Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Dan J. Kadrmas"'
Autor:
Roberto Fedrigo, Dan J. Kadrmas, Patricia E. Edem, Lauren Fougner, Ivan S. Klyuzhin, M. Peter Petric, François Bénard, Arman Rahmim, Carlos Uribe
Publikováno v:
EJNMMI Physics, Vol 9, Iss 1, Pp 1-22 (2022)
Abstract Background Positron emission tomography (PET) with prostate specific membrane antigen (PSMA) have shown superior performance in detecting metastatic prostate cancers. Relative to [18F]fluorodeoxyglucose ([18F]FDG) PET images, PSMA PET images
Externí odkaz:
https://doaj.org/article/f54a8dfc61e34cd09c3b475ad23193eb
Autor:
Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu, Abhinav K. Jha, Robert V. Bergen, Jean-Francois Rajotte, Raymond T. Ng, Ingrid Bloise, Sara Harsini, Dan J. Kadrmas, Carlos Uribe, Arman Rahmim
Publikováno v:
Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment.
Autor:
Roberto Fedrigo, Arman Rahmim, Jeremy D. Wong, Dan J. Kadrmas, Carlos Uribe, David Black, Yas Oloumi Yazdi, Ivan S. Klyuzhin
Purpose Respiratory motion during positron emission tomography (PET) scans can be a major detriment to image quality in oncological imaging, leading to loss of quantification accuracy and false negative findings. The impact of motion on lesion quanti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbbd8efe1a9234a1aa188bfecbefe892
https://doi.org/10.36227/techrxiv.13440122.v2
https://doi.org/10.36227/techrxiv.13440122.v2
Autor:
Arman Rahmim, Dan J. Kadrmas, Francois Benard, Ivan S. Klyuzhin, Lauren Fougner, Roberto Fedrigo, Patricia E. Edem, M. Peter Petric, Carlos Uribe
Publikováno v:
EJNMMI Physics, Vol 9, Iss 1, Pp 1-22 (2022)
EJNMMI Physics
EJNMMI Physics
Background Positron emission tomography (PET) with prostate specific membrane antigen (PSMA) have shown superior performance in detecting metastatic prostate cancers. Relative to [18F]fluorodeoxyglucose ([18F]FDG) PET images, PSMA PET images tend to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6290377eeadf2e05e17462c032164d70
Autor:
Dan J. Kadrmas, Yas Oloumi Yazdi, Ivan S. Klyuzhin, Roberto Fedrigo, David Black, Carlos Uribe-Munoz, Jeremy D. Wong, Arman Rahmim
Purpose Respiratory motion during positron emission tomography (PET) scans can be a major detriment to image quality in oncological imaging, leading to loss of quantification accuracy and false negative findings. The impact of motion on lesion quanti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8d021501b122bf590a0145bb8d7b15c
https://doi.org/10.36227/techrxiv.13440122.v1
https://doi.org/10.36227/techrxiv.13440122.v1
Autor:
Abhinav K. Jha, Dan J. Kadrmas, Nicolas A. Karakatsanis, Hassan Mohy-ud-Din, Michael E. Casey, Arman Rahmim, Saeed Ashrafinia
Publikováno v:
Physics in Medicine and Biology. 62:5149-5179
Point-spread function (PSF) modeling offers the ability to account for resolution degrading phenomena within the PET image generation framework. PSF modeling improves resolution and enhances contrast, but at the same time significantly alters image n
Publikováno v:
Physics in Medicine and Biology. 61:1238-1258
Multi-tracer positron emission tomography (PET) can image two or more tracers in a single scan, characterizing multiple aspects of biological functions to provide new insights into many diseases. The technique uses dynamic imaging, resulting in time-
Autor:
A. Michael Morey, Dan J. Kadrmas
Publikováno v:
Journal of Nuclear Medicine Technology. 41:268-273
Iterative reconstruction has become the standard for routine clinical positron emission tomography (PET) imaging. However, iterative reconstruction is computationally expensive, especially for time-of-flight (TOF) data. Block-iterative algorithms suc
Autor:
Dan J. Kadrmas, John M. Hoffman
Publikováno v:
Theranostics
Positron emission tomography (PET) can image a wide variety of functional and physiological parameters in vivo using different radiotracers. As more is learned about the molecular basis for disease and treatment, the potential value of molecular imag
Publikováno v:
Physics in Medicine and Biology. 57:5809-5821
Dynamic emission computed tomographic imaging with compartment modeling can quantify in vivo physiologic processes, eliciting more information regarding underlying molecular disease processes than is obtained from static imaging. However, estimation