Results 71 to 80 of about 6,942,219 (182)

Advancing Heliophysics and Space Weather Modeling Through Open Science

Space Weather, Volume 24, Issue 6, June 2026.
Abstract We present a community‐wide effort to develop a strategy and action plan to advance heliophysics and space weather modeling through open science. While open science has the potential to enhance the quality and pace of scientific discovery, its application to scientific modeling requires more careful consideration regarding open data and open ...
C. Corti, M. M. Kuznetsova, M. A. Reiss, J. Yue, J. Karpen, C. N. Arge, F. Bacchini, C. Bard, S. Bruinsma, R. M. Caplan, L. K. S. Daldorff, P. J. Deka, C. R. DeVore, S. Elvidge, N. Ganushkina, J. D. Huba, B. V. Jackson, V. Jordanova, J. A. Linker, H. Liu, J. G. Luhmann, S. Markidis, P. Mayank, V. Merkin, N. Moens, D. Odstrcil, Y. A. Omelchenko, M. Palmroth, S. Poedts, A. J. Ridley, Y. Shou, V. Tenishev, D. R. Themens, G. Toth, W. Wang, R.‐P. Wilhelm, M. A. Young, B. Cecconi, M.‐Y. Chou, D. De Zeeuw, G. L. Delzanno, C. Didigu, M. El Alaoui, S. Fung, J. Green, Z. Huang, L. K. Jian, L. J. Landwer, M. Lesko, P. MacNeice, A. Masson, M. L. Mays, P. M. Mehta, M. S. Miesch, E. Palmerio, M. Petrenko, E. Provornikova, L. Rastätter, L. Rusaitis, N. Sachdeva, E. Samara, D. Sur, A. Taktakishvili, J. Topper, T. Tsui, C. Verbeke, J. Wang, C. Wiegand, M. Wiltberger, Y. Zheng, M. M. Bisi, M. K. Georgoulis, T. Kodikara, T. Pulkkinen, A. Chartier, D. da Silva, A. Faturahman, K. Garcia‐Sage, D. Kondrashov, V. E. Ledvina, W. Liu, C. Pandey, E. Resnick, C. Shi, R. S. Weigel, K. Whitman, I. Zakharenkova, K. Zhang   +87 more
wiley   +1 more source

Photon-Counting Detector CT Virtual Monoenergetic Images in Cervical Trauma Imaging-Optimization of Dental Metal Artifacts and Image Quality. [PDF]

Diagnostics (Basel)
Objectives: The aim of this study was to analyze the extent of dental metal artifacts in virtual monoenergetic (VME) images, as they often compromise image quality by obscuring soft tissue affecting vascular attenuation reducing sensitivity in the detection of dissections.
Dillinger D, Overhoff D, Froelich MF, Kaatsch HL, Booz C, Hagen A, Vogl TJ, Schönberg SO, Waldeck S.   +8 more
europepmc   +4 more sources

Refining imaging parameters for dual‐energy cone‐beam computed tomography in image‐guided radiation therapy

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Purpose To develop a dose estimation method for virtual monoenergetic images (VMIs) derived from sequential dual‐energy (DE) cone‐beam computed tomography (CBCT), enhancing image quality while reducing imaging dose. The goal is to generate VMIs with lower imaging dose than standard CBCT for future clinical applications.
Hyejoo Kang, Andrew Keeler, Matthew Georgesen, Jason Luce, Ha Nguyen, Mathias Lehmann, Sebastien Gros, John C. Roeske   +7 more
wiley   +1 more source

Monoenergetic computed tomography reconstructions reduce beam hardening artifacts from dental restorations [PDF]

, 2013
The aim of this study was to assess the potential of monoenergetic computed tomography (CT) images to reduce beam hardening artifacts in comparison to standard CT images of dental restoration on dental post-mortem CT (PMCT).
Thali, Michael J., Alkadhi, Hatem, Thali, Michael J, Schwendener, Nicole, Ruder, Thomas D, Winklhofer, Sebastian, Stolzmann, Paul, Ruder, Thomas D.   +7 more
core   +2 more sources

Impact of dose allocation between high‐ and low‐kV scans on virtual monoenergetic image quality in developmental dual‐energy cone‐beam CT for image‐guided radiotherapy

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) offers potential as an advanced imaging technique for image‐guided radiation therapy (IGRT) through the production of virtual monoenergetic images (VMI). CBCT‐VMI can show enhanced image quality, with improved CNR and reduced nonuniformity artifacts, compared to polychromatic images.
Andrew Keeler, Luke Layman, Ha Nguyen, Jason Luce, Mathias Lehmann, John C. Roeske, Hyejoo Kang   +6 more
wiley   +1 more source

Comparative evaluation of the Mayo Clinic Florida microdosimetric kinetic model and mMKM for carbon ion treatment planning: A matRad‐based analysis

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Purpose Modeling relative biological effectiveness (RBE) is central to carbon ion radiotherapy treatment planning. The modified Microdosimetric Kinetic Model (mMKM) is a clinically established RBE framework that has guided treatment protocols at many existing carbon centers, while the Mayo Clinic Florida Microdosimetric Kinetic Model (MCF MKM)
Shannon Hartzell, Sridhar Yaddanapudi, Keith M. Furutani, Alessio Parisi, Xiaoying Liang, Chunjoo Park, Bo Lu, Jun Tan, Lisa Seckler, Remo Cristoforetti, Taku Inaniwa, Niklas Wahl, Chris J. Beltran   +12 more
wiley   +1 more source

Spectral deep learning‐based patient and bowtie scatter correction for clinical photon‐counting CT

Medical Physics, Volume 53, Issue 5, May 2026.
Abstract Background The presence of scatter in computed tomography degrades image quality, and can be caused by the patient and by other components in the beam path, such as the bowtie filter. While conventional energy‐integrating detectors do not provide spectral distinction, photon‐counting (PC) detectors are energy‐selective and provide spectral ...
Lukas Hennemann, Julien Erath, Andreas Heinkele, Eric Fournié, Martin Petersilka, Karl Stierstorfer, Marc Kachelrieß   +6 more
wiley   +1 more source

Dual-energy CT-based virtual monoenergetic imaging via unsupervised learning

Physical and Engineering Sciences in Medicine
Abstract Since its development, virtual monoenergetic imaging (VMI) derived from dual-energy computed tomography (DECT) has been shown to be valuable in many clinical applications. However, DECT-based VMI showed increased noise at low keV levels. In this study, we proposed an unsupervised learning method to generate VMI from DECT.
Chi-Kuang, Liu, Hui-Yu, Chang, Hsuan-Ming, Huang   +2 more
openaire   +2 more sources

Optimization of Posterior Fossa Image Quality Using Virtual Monoenergetic Reconstructions from Dual-Layer Spectral CT

Tomography
Background/Objectives: Beam-hardening artifacts from the skull base reduce image quality in routine non-contrast head CT, particularly in the posterior fossa.
Helena Mellander Oxholm, Veronica Fransson, Björn M. Hansen, Birgitta Ramgren, Kristina Ydström, Teresa Ullberg, Johan Wassélius   +6 more
doaj   +1 more source

Accurate iodine quantification and residual error reduction with principal component analysis multimaterial decomposition using spectral CT

Medical Physics, Volume 53, Issue 4, April 2026.
Abstract Background Multimaterial decomposition (MMD) in dual‐energy CT enables iodine quantification, critical for diagnostic applications. However, residual errors from noniodine materials in iodine maps limit accuracy, especially in complex thoracic regions and low‐dose settings.
Hamidreza Khodajou‐Chokami, Huanjun Ding, Sabee Molloi   +2 more
wiley   +1 more source