [18F]FDG-PET and diffusion-weighted MRI in head and neck cancer",
abstract = "PURPOSE: Multiparametric imaging holds great potential for characterization of disease heterogeneity. For integrated PET/MR imaging, the combination of 18F-flourodeoxyglucose (FDG) PET and diffusion weighted imaging (DWI) has been suggested for the assessment of tumor heterogeneity. However, PET image resolution is limited and DWI is prone to image distortions. The aim of this study was to assess the influence of PET point spread function (PSF) modelling and DWI distortion correction on the voxelwise correlation between FDG-PET and DWI.METHODS: Data were collected from 11 patients with head and neck cancer, each undergoing PET/MR imaging twice. PET reconstructions with and without PSF modelling and DWI with and without distortion correction were derived. Tumor SUV was compared between PET reconstructions by linear regression. Geometric distortions of DWI with and without distortion correction were quantified by voxelwise correlation coefficients to an undistorted anatomical reference. The influence of PSF modelling and DWI distortion correction on a multiparametric analysis was assessed as a change of the voxelwise correlation coefficient between FDG-PET and DWI measured in tumors.RESULTS: The inclusion of PSF modelling in the PET reconstruction affected tumor quantification by a 10-20% increase in SUV. Distortion correction reduced DWI geometric distortions significantly. The impact of PET PSF modelling on the spatial correlation with DWI was insignificant. However, distortion correction of DWI had a significant effect on the spatial correlation with PET.CONCLUSIONS: Proper preparation of the imaging modalities is important for a correct analysis and interpretation of multiparametric PET/MR imaging of head and neck cancer.",
keywords = "Diffusion Magnetic Resonance Imaging, Fluorodeoxyglucose F18, Head and Neck Neoplasms/diagnostic imaging, Humans, Image Processing, Computer-Assisted, Multimodal Imaging, Positron-Emission Tomography",
author = "Anders Olin and Louise Krogager and Rasmussen, {Jacob H} and Andersen, {Flemming L} and Lena Specht and Thomas Beyer and Andreas Kjaer and Fischer, {Barbara M} and Hansen, {Adam E}",
note = "Copyright {\textcopyright} 2019 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.",
year = "2019",
month = may,
doi = "10.1016/j.ejmp.2019.04.006",
language = "English",
volume = "61",
pages = "1--7",
journal = "Physica Medica",
issn = "1120-1797",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Preparing data for multiparametric PET/MR imaging

T2 - Influence of PET point spread function modelling and EPI distortion correction on the spatial correlation of [18F]FDG-PET and diffusion-weighted MRI in head and neck cancer

AU - Olin, Anders

AU - Krogager, Louise

AU - Rasmussen, Jacob H

AU - Andersen, Flemming L

AU - Specht, Lena

AU - Beyer, Thomas

AU - Kjaer, Andreas

AU - Fischer, Barbara M

AU - Hansen, Adam E

N1 - Copyright © 2019 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

PY - 2019/5

Y1 - 2019/5

N2 - PURPOSE: Multiparametric imaging holds great potential for characterization of disease heterogeneity. For integrated PET/MR imaging, the combination of 18F-flourodeoxyglucose (FDG) PET and diffusion weighted imaging (DWI) has been suggested for the assessment of tumor heterogeneity. However, PET image resolution is limited and DWI is prone to image distortions. The aim of this study was to assess the influence of PET point spread function (PSF) modelling and DWI distortion correction on the voxelwise correlation between FDG-PET and DWI.METHODS: Data were collected from 11 patients with head and neck cancer, each undergoing PET/MR imaging twice. PET reconstructions with and without PSF modelling and DWI with and without distortion correction were derived. Tumor SUV was compared between PET reconstructions by linear regression. Geometric distortions of DWI with and without distortion correction were quantified by voxelwise correlation coefficients to an undistorted anatomical reference. The influence of PSF modelling and DWI distortion correction on a multiparametric analysis was assessed as a change of the voxelwise correlation coefficient between FDG-PET and DWI measured in tumors.RESULTS: The inclusion of PSF modelling in the PET reconstruction affected tumor quantification by a 10-20% increase in SUV. Distortion correction reduced DWI geometric distortions significantly. The impact of PET PSF modelling on the spatial correlation with DWI was insignificant. However, distortion correction of DWI had a significant effect on the spatial correlation with PET.CONCLUSIONS: Proper preparation of the imaging modalities is important for a correct analysis and interpretation of multiparametric PET/MR imaging of head and neck cancer.

AB - PURPOSE: Multiparametric imaging holds great potential for characterization of disease heterogeneity. For integrated PET/MR imaging, the combination of 18F-flourodeoxyglucose (FDG) PET and diffusion weighted imaging (DWI) has been suggested for the assessment of tumor heterogeneity. However, PET image resolution is limited and DWI is prone to image distortions. The aim of this study was to assess the influence of PET point spread function (PSF) modelling and DWI distortion correction on the voxelwise correlation between FDG-PET and DWI.METHODS: Data were collected from 11 patients with head and neck cancer, each undergoing PET/MR imaging twice. PET reconstructions with and without PSF modelling and DWI with and without distortion correction were derived. Tumor SUV was compared between PET reconstructions by linear regression. Geometric distortions of DWI with and without distortion correction were quantified by voxelwise correlation coefficients to an undistorted anatomical reference. The influence of PSF modelling and DWI distortion correction on a multiparametric analysis was assessed as a change of the voxelwise correlation coefficient between FDG-PET and DWI measured in tumors.RESULTS: The inclusion of PSF modelling in the PET reconstruction affected tumor quantification by a 10-20% increase in SUV. Distortion correction reduced DWI geometric distortions significantly. The impact of PET PSF modelling on the spatial correlation with DWI was insignificant. However, distortion correction of DWI had a significant effect on the spatial correlation with PET.CONCLUSIONS: Proper preparation of the imaging modalities is important for a correct analysis and interpretation of multiparametric PET/MR imaging of head and neck cancer.

KW - Diffusion Magnetic Resonance Imaging

KW - Fluorodeoxyglucose F18

KW - Head and Neck Neoplasms/diagnostic imaging

KW - Humans

KW - Image Processing, Computer-Assisted

KW - Multimodal Imaging

KW - Positron-Emission Tomography

U2 - 10.1016/j.ejmp.2019.04.006

DO - 10.1016/j.ejmp.2019.04.006

M3 - Journal article

C2 - 31151573

VL - 61

SP - 1

EP - 7

JO - Physica Medica

JF - Physica Medica

SN - 1120-1797

ER -

ID: 237417683