Literature DB >> 31088712

Image Postprocessing Adoption Trends in Clinical Medical Imaging.

Niharika Gajawelli1, Sinchai Tsao1, Michael Kromnick1, Marvin Nelson1, Natasha Leporé2.   

Abstract

There is an increased consensus in the medical and research community about the huge benefits quantitative imaging can bring to radiology. According to the Organisation for Economic Co-operation and Development, approximately 80 million CT and 34 million MRI scans are performed yearly in the United States alone, and the vast majority are currently evaluated through visual inspection. However, quantitative imaging can greatly reduce the burden on radiologists, by diminishing read time and improving diagnostic accuracy. This research was funded by the National Science Foundation's I-Corps and Beat-the-Odds programs to interview more than 350 medical imaging professionals (clinicians, radiologists, policymakers, companies) around the world and determine current needs and trends in the use of postprocessing tools. Here the authors present a summary of these interviews for the adult and pediatric realms. The results indicate that clinical quantitative image analysis is increasingly popular and that we are at the cusp of a revolution in the field in terms of adoption.
Copyright © 2019 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Keywords:  Medical imaging; health care; postprocessing software; quantitative imaging

Mesh:

Year:  2019        PMID: 31088712     DOI: 10.1016/j.jacr.2019.01.005

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  4 in total

Review 1.  How Machine Learning is Powering Neuroimaging to Improve Brain Health.

Authors:  Nalini M Singh; Jordan B Harrod; Sandya Subramanian; Mitchell Robinson; Ken Chang; Suheyla Cetin-Karayumak; Adrian Vasile Dalca; Simon Eickhoff; Michael Fox; Loraine Franke; Polina Golland; Daniel Haehn; Juan Eugenio Iglesias; Lauren J O'Donnell; Yangming Ou; Yogesh Rathi; Shan H Siddiqi; Haoqi Sun; M Brandon Westover; Susan Whitfield-Gabrieli; Randy L Gollub
Journal:  Neuroinformatics       Date:  2022-03-28

2.  BlenderPhotonics: an integrated open-source software environment for three-dimensional meshing and photon simulations in complex tissues.

Authors:  Yuxuang Zhang; Qianqian Fang
Journal:  J Biomed Opt       Date:  2022-04       Impact factor: 3.758

3.  Assessing E-Health adoption readiness using diffusion of innovation theory and the role mediated by each adopter's category in a Mauritian context.

Authors:  Manish Putteeraj; Nandhini Bhungee; Jhoti Somanah; Numrata Moty
Journal:  Int Health       Date:  2022-05-02       Impact factor: 3.131

4.  Accuracy and precision of volumetric bone mineral density assessment using dual-source dual-energy versus quantitative CT: a phantom study.

Authors:  Vitali Koch; Nils Große Hokamp; Moritz H Albrecht; Leon D Gruenewald; Ibrahim Yel; Jan Borggrefe; Stefan Wesarg; Katrin Eichler; Iris Burck; Tatjana Gruber-Rouh; Lukas Lenga; Thomas J Vogl; Simon S Martin; Julian L Wichmann; Renate M Hammerstingl; Leona S Alizadeh; Christoph Mader; Nicole A Huizinga; Tommaso D'Angelo; Giorgio Ascenti; Silvio Mazziotti; Christian Booz
Journal:  Eur Radiol Exp       Date:  2021-10-05
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.