Impact of attenuation correction on the accuracy of FDG-PET in patients with abdominal tumors: a free-response ROC analysis

2000 ◽  
Vol 27 (9) ◽  
pp. 1365-1371 ◽  
Author(s):  
Roland Hustinx ◽  
Ron J. Dolin ◽  
François Bénard ◽  
Anish Bhatnagar ◽  
Dev Chakraborty ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Fdg Pet ◽  
Roc Analysis ◽  
Free Response ◽  
Abdominal Tumors

scholarly journals Erratum: Impact of attenuation correction on the accuracy of FDG-PET in patients with abdominal tumors: a free-response ROC analysis

2000 ◽  
Vol 27 (9) ◽  
pp. 1435-1435
Author(s):  
Roland Hustinx ◽  
Ron J. Dolin ◽  
François Bénard ◽  
Anish Bhatnagar ◽  
Dev Chakraborty ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Fdg Pet ◽  
Roc Analysis ◽  
Free Response ◽  
Abdominal Tumors

scholarly journals A deep learning approach for 18F-FDG PET attenuation correction

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Fang Liu ◽  
Hyungseok Jang ◽  
Richard Kijowski ◽  
Gengyan Zhao ◽  
Tyler Bradshaw ◽  
...  
Keyword(s):  
Deep Learning ◽  
Attenuation Correction ◽  
Fdg Pet ◽  
Learning Approach ◽  
18F Fdg

scholarly journals Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Karim Armanious ◽  
Tobias Hepp ◽  
Thomas Küstner ◽  
Helmut Dittmann ◽  
Konstantin Nikolaou ◽  
...  
Keyword(s):  
Deep Learning ◽  
Attenuation Correction ◽  
Fdg Pet ◽  
Whole Body ◽  
Generative Adversarial Networks ◽  
Learning Approach ◽  
Adversarial Networks ◽  
18F Fdg

Comparison of liver SUV using unenhanced CT versus contrast-enhanced CT for attenuation correction in 18F-FDG PET/CT

2014 ◽  
Vol 35 (5) ◽  
pp. 472-477 ◽  
Author(s):  
Edwin E.G.W. ter Voert ◽  
Hanneke W.M. van Laarhoven ◽  
Peter J.M. Kok ◽  
Wim J.G. Oyen ◽  
Eric P. Visser ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Fdg Pet ◽  
Unenhanced Ct ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Pet Ct ◽  
Enhanced Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

scholarly journals Impact of CT attenuation correction on the viability pattern assessed by 99mTc-tetrofosmin SPECT/18F-FDG PET

2010 ◽  
Vol 27 (6) ◽  
pp. 913-921 ◽  
Author(s):  
Rene Nkoulou ◽  
Aju P. Pazhenkottil ◽  
Ronny R. Buechel ◽  
Lars Husmann ◽  
Ines Valenta ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Fdg Pet ◽  
99Mtc Tetrofosmin ◽  
Ct Attenuation ◽  
18F Fdg

scholarly journals Feasibility of MRI attenuation correction in cardiac FDG-PET

2013 ◽  
Vol 15 (S1) ◽  
Author(s):  
Jeffrey M Lau ◽  
Shivak Sharma ◽  
Richard Laforest ◽  
Jonathan McConathy ◽  
James Barnwell ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Fdg Pet

Evaluation of diagnostic accuracy in free-response detection-localization tasks using ROC tools

2018 ◽  
Vol 28 (6) ◽  
pp. 1808-1825 ◽  
Author(s):  
Andriy I Bandos ◽  
Nancy A Obuchowski
Keyword(s):  
Cancer Detection ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Roc Curves ◽  
Design Parameters ◽  
Diagnostic Systems ◽  
Free Response ◽  
New Approach ◽  
Alternative Approaches ◽  
Response Detection

Diagnostic systems designed to detect possibly multiple lesions per patient (e.g. multiple polyps during CT colonoscopy) are often evaluated in “free-response” studies that allow for diagnostic responses unconstrained in their number and locations. Analysis of free-response studies requires extensions of the traditional receiver operating characteristic (ROC) analysis, which are termed free-response ROC (FROC) methodology. Despite substantial developments in this area, FROC tools and approaches are much more cumbersome than traditional ROC methods. Alternative approaches that use well-known ROC tools (e.g. ROI-ROC) require defining and physically delineating regions of interest (ROI) and combine FROC data within ROIs. We propose an approach that allows analyzing FROC data using conventional ROC tools without delineating the actual ROIs or reducing data. The design parameters of FROC study are used to make FROC data analyzable using ROC tools and to calibrate the corresponding FROC and ROC curves on both conceptual and numerical levels. Differences in the performance indices of the nonparametric FROC and the new approach are shown to be asymptotically negligible and typically rather small in practice. Data from a large multi-reader study of colon cancer detection are used to illustrate the new approach.

Sign in / Sign up

Export Citation Format

Share Document