Convolutional neural networks for automatic image quality control and EARL compliance of PET images

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: EJNMMI Physics, 9, 1, S. 53-

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2022

Event: Veröffentlichung

(who): Springer Science and Business Media LLC

(when): 2022

Creator: Pfaehler, Elisabeth
Euba, Daniela
Rinscheid, Andreas
Hoekstra, Otto S.
Zijlstra, Josee
van Sluis, Joyce
Brouwers, Adrienne H.
Lapa, Constantin Frederik Victor
Boellaard, Ronald

DOI: 10.1186/s40658-022-00468-w

URN: urn:nbn:de:bvb:384-opus4-981159

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:27 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Pfaehler, Elisabeth
Euba, Daniela
Rinscheid, Andreas
Hoekstra, Otto S.
Zijlstra, Josee
van Sluis, Joyce
Brouwers, Adrienne H.
Lapa, Constantin Frederik Victor
Boellaard, Ronald
Universität Augsburg
Springer Science and Business Media LLC

Time of origin

2022

Other Objects (12)

EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies

Clinically feasible semi-automatic workflows for measuring metabolically active tumour volume in metastatic melanoma

EARL compliance and imaging optimisation on the Biograph Vision Quadra PET/CT using phantom and clinical data

EANM/EARL FDG-PET/CT accreditation - summary results from the first 200 accredited imaging systems

Accuracy of 3D acquisition mode for myocardial FDG PET studies using a BGO-based scanner

Quantitative implications of the updated EARL 2019 PET–CT performance standards

Off-line motion correction methods for multi-frame PET data

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising

Feasibility of PET/CT system performance harmonisation for quantitative multicentre 89Zr studies

SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool

Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET

Clinical Performance Comparison of a Long Versus a Short Axial Field-of-View PET/CT Using EARL-Compliant Reconstructions

EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies

Clinically feasible semi-automatic workflows for measuring metabolically active tumour volume in metastatic melanoma

EARL compliance and imaging optimisation on the Biograph Vision Quadra PET/CT using phantom and clinical data

EANM/EARL FDG-PET/CT accreditation - summary results from the first 200 accredited imaging systems

Accuracy of 3D acquisition mode for myocardial FDG PET studies using a BGO-based scanner

Quantitative implications of the updated EARL 2019 PET–CT performance standards

Off-line motion correction methods for multi-frame PET data

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising

Feasibility of PET/CT system performance harmonisation for quantitative multicentre 89Zr studies

SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool

Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET

Clinical Performance Comparison of a Long Versus a Short Axial Field-of-View PET/CT Using EARL-Compliant Reconstructions

EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies

Clinically feasible semi-automatic workflows for measuring metabolically active tumour volume in metastatic melanoma

EARL compliance and imaging optimisation on the Biograph Vision Quadra PET/CT using phantom and clinical data

EANM/EARL FDG-PET/CT accreditation - summary results from the first 200 accredited imaging systems

Accuracy of 3D acquisition mode for myocardial FDG PET studies using a BGO-based scanner

Quantitative implications of the updated EARL 2019 PET–CT performance standards

Off-line motion correction methods for multi-frame PET data

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising

Feasibility of PET/CT system performance harmonisation for quantitative multicentre 89Zr studies

SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool

Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET

Clinical Performance Comparison of a Long Versus a Short Axial Field-of-View PET/CT Using EARL-Compliant Reconstructions

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Convolutional neural networks for automatic image quality control and EARL compliance of PET images

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies

Clinically feasible semi-automatic workflows for measuring metabolically active tumour volume in metastatic melanoma

EARL compliance and imaging optimisation on the Biograph Vision Quadra PET/CT using phantom and clinical data

EANM/EARL FDG-PET/CT accreditation - summary results from the first 200 accredited imaging systems

Accuracy of 3D acquisition mode for myocardial FDG PET studies using a BGO-based scanner

Quantitative implications of the updated EARL 2019 PET–CT performance standards

Off-line motion correction methods for multi-frame PET data

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising

Feasibility of PET/CT system performance harmonisation for quantitative multicentre 89Zr studies

SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool

Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET

Clinical Performance Comparison of a Long Versus a Short Axial Field-of-View PET/CT Using EARL-Compliant Reconstructions

EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies

Clinically feasible semi-automatic workflows for measuring metabolically active tumour volume in metastatic melanoma

EARL compliance and imaging optimisation on the Biograph Vision Quadra PET/CT using phantom and clinical data

EANM/EARL FDG-PET/CT accreditation - summary results from the first 200 accredited imaging systems

Accuracy of 3D acquisition mode for myocardial FDG PET studies using a BGO-based scanner

Quantitative implications of the updated EARL 2019 PET–CT performance standards

Off-line motion correction methods for multi-frame PET data

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising

Feasibility of PET/CT system performance harmonisation for quantitative multicentre 89Zr studies

SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool

Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET

Clinical Performance Comparison of a Long Versus a Short Axial Field-of-View PET/CT Using EARL-Compliant Reconstructions

EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies

Clinically feasible semi-automatic workflows for measuring metabolically active tumour volume in metastatic melanoma

EARL compliance and imaging optimisation on the Biograph Vision Quadra PET/CT using phantom and clinical data

EANM/EARL FDG-PET/CT accreditation - summary results from the first 200 accredited imaging systems

Accuracy of 3D acquisition mode for myocardial FDG PET studies using a BGO-based scanner

Quantitative implications of the updated EARL 2019 PET–CT performance standards

Off-line motion correction methods for multi-frame PET data

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising

Feasibility of PET/CT system performance harmonisation for quantitative multicentre 89Zr studies

SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool

Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET

Clinical Performance Comparison of a Long Versus a Short Axial Field-of-View PET/CT Using EARL-Compliant Reconstructions

Related objects

Reset password