Standards for PET Image Acquisition and Quantitative Data Analysis

By Ronald Boellaard. Journal of Nuclear Medicine, 2009

909 citations recorded by the source corpus.

Subfields: Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5bb719681479716c520929dff6b6869eb086549d

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In Pulmonary and Respiratory Medicine

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0 (2014, neutral): “This requires reconstruction settings to be chosen such as to achieve matching convergence and spatial resolution across various systems and sites, especially within a multicentre setting [48, 58, 59].”
FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0 (2009, methodology): “Variations in PET camera calibration, image reconstruction, and data analysis and/or settings can have more than a 50% effect on the measured SUV [15].”
Deep Auto-context Convolutional Neural Networks for Standard-Dose PET Image Estimation from Low-Dose PET/MRI (2017, methodology): “Accordingly, PET has been increasingly recognized as an important tool for diagnosis [1, 2], determination of prognosis [3, 4], and response monitoring in oncology [5, 6].”
QIN “Radiomics: The Process and the Challenges” (2012, methodology): “PET–CT Quantitative imaging with 2-deoxy-2-[(18)F]fluoro-D-glucose (18-FDG) PET scans is a challenge because it not only requires calibration of the scanner and standardization of the scan protocol but also requires the patient and staff to adhere to a strict patient protocol [14,15].”
PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques (2010, background): “These include but are not limited to (1) time interval between injection and PET scanning, (2) degree of infiltration of administered tracer at the site of injection, (3) the often neglected residual activity in the syringe, (4) correction for radioactive decay of the injected tracer and (5) partial”
A Review on Segmentation of Positron Emission Tomography Images (2014, background): “However, some standards and guidelines have been enacted to ensure more reproducible analyses between scans and centers [50,51].”
Radiomics: the facts and the challenges of image analysis (2018, background): “Scanner calibration and protocol standardisation are necessary to allow for multicentre studies and model gen-eralisability [9, 42].”
3D Slicer as an Image Computing Platform for the Quantitative Imaging Network (2012, methodology): “Response assessment to cancer therapy based on molecular imaging with PET/CT lacks an accepted robust and accurate quantitative metric [62–64].”