R
Ramona W. Bouwman
Researcher at Radboud University Nijmegen
Publications - 25
Citations - 419
Ramona W. Bouwman is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Image quality & Digital mammography. The author has an hindex of 9, co-authored 25 publications receiving 314 citations. Previous affiliations of Ramona W. Bouwman include Radboud University Nijmegen Medical Centre.
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Journal ArticleDOI
Image quality in CT: From physical measurements to model observers.
Francis R. Verdun,Damien Racine,Julien G. Ott,M.J. Tapiovaara,P. Toroi,François Bochud,Wouter J. H. Veldkamp,Wouter J. H. Veldkamp,Alexander Schegerer,Ramona W. Bouwman,I. Hernandez Giron,Nicholas Marshall,Sue Edyvean +12 more
TL;DR: The spectrum of various methods that have been used to characterise image quality in CT: from objective measurements of physical parameters to clinically task-based approaches (i.e. model observer (MO) approach) including pure human observer approach are presented.
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New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers.
Alejandro Rodriguez-Ruiz,Jonas Teuwen,Suzan Vreemann,Ramona W. Bouwman,Ruben E. van Engen,Nico Karssemeijer,Ritse M. Mann,Albert Gubern-Mérida,Ioannis Sechopoulos +8 more
TL;DR: The new algorithm provides DBT volumes with better contrast and image quality, fewer artifacts, and improved visibility of calcifications for human observers, as well as improved detection performance with deep-learning algorithms.
Journal ArticleDOI
An alternative method for noise analysis using pixel variance as part of quality control procedures on digital mammography systems.
Ramona W. Bouwman,Kenneth C. Young,Barbara Lazzari,V. Ravaglia,Mireille J. M. Broeders,R E van Engen +5 more
TL;DR: This paper attempts to give an alternative and relatively simple method for noise analysis which can divide noise into electronic noise, structured noise and quantum noise and confirms that the proposed method is able to discriminate systems based on their noise performance and be able to detect possible quality problems.
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Inter-laboratory comparison of channelized hotelling observer computation.
Alexandre Ba,Craig K. Abbey,Jongduk Baek,Minah Han,Ramona W. Bouwman,Christiana Balta,Jovan G. Brankov,Francesc Massanes,Howard C. Gifford,I. Hernandez-Giron,Wouter J. H. Veldkamp,Dimitar Petrov,Nicholas Marshall,Frank W. Samuelson,Rongping Zeng,Justin Solomon,Ehsan Samei,Pontus Timberg,Hannie Förnvik,Ingrid Reiser,Lifeng Yu,Hao Gong,François Bochud +22 more
TL;DR: This intercomparison helped define the state of the art of model observer performance computation and with thirteen participants, reflects openness and trust within the medical imaging community.
Journal ArticleDOI
Toward image quality assessment in mammography using model observers: Detection of a calcification-like object
Ramona W. Bouwman,Alistair Mackenzie,Ruben E. van Engen,Mireille J. M. Broeders,Kenneth C. Young,Kenneth C. Young,David R. Dance,David R. Dance,Gerard J. den Heeten,Wouter J. H. Veldkamp,Wouter J. H. Veldkamp +10 more
TL;DR: The correlation between human and model observer performance does not depend on image quality and this is a promising outcome for the use of model observers in image quality analysis and allows for subsequent research toward the development of MO‐based quality control procedures and guidelines.