Article
Radiology, Nuclear Medicine & Medical Imaging
Fides R. R. Schwartz, Darin P. P. Clark, Francesca Rigiroli, Kevin Kalisz, Benjamin Wildman-Tobriner, Sarah Thomas, Joshua Wilson, Cristian T. T. Badea, Daniele Marin
Summary: This study evaluated a novel algorithm for noise reduction in obese patients using dual-source dual-energy CT imaging. Seventy-nine patients were included in the retrospective study, comparing the standard clinical algorithm with two new algorithms in terms of image contrast-to-noise ratio, quality, and diagnostic comfort. The results showed that the test algorithm produced higher image quality and was preferred by readers.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sean Carey, Sonja Kandel, Christin Farrell, John Kavanagh, TaeBong Chung, William Hamilton, Patrik Rogalla
Summary: A novel thick-slab projection technique for ultra-low dose computed tomography (CT) was compared with conventional chest x ray in 13 diagnostic categories. The study found that the thoracic tomogram was diagnostically superior to CXR for focal lung disease, but the difference was not significant for non-focal lung disease and effusions.
Article
Medicine, General & Internal
Andra Heinrich, Felix Streckenbach, Ebba Beller, Justus Gross, Marc-Andre Weber, Felix G. Meinel
Summary: By analyzing the image quality of aortic CT angiography, it was found that the DLIR algorithm can significantly reduce image noise, improve SNR and CNR compared to ASIR-V, and the subjective image quality has also been significantly improved.
Article
Radiology, Nuclear Medicine & Medical Imaging
Vitali Koch, Ibrahim Yel, Leon D. Gruenewald, Sebastian Beckers, Iris Burck, Lukas Lenga, Simon S. Martin, Christoph Mader, Julian L. Wichmann, Moritz H. Albrecht, Katrin Eichler, Tatjana Gruber-Rouh, Tommaso D'Angelo, Silvio Mazziotti, Giorgio Ascenti, Thomas J. Vogl, Christian Booz
Summary: The study found that dual-energy CT (DECT) virtual noncalcium (VNCa) reconstructions demonstrated higher diagnostic accuracy and confidence in assessing thoracic disk herniation compared to standard CT.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mary E. Hall, Marianne S. Black, Garry E. Gold, Marc E. Levenston
Summary: The study demonstrated the utility of a 2D watershed algorithm for accurately identifying cartilage boundaries in CT arthrograms of the knee, even with increasing boundary blurring. The results indicated that the watershed lines were closer to the cartilage surface in areas where soft tissues were in direct contact with each other.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Andreas Steven Kunz, Jonas Schmalzl, Henner Huflage, Karsten Sebastian Luetkens, Theresa Sophie Patzer, Philipp Josef Kuhl, Philipp Gruschwitz, Bernhard Petritsch, Rainer Schmitt, Thorsten Alexander Bley, Jan -Peter Grunz
Summary: The study compared the diagnostic performance of gantry-free cone-beam CT (CBCT) with two-dimensional radiography in acute elbow trauma. The results showed that CBCT had higher sensitivity in detecting fractures, articular involvement, and multi-fragmentary patterns compared to radiography. The use of CBCT data also significantly improved the diagnostic confidence of the readers.
Article
Medicine, General & Internal
Janna Morawitz, Ole Martin, Johannes Boos, Lino M. Sawicki, Katrin Wingendorf, Martin Sedlmair, Eduards Mamlins, Christina Antke, Gerald Antoch, Benedikt M. Schaarschmidt
Summary: This study evaluated the impact of different metal artifact reduction algorithms on normal organs in patients with metal implants. The results showed that these algorithms do not alter the data information of normal organs not affected by artifacts.
Article
Pharmacology & Pharmacy
Sebastian Bollmann, Peter Kleinebudde
Summary: The study aimed to prove the transferability of image processing methods and develop an approach to select probable favorable image processing approaches to accelerate the evaluation process. The analysis of previously evaluated data showed the robustness of image processing and led to the development of a predictive rule set, which was successfully applied to new binary mixture images.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ju Gang Nam, Joseph Nathanael Witanto, Sang Joon Park, Seung Jin Yoo, Jin Mo Goo, Soon Ho Yoon
Summary: A deep learning-based pulmonary vessel segmentation algorithm was developed and successfully applied in COPD patients, demonstrating promising clinical applicability in assessing vascular remodeling. The algorithm effectively segmented pulmonary vessels in noncontrast chest CT images, and showed high accuracy in intravascular and extravascular points segmentation.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Simon Lennartz, Aileen O'Shea, Anushri Parakh, Thorsten Persigehl, Bettina Baessler, Avinash Kambadakone
Summary: The study found low robustness of radiomic features extracted from different DECT scanners in patients, with few robust features and limited reflection in phantom experiments. Future efforts should focus on improving the cross-platform generalizability of DECT-derived radiomics.
EUROPEAN RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Joel Greffier, Quentin Durand, Julien Frandon, Salim Si-Mohamed, Maeliss Loisy, Fabien de Oliveira, Jean-Paul Beregi, Djamel Dabli
Summary: This study assessed the impact of a new AI reconstruction algorithm (AI-DLR) on image quality in abdominal CT. The results showed that using AI-DLR improved image quality, detectability of lesions, and spatial resolution. The Smooth level was found to be the best compromise between the lowest dose level and adequate image quality.
EUROPEAN RADIOLOGY
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Norbert J. Pelc, David A. Chesler
Summary: This paper aims to describe the early introduction of CT imaging at Massachusetts General Hospital (MGH), with the installation of the first CT scanner in 1973, and the preceding CT research work and related accomplishments.
Article
Radiology, Nuclear Medicine & Medical Imaging
Hubert Beaumont, Antoine Iannessi, Jean Michel Cucchi, Anne-Sophie Bertand, Olivier Lucidarme
Summary: The study suggests that there is a linear correlation in intra-scan measurements between different tissues in CT scans, which can help improve tissue characterization and harmonization across different scanning sites.
EUROPEAN RADIOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Xi Tao, Yongbo Wang, Liyan Lin, Zixuan Hong, Jianhua Ma
Summary: The study trains DNN to reconstruct CT images from VVBP-Tensor, providing lossless information and preserving fine details. The learning strategy can be seen as a generalization of conventional methods and potentially inspire algorithm development. The VVBP-Tensor domain learning framework shows significant improvement over traditional image and projection-based learning frameworks.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiu-Zhi Zhou, Kuan Lu, Du-Chang Zhai, Man -Man Cui, Yan Liu, Ting-Ting Wang, Dai Shi, Guo-Hua Fan, Sheng-Hong Ju, Wu Cai
Summary: This study aimed to evaluate the image quality and diagnostic accuracy of CTA images derived from CTP data and explore the possibility of replacing conventional CTA. The results showed that CTA-DF-CTP data provided similar diagnostic accuracy and image quality to conventional CTA in head and neck CTA.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Geosciences, Multidisciplinary
Lennart V. de Groot, Karl Fabian, Annemarieke Beguin, Pim Reith, Auke Barnhoorn, Hans Hilgenkamp
GEOPHYSICAL RESEARCH LETTERS
(2018)
Article
Geochemistry & Geophysics
Auke Barnhoorn, Jeroen Verheij, Marcel Frehner, Alimzhan Zhubayev, Maartje Houben
Article
Geochemistry & Geophysics
Wouter van der Wal, Auke Barnhoorn, Paolo Stocchi, Sofie Gradmann, Patrick Wu, Martyn Drury, Bert Vermeersen
GEOPHYSICAL JOURNAL INTERNATIONAL
(2013)
Article
Geochemistry & Geophysics
Auke Barnhoorn, Wouter Van der Wal, Martyn R. Drury
JOURNAL OF GEODYNAMICS
(2011)
Editorial Material
Geosciences, Multidisciplinary
Come Lefebvre, Auke Barnhoorn, Douwe J. J. van Hinsbergen, Nuretdin Kaymakci, Reinoud L. M. Vissers
JOURNAL OF STRUCTURAL GEOLOGY
(2012)
Article
Geochemistry & Geophysics
Evert L. Duran, Ludmila Adam, Irene C. Wallis, Auke Barnhoorn
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2019)
Article
Geochemistry & Geophysics
Lisanne A. N. R. Douma, Jeremie Dautriat, Joel Sarout, David N. Dewhurst, Auke Barnhoorn
Article
Geosciences, Multidisciplinary
James Gilgannon, Thomas Poulet, Alfons Berger, Auke Barnhoorn, Marco Herwegh
GEOPHYSICAL RESEARCH LETTERS
(2020)
Article
Geochemistry & Geophysics
Reuben Zotz-Wilson, Lisanne A. N. R. Douma, Joel Sarout, Jeremie Dautriat, David Dewhurst, Auke Barnhoorn
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2020)
Article
Geochemistry & Geophysics
Christian Kluge, Guido Bloecher, Hannes Hofmann, Auke Barnhoorn, Jean Schmittbuhl, David Bruhn
Summary: The study focuses on the hydraulic performance and mechanical stability of open fractures in low-permeability sandstones. The experiments reveal that cyclic loading significantly affects the stiffness of fractures, leading to a nonlinear behavior in stiffness with increasing stress cycles. This transition is related to a stress memory effect and may impact the permeability of fractures under cyclic loading compared to continuous loading.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Geochemistry & Geophysics
Lennart Groot, Karl Fabian, Annemarieke Beguin, Martha E. Kosters, David Cortes-Ortuno, Roger R. Fu, Chloe M. L. Jansen, Richard J. Harrison, Tristan Leeuwen, Auke Barnhoorn
Summary: The combination of X-ray computed tomography and magnetic surface scanning measurements allows for the determination of magnetizations of individual grains in a sample. The new Micromagnetic Tomography (MMT) technique opens up new avenues for paleomagnetic and rock-magnetic research by systematically analyzing how geological materials record and retain information on the past state of the Earth's magnetic field in a nondestructive way. MMT has the potential to unlock paleomagnetic information from even the most complex, crucial, or valuable recorders that current methods are unable to recover by interpreting only the contributions of known magnetically well-behaved grains in a sample.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Environmental Sciences
S. de Hoop, D. V. Voskov, G. Bertotti, A. Barnhoorn
Summary: Fracture networks are common in subsurface applications and their complex structure poses challenges for flow and transport modeling. This study introduces an advanced simulation methodology that simplifies fracture networks and improves simulation accuracy and efficiency. The automatic preprocessing framework and fracture aperture correction are the key innovations of this work.
WATER RESOURCES RESEARCH
(2022)
Article
Energy & Fuels
Martijn T. G. Janssen, Deyan Draganov, Auke Barnhoorn, Karl-Heinz A. A. Wolf
Summary: A seismic velocity characterisation study was conducted to investigate the feasibility of re-injection and storage of produced CO2 in a geothermal field. The study examined the effect of stress, pore pressure, pore fluid, and temperature on seismic properties. It was found that the velocity increased with stress, but the increase was more significant at lower stresses. The velocity was also influenced by temperature, with higher temperatures resulting in lower P-wave velocities. The S-wave velocity was more sensitive to changes in pore pressure compared to the P-wave velocity. Nonlinear regression analysis revealed polynomial trends for the velocities as a function of temperature, stress, and pore pressure. However, distinguishing between different fluid saturations in fractures was challenging due to the small fracture aperture.
Article
Geochemistry & Geophysics
James Gilgannon, Marius Waldvogel, Thomas Poulet, Florian Fusseis, Alfons Berger, Auke Barnhoorn, Marco Herwegh
Summary: The experiments demonstrate the spontaneous emergence of periodic porous sheets in deep shear zones, challenging conventional expectations of how viscosity in solid rocks operates. The suggestion to update the general model for deep shear zones to include creep cavitation would have significant implications for important solid Earth topics involving viscosity in Earth materials.