Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Special Section on Virtual Clinical Trials"'
Autor:
Nick Bottenus, Andrew D. A. Maidment, Paul E. Kinahan, William P. Segars, Joseph Y. Lo, Ehsan Samei, Ehsan Abadi, Benjamin M. W. Tsui, Alejandro F. Frangi
Publikováno v:
Journal of Medical Imaging
The accelerating complexity and variety of medical imaging devices and methods have outpaced the ability to evaluate and optimize their design and clinical use. This is a significant and increasing challenge for both scientific investigations and cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edf1b83d28164e774f61af874d012f58
https://lirias.kuleuven.be/handle/20.500.12942/695802
https://lirias.kuleuven.be/handle/20.500.12942/695802
Autor:
Rongping, Zeng, Frank W, Samuelson, Diksha, Sharma, Andreu, Badal, Graff G, Christian, Stephen J, Glick, Kyle J, Myers, Aldo, Badano
Publikováno v:
J Med Imaging (Bellingham)
A recent study reported on an in-silico imaging trial that evaluated the performance of digital breast tomosynthesis (DBT) as a replacement for full-field digital mammography (FFDM) for breast cancer screening. In this in-silico trial, the whole imag
Autor:
Ehsan Samei, Brian P. Harrawood, Ehsan Abadi, Anuj J. Kapadia, Shobhit Sharma, William P. Segars
Publikováno v:
J Med Imaging (Bellingham)
Purpose: To utilize a virtual clinical trial (VCT) construct to investigate the effects of beam collimation and pitch on image quality (IQ) in computed tomography (CT) under different respiratory and cardiac motion rates. Approach: A computational hu
Autor:
Lesley Cockmartin, Guozhi Zhang, Janne Vignero, Nicholas Marshall, Hilde Bosmans, Liesbeth Vancoillie
Publikováno v:
J Med Imaging (Bellingham)
Purpose: The impact of system parameters on signal detectability can be studied with simulation platforms. We describe the steps taken to verify and confirm the accuracy of a local platform developed for the use in virtual clinical trials. Approach:
Publikováno v:
Journal of Medical Imaging
Quantitative image features that can be computed from medical images are proving to be valuable biomarkers of underlying cancer biology that can be used for assessing treatment response and predicting clinical outcomes. However, validation and eventu