Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement

Authors: Dwarikanath Mahapatra, Antonio Jimeno Yepes, Behzad Bozorgtabar, Sudipta Roy, Zongyuan Ge, Mauricio Reyes

Source: IEEE transactions on medical imaging, vol. 44, no. 1, pp. 31-43

Subject Terms: Databases, Factual, Humans, Radiographic Image Interpretation, Computer-Assisted, Radiography, Thoracic, Radiography, Thoracic/methods, Algorithms, Radiographic Image Interpretation, Computer-Assisted/methods, Supervised Machine Learning

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39018216
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_8DB65F449C583
https://serval.unil.ch/resource/serval:BIB_8DB65F449C58.P001/REF.pdf
https://serval.unil.ch/notice/serval:BIB_8DB65F449C58

Ultra-high-resolution 40 keV virtual monoenergetic imaging using spectral photon-counting CT in high-risk patients for coronary stenoses

Authors: Guillaume Fahrni, Sara Boccalini, Hugo Lacombe, Fabien de Oliveira, Angèle Houmeau, Florie Francart, Marjorie Villien, David C. Rotzinger, Antoine Robert, Philippe Douek, Salim A. Si-Mohamed

Contributors: Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Source: Eur Radiol
European radiology, vol. 35, no. 6, pp. 3042-3053

Subject Terms: Male, Photons, Computed Tomography Angiography, Humans, Female, Coronary Stenosis/diagnostic imaging, Middle Aged, Prospective Studies, Computed Tomography Angiography/methods, Aged, Coronary Angiography/methods, Radiographic Image Interpretation, Computer-Assisted/methods, Artifacts, Tomography, X-Ray Computed/methods, Radiography, Dual-Energy Scanned Projection/methods, Comparative study, Coronary arteries, Diagnosis, Image enhancement, Multidetector computed tomography, Coronary Stenosis, Coronary Angiography, Radiography, Dual-Energy Scanned Projection, 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed, Cardiac

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39661149
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_53DB72AB64262
https://serval.unil.ch/notice/serval:BIB_53DB72AB6426
https://serval.unil.ch/resource/serval:BIB_53DB72AB6426.P001/REF.pdf

Carotid artery assessment in dual-source photon-counting CT: impact of low-energy virtual monoenergetic imaging on image quality, vascular contrast and diagnostic assessability: impact of low-energy virtual monoenergetic imaging on image quality, vascular contrast and diagnostic assessability

Authors: Booz, Christian, Bucolo, Giuseppe M, D'Angelo, Tommaso, Mazziotti, Silvio, Lanzafame, Ludovica, Yel, Ibrahim, Alizadeh, Leona S, Gruenewald, Leon D, Koch, Vitali, Martin, Simon S, Dimitrova, Mirela, Goekduman, Aynur, Vogl, Thomas J, Kaatsch, Hanns L, Overhoff, Daniel, Waldeck, Stephan

Source: Radiol Med

Subject Terms: Male, Aged, 80 and over, Adult, Female [MeSH], Aged, 80 and over [MeSH], Carotid arteries, Aged [MeSH], Photon-counting CT, Adult [MeSH], Dual-energy CT, Signal-To-Noise Ratio [MeSH], Humans [MeSH], Retrospective Studies [MeSH], Computed Tomography Angiography/methods [MeSH], Middle Aged [MeSH], Tomography, X-Ray Computed/methods [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Contrast Media [MeSH], Carotid Arteries/diagnostic imaging [MeSH], Virtual monoenergetic imaging, Male [MeSH], Computed Tomography, Radiography, Dual-Energy Scanned Projection/methods [MeSH], Computed Tomography Angiography, Contrast Media, Middle Aged, Signal-To-Noise Ratio, Radiography, Dual-Energy Scanned Projection, Carotid Arteries, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Tomography, X-Ray Computed, Retrospective Studies, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/39287697
https://repository.publisso.de/resource/frl:6519283

Textural heterogeneity of liver lesions in CT imaging - comparison of colorectal and pancreatic metastases

Authors: Friedrich L. Pietsch, Florian Haag, Isabelle Ayx, Freba Grawe, Abhinay K. Vellala, Stefan O. Schoenberg, Matthias F. Froelich, Hishan Tharmaseelan

Source: Abdom Radiol (NY)

Subject Terms: Male, Adult, Aged, 80 and over, 0301 basic medicine, Liver Neoplasms, Contrast Media, Middle Aged, Pancreatic Neoplasms, 03 medical and health sciences, 0302 clinical medicine, Female [MeSH], Pancreas, Computed tomography, Aged, 80 and over [MeSH], Aged [MeSH], Liver Neoplasms/diagnostic imaging [MeSH], Pancreatic Neoplasms/pathology [MeSH], Colorectum, Adult [MeSH], Hepatobiliary, Humans [MeSH], Retrospective Studies [MeSH], Middle Aged [MeSH], Tomography, X-Ray Computed/methods [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Pancreatic Neoplasms/diagnostic imaging [MeSH], Contrast Media [MeSH], Radiomics, Tumoral Heterogeneity, Male [MeSH], Tumor/Oncology, Liver Neoplasms/secondary [MeSH], Colorectal Neoplasms/pathology [MeSH], Colorectal Neoplasms/diagnostic imaging [MeSH], Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Colorectal Neoplasms, Tomography, X-Ray Computed, Retrospective Studies, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/39115682
https://repository.publisso.de/resource/frl:6502305

Optimization of window settings for coronary arteries assessment using spectral CT-derived virtual monoenergetic imaging

Authors: D'Angelo, Tommaso, Mastrodicasa, Domenico, Lanzafame, Ludovica, Yel, Ibrahim, Koch, Vitali, Gruenewald, Leon D, Sharma, Simran P, Ascenti, Velio, Micari, Antonino, Blandino, Alfredo, Vogl, Thomas J, Mazziotti, Silvio, Budde, Ricardo P J, Booz, Christian

Source: Radiol Med

Subject Terms: Male, Computed Tomography Angiography, Computed tomography angiography, Computer-Assisted, Dual-Energy X-Ray absorptiometry, Image interpretation, Coronary Artery Disease, Middle Aged, Coronary Vessels/diagnostic imaging [MeSH], Female [MeSH], Aged [MeSH], Humans [MeSH], Retrospective Studies [MeSH], Computed Tomography Angiography/methods [MeSH], Middle Aged [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Cardiac Radiology, Coronary Angiography/methods [MeSH], Male [MeSH], Coronary Artery Disease/diagnostic imaging [MeSH], Coronary Angiography, Coronary Vessels, 03 medical and health sciences, 0302 clinical medicine, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Retrospective Studies, Aged

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/38935247
https://pure.eur.nl/en/publications/b0e79b20-e730-4a52-8f41-5c71d6fa92af
https://doi.org/10.1007/s11547-024-01835-6
https://hdl.handle.net/2434/1184282
https://doi.org/10.1007/s11547-024-01835-6
https://repository.publisso.de/resource/frl:6521859
https://link.springer.com/article/10.1007/s11547-024-01835-6
https://doi.org/10.1007/s11547-024-01835-6
https://hdl.handle.net/11570/3304509

Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessment

Authors: Reza Dehdab, Andreas Brendlin, Sebastian Werner, Haidara Almansour, Sebastian Gassenmaier, Jan Michael Brendel, Konstantin Nikolaou, Saif Afat

Source: Jpn J Radiol

Subject Terms: Male, Lung Neoplasms, SARS-CoV-2, Pneumonia, Viral, COVID-19, Reproducibility of Results, Carcinoma, Non-Small-Cell Lung/diagnostic imaging [MeSH], ChatGPT-4V, Aged [MeSH], Computer-aided diagnosis (CAD), Tomography, X-Ray Computed/methods [MeSH], Original Article, Sensitivity and Specificity [MeSH], Male [MeSH], Pneumonia, Viral/diagnostic imaging [MeSH], COVID-19/diagnostic imaging [MeSH], SARS-CoV-2 [MeSH], Female [MeSH], Lung Neoplasms/diagnostic imaging [MeSH], Computed tomography, Humans [MeSH], Coronavirus Infections/diagnostic imaging [MeSH], Retrospective Studies [MeSH], AI (artificial intelligence), Middle Aged [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Lung/diagnostic imaging [MeSH], Pandemics [MeSH], Reproducibility of Results [MeSH], Radiography, Thoracic/methods [MeSH], 02 engineering and technology, Middle Aged, Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, Carcinoma, Non-Small-Cell Lung, 0202 electrical engineering, electronic engineering, information engineering, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Radiography, Thoracic, Tomography, X-Ray Computed, Coronavirus Infections, Lung, Pandemics, Retrospective Studies, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/38867035
https://repository.publisso.de/resource/frl:6495385

Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow

Authors: Alessa Hering, Max Westphal, Annika Gerken, Haidara Almansour, Michael Maurer, Benjamin Geisler, Temke Kohlbrandt, Thomas Eigentler, Teresa Amaral, Nikolas Lessmann, Sergios Gatidis, Horst Hahn, Konstantin Nikolaou, Ahmed Othman, Jan Moltz, Felix Peisen

Source: Int J Comput Assist Radiol Surg
International Journal of Computer Assisted Radiology and Surgery, 19, 9, pp. 1689-1697

Subject Terms: Observer Variation, Skin Neoplasms, Soft Tissue Neoplasms, Workflow, 3. Good health, Artificial Intelligence, Lymphatic Metastasis, Medical Imaging - Radboud University Medical Center, Observer Variation [MeSH], Longitudinal CT scans, Workflow [MeSH], Humans [MeSH], Retrospective Studies [MeSH], Tomography, X-Ray Computed/methods [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Oncology, Artificial Intelligence [MeSH], Original Article, Lymphatic Metastasis/diagnostic imaging [MeSH], Neoplasm Staging [MeSH], Melanoma/diagnostic imaging [MeSH], Image registration, AI-assisted reading, Skin Neoplasms/diagnostic imaging [MeSH], Lesion segmentation, Soft Tissue Neoplasms/diagnostic imaging [MeSH], Humans, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed, Melanoma, Neoplasm Staging, Retrospective Studies

Access URL: https://pubmed.ncbi.nlm.nih.gov/38814528
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/310257
https://repository.ubn.ru.nl//bitstream/handle/2066/310257/310257.pdf
https://hdl.handle.net/2066/310257
https://repository.publisso.de/resource/frl:6506315

Photon-counting detector computed tomography for metal artifact reduction: a comparative study of different artifact reduction techniques in patients with orthopedic implants

Authors: Fabian Bernhard Pallasch, Alexander Rau, Marco Reisert, Stephan Rau, Thierno Diallo, Thomas Stein, Sebastian Faby, Fabian Bamberg, Jakob Weiss

Source: Radiol Med

Subject Terms: Male, Aged, 80 and over, Photons, Prostheses and Implants, Middle Aged, 03 medical and health sciences, Computed Tomography, 0302 clinical medicine, Metals, Female [MeSH], Aged, 80 and over [MeSH], Image processing, Aged [MeSH], Humans [MeSH], Prospective Studies [MeSH], Artifacts [MeSH], Middle Aged [MeSH], Tomography, X-Ray Computed/methods [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Metals [MeSH], Prostheses and Implants [MeSH], Multidetector computed tomography, Photons [MeSH], Artifacts, Male [MeSH], Arthroplasty, replacement, hip, Spine, Computer-assisted, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Prospective Studies, Tomography, X-Ray Computed, Aged

File Description: pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/38689182
https://repository.publisso.de/resource/frl:6516924

Radiomics and machine learning for renal tumor subtype assessment using multiphase computed tomography in a multicenter setting

Authors: Annemarie Uhlig, Johannes Uhlig, Andreas Leha, Lorenz Biggemann, Sophie Bachanek, Michael Stöckle, Mathias Reichert, Joachim Lotz, Philip Zeuschner, Alexander Maßmann

Contributors: Uhlig, Annemarie, Uhlig, Johannes, Leha, Andreas, Biggemann, Lorenz, Bachanek, Sophie, Stöckle, Michael, Reichert, Mathias, Lotz, Joachim, Zeuschner, Philip, Maßmann, Alexander

Source: Eur Radiol

Subject Terms: Male, Adult, Carcinoma, Renal Cell/diagnostic imaging [MeSH], Algorithms [MeSH], Female [MeSH], Machine learning, Aged [MeSH], Adult [MeSH], Humans [MeSH], Retrospective Studies [MeSH], Middle Aged [MeSH], Tomography, X-Ray Computed/methods [MeSH], Kidney Neoplasms/diagnostic imaging [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Urogenital, Radiomics, Multidetector computed tomography, Male [MeSH], Renal cell carcinoma, Machine Learning [MeSH], Radiomics [MeSH], Computers, Middle Aged, Kidney Neoplasms, 3. Good health, Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Tomography, X-Ray Computed, Carcinoma, Renal Cell, Algorithms, Retrospective Studies, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/38634876
https://resolver.sub.uni-goettingen.de/purl?gro-2/143206
https://repository.publisso.de/resource/frl:6518975

Imaging of intracranial hemorrhage in photon counting computed tomography using virtual monoenergetic images

Authors: Denise Schoenbeck, Alexander Sacha, Julius Henning Niehoff, Christoph Moenninghoff, Jan Borggrefe, Sebastian Horstmeier, Alexey Surov, Iram Shahzadi, Ulrich Knappe, Jan Robert Kroeger, Arwed Elias Michael

Source: Neuroradiology

Subject Terms: Radiography, Dual-Energy Scanned Projection, ddc:610, 03 medical and health sciences, 0302 clinical medicine, Computed tomography, Photon counting computed tomography, Intracranial hemorrhage, Signal-To-Noise Ratio [MeSH], Humans [MeSH], Retrospective Studies [MeSH], Tomography, X-Ray Computed/methods [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Image quality, Photon counting detector, Intracranial Hemorrhages/diagnostic imaging [MeSH], Radiography, Dual-Energy Scanned Projection/methods [MeSH], Diagnostic Neuroradiology, Humans, Radiographic Image Interpretation, Computer-Assisted, Signal-To-Noise Ratio, Tomography, X-Ray Computed, Intracranial Hemorrhages, Retrospective Studies

File Description: application/pdf; application/vnd.openxmlformats-officedocument.wordprocessingml.document

Access URL: https://pubmed.ncbi.nlm.nih.gov/38411902
https://hss-opus.ub.ruhr-uni-bochum.de/opus4/frontdoor/index/index/docId/11147
https://nbn-resolving.org/urn:nbn:de:hbz:294-111470
https://hss-opus.ub.ruhr-uni-bochum.de/opus4/files/11147/MichaelArwedElias27022024.pdf
https://hss-opus.ub.ruhr-uni-bochum.de/opus4/files/11147/MichaelArwedElias27022024S.docx
https://repository.publisso.de/resource/frl:6517510

An overview of the performance of AI in fracture detection in lumbar and thoracic spine radiographs on a per vertebra basis

Authors: J., Oppenheimer, S., Lüken, S., Geveshausen, B., Hamm, S. M., Niehues

Source: Skeletal Radiol

Subject Terms: Male, Adult, Aged, 80 and over, Lumbar Vertebrae, Middle Aged, Sensitivity and Specificity, Thoracic Vertebrae, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, Fractures, Compression, Humans, Spinal Fractures, Radiographic Image Interpretation, Computer-Assisted, Scientific Article, Female, Algorithms, Fractures, Compression/diagnostic imaging [MeSH], Algorithms [MeSH], Female [MeSH], Thoracic Vertebrae/injuries [MeSH], Computer-aided diagnosis, Aged, 80 and over [MeSH], Aged [MeSH], Adult [MeSH], Humans [MeSH], Lumbar Vertebrae/injuries [MeSH], Artificial intelligence, Retrospective Studies [MeSH], Middle Aged [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Trauma, Radiography, Artificial Intelligence [MeSH], Sensitivity and Specificity [MeSH], Thoracic Vertebrae/diagnostic imaging [MeSH], Male [MeSH], Lumbar Vertebrae/diagnostic imaging [MeSH], Spinal Fractures/diagnostic imaging [MeSH], Retrospective Studies, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/38413400
https://repository.publisso.de/resource/frl:6519511

Photon-Counting Detector CT for Liver Lesion Detection—Optimal Virtual Monoenergetic Energy for Different Simulated Patient Sizes and Radiation Doses

Authors: Racine, Damien, Mergen, Victor, Viry, Anaïs, Frauenfelder, Thomas, Alkadhi, Hatem, Vitzthum, Veronika, Euler, André

Contributors: University of Zurich

Source: Investigative radiology, vol. 59, no. 8, pp. 554-560

Subject Terms: Photons, 10042 Clinic for Diagnostic and Interventional Radiology, Phantoms, Imaging, Liver Neoplasms, Reproducibility of Results, 610 Medicine & health, Radiation Dosage, Sensitivity and Specificity, Humans, Tomography, X-Ray Computed/methods, Tomography, X-Ray Computed/instrumentation, Liver Neoplasms/diagnostic imaging, Liver Neoplasms/radiotherapy, Body Size, Radiographic Image Interpretation, Computer-Assisted/methods, Liver/diagnostic imaging, Liver, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed

File Description: application/pdf; photon_counting_detector_ct_for_liver_lesion.189.pdf - application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/38193782
https://serval.unil.ch/resource/serval:BIB_A1E9D7033F78.P001/REF.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_A1E9D7033F787
https://serval.unil.ch/notice/serval:BIB_A1E9D7033F78

Reduction of contrast medium for transcatheter aortic valve replacement planning using a spectral detector CT: a prospective clinical trial

Authors: Isabel L. Langenbach, Marcel C. Langenbach, Thomas Mayrhofer, Borek Foldyna, David Maintz, Konstantin Klein, Hendrik Wienemann, Kathrin B. Krug, Martin Hellmich, Matti Adam, Claas P. Naehle

Source: Eur Radiol

Subject Terms: Male, Aged, 80 and over, Iohexol, Contrast Media, Aortic Valve Stenosis, Signal-To-Noise Ratio, 3. Good health, Transcatheter Aortic Valve Replacement, Aortic Valve Stenosis/diagnostic imaging [MeSH], Female [MeSH], Cardiac, Tomography (X-ray computed), Aged, 80 and over [MeSH], Aged [MeSH], Signal-To-Noise Ratio [MeSH], Humans [MeSH], Prospective Studies [MeSH], Tomography, X-Ray Computed/methods [MeSH], Aortic valve stenosis, Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Contrast Media [MeSH], Aortic valve, Iohexol/analogs, Male [MeSH], Transcatheter Aortic Valve Replacement/methods [MeSH], Transcatheter aortic valve replacement, Aortic Valve Stenosis/surgery [MeSH], Contrast media, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Prospective Studies, Tomography, X-Ray Computed, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/37979008
https://repository.publisso.de/resource/frl:6508761

Impact of different metal artifact reduction techniques in photon-counting computed tomography head and neck scans in patients with dental hardware

Authors: Fabian Bernhard Pallasch, Alexander Rau, Marco Reisert, Stephan Rau, Thierno Diallo, Thomas Stein, Sebastian Faby, Fabian Bamberg, Jakob Weiss

Source: Eur Radiol

Subject Terms: Male, Dental Implants, Aged, 80 and over, Photons, Middle Aged, Algorithms [MeSH], Female [MeSH], Aged, 80 and over [MeSH], Aged [MeSH], Dental Implants [MeSH], Humans [MeSH], Prospective Studies [MeSH], Artifacts [MeSH], Middle Aged [MeSH], Tomography, X-Ray Computed/methods [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Neck/diagnostic imaging [MeSH], Metals [MeSH], Head/diagnostic imaging [MeSH], Multidetector computed tomography, Photons [MeSH], Artifacts, Head and neck neoplasms, Male [MeSH], Image processing (Computer-assisted), Dental implants, Computed Tomography, Metals, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Prospective Studies, Tomography, X-Ray Computed, Head, Algorithms, Neck, Aged

File Description: pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/37968474
https://repository.publisso.de/resource/frl:6524704

Influence of CT dose reduction on AI-driven malignancy estimation of incidental pulmonary nodules

Authors: Alan A. Peters, Justin B. Solomon, Oyunbileg von Stackelberg, Ehsan Samei, Njood Alsaihati, Waldo Valenzuela, Manuel Debic, Christian Heidt, Adrian T. Huber, Andreas Christe, Johannes T. Heverhagen, Hans-Ulrich Kauczor, Claus P. Heussel, Lukas Ebner, Mark O. Wielpütz

Source: Eur Radiol
Peters, Alan A.; Solomon, Justin B.; von Stackelberg, Oyunbileg; Samei, Ehsan; Alsaihati, Njood; Valenzuela, Waldo; Debic, Manuel; Heidt, Christian; Huber, Adrian T.; Christe, Andreas; Heverhagen, Johannes T.; Kauczor, Hans-Ulrich; Heussel, Claus P.; Ebner, Lukas; Wielpütz, Mark O. (2024). Influence of CT dose reduction on AI-driven malignancy estimation of incidental pulmonary nodules. European radiology, 34(5), pp. 3444-3452. Springer 10.1007/s00330-023-10348-1 <http://dx.doi.org/10.1007/s00330-023-10348-1>

Subject Terms: Male, Female [MeSH], Lung Neoplasms/diagnostic imaging [MeSH], Aged [MeSH], Humans [MeSH], Lung neoplasms, Chest, Artificial intelligence, Radiation dosage, Retrospective Studies [MeSH], Middle Aged [MeSH], Tomography, X-Ray Computed/methods [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Incidental Findings [MeSH], Neural Networks, Computer [MeSH], Male [MeSH], Multiple Pulmonary Nodules/diagnostic imaging [MeSH], Solitary Pulmonary Nodule/diagnostic imaging [MeSH], Computer simulation, Radiation Dosage [MeSH], Incidental Findings, Lung Neoplasms, Solitary Pulmonary Nodule, 610 Medicine & health, Middle Aged, Radiation Dosage, 3. Good health, Humans, Multiple Pulmonary Nodules, Radiographic Image Interpretation, Computer-Assisted, Female, Neural Networks, Computer, Tomography, X-Ray Computed, Aged, Retrospective Studies

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/37870625
https://boris.unibe.ch/187374/
https://repository.publisso.de/resource/frl:6498183

Improvement of Neurovascular Imaging Using Ultra-High-Resolution Computed Tomography Angiography

Authors: Ucar, Felix A., Frenzel, Marius, Kronfeld, Andrea, Altmann, Sebastian, Sanner, Antoine P., Abello Mercado, Mario Alberto, Uphaus, Timo, Brockmann, Marc A., Othman, Ahmed E.

Contributors: Johannes Gutenberg-Universität Mainz

Source: Clin Neuroradiol

Subject Terms: 2. Zero hunger, ddc:610, Computed Tomography Angiography, 610 Medizin, Angiography, Signal-To-Noise Ratio, Radiation Dosage, 3. Good health, Resolution, Computed tomography, Computed tomography angiography, Signal-To-Noise Ratio [MeSH], Humans [MeSH], Retrospective Studies [MeSH], Computed Tomography Angiography/methods [MeSH], Image enhancement, Tomography, X-Ray Computed/methods [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Angiography [MeSH], Original Article, Cerebral arteries, Radiation Dosage [MeSH], 610 Medical sciences, Humans, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed, Retrospective Studies

File Description: text

Access URL: https://pubmed.ncbi.nlm.nih.gov/37831106
https://openscience.ub.uni-mainz.de/handle/20.500.12030/9797
https://doi.org/10.25358/openscience-9779
https://tuprints.ulb.tu-darmstadt.de/28675/1/s00062-023-01348-1.pdf
https://repository.publisso.de/resource/frl:6506441

Optimal conspicuity of pancreatic ductal adenocarcinoma in virtual monochromatic imaging reconstructions on a photon-counting detector CT: comparison to conventional MDCT

Authors: Josua A. Decker, Judith Becker, Mark Härting, Bertram Jehs, Franka Risch, Luca Canalini, Claudia Wollny, Christian Scheurig-Muenkler, Thomas Kroencke, Florian Schwarz, Stefanie Bette

Source: Abdom Radiol (NY)

Subject Terms: Male, ddc:610, Signal-To-Noise Ratio, 3. Good health, Radiography, Dual-Energy Scanned Projection, Pancreatic Neoplasms, Pancreas, Aged [MeSH], Signal-To-Noise Ratio [MeSH], Humans [MeSH], Retrospective Studies [MeSH], Tomography, X-Ray Computed/methods [MeSH], Contrast-enhanced CT, Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Pancreatic Neoplasms/diagnostic imaging [MeSH], Virtual monoenergetic imaging, Male [MeSH], Pancreatic ductal adenocarcinoma, Carcinoma, Pancreatic Ductal/diagnostic imaging [MeSH], Photon-counting detector computed tomography, Radiography, Dual-Energy Scanned Projection/methods [MeSH], Humans, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed, Aged, Retrospective Studies, Carcinoma, Pancreatic Ductal

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/37796327
https://opus.bibliothek.uni-augsburg.de/opus4/files/108779/s00261-023-04042-5.pdf
https://doi.org/10.1007/s00261-023-04042-5
https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-1087790
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/108779
https://repository.publisso.de/resource/frl:6502578

Technical feasibility of automated blur detection in digital mammography using convolutional neural network

Authors: S. Nowakowska, V. Vescoli, T. Schnitzler, C. Ruppert, K. Borkowski, A. Boss, C. Rossi, B. Wein, A. Ciritsis

Source: Eur Radiol Exp
European Radiology Experimental, Vol 8, Iss 1, Pp 1-11 (2024)

Subject Terms: Artificial intelligence, Digital mammography, Image processing (computer-assisted), R895-920, Deep learning, Breast Neoplasms, Quality assurance, Medical physics. Medical radiology. Nuclear medicine, 03 medical and health sciences, 0302 clinical medicine, Humans, Feasibility Studies, Radiographic Image Interpretation, Computer-Assisted, Breast Neoplasms/diagnostic imaging [MeSH], Female [MeSH], Humans [MeSH], Retrospective Studies [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Feasibility Studies [MeSH], Neural Networks, Computer [MeSH], Original Article, Mammography/methods [MeSH], Female, Neural Networks, Computer, Mammography, Retrospective Studies

Access URL: https://pubmed.ncbi.nlm.nih.gov/39556167
https://doaj.org/article/9df92b2de5ac4045b6238d22d2f0d24e
https://repository.publisso.de/resource/frl:6518274

Nonenhanced Photon Counting CT of the Head: Impact of the keV Level, Iterative Reconstruction and Calvaria on Image Quality in Monoenergetic Images

Authors: Arwed Elias Michael, Denise Schoenbeck, Matthias Michael Woeltjen, Jan Boriesosdick, Jan Robert Kroeger, Christoph Moenninghoff, Sebastian Horstmeier, Julius Henning Niehoff, Christoph Kabbasch, Lukas Goertz, Jan Borggrefe

Source: Clin Neuroradiol

Subject Terms: Radiography, Dual-Energy Scanned Projection, Computed tomography, Humans [MeSH], Skull/diagnostic imaging [MeSH], Iterative reconstruction, Retrospective Studies [MeSH], Tomography, X-Ray Computed/methods [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Original Article, Quantum iterative reconstruction, Photon counting detector, Virtual monoenergetic images, Radiography, Dual-Energy Scanned Projection/methods [MeSH], Nonenhanced CT of the head, Skull, Humans, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed, Retrospective Studies

Access URL: https://pubmed.ncbi.nlm.nih.gov/37589739
https://repository.publisso.de/resource/frl:6491640

The reliability of virtual non-contrast reconstructions of photon-counting detector CT scans in assessing abdominal organs

Authors: Dudás, Ibolyka, Schultz, Leona, Benke, Márton, Szücs, Ákos, Kaposi, Pál Novák, Szijártó, Attila, Maurovich-Horvat, Pál, Budai, Bettina Katalin

Source: BMC Med Imaging
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-18 (2024)

Subject Terms: Male, Adult, Aged, 80 and over, Photons, Research, Paraspinal Muscles, Reproducibility of Results, Middle Aged, Spine, Algorithms [MeSH], Female [MeSH], Spectral imaging, Spine/diagnostic imaging [MeSH], Computed tomography, Aged, 80 and over [MeSH], Aged [MeSH], Adult [MeSH], Humans [MeSH], Middle Aged [MeSH], Photon-counting detector, Tomography, X-Ray Computed/methods [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Pancreatic Neoplasms/diagnostic imaging [MeSH], Paraspinal Muscles/diagnostic imaging [MeSH], Spleen/diagnostic imaging [MeSH], Photons [MeSH], Male [MeSH], Reproducibility of Results [MeSH], Virtual non-contrast, Liver/diagnostic imaging [MeSH], Pancreatic Neoplasms, Liver, Medical technology, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, R855-855.5, Tomography, X-Ray Computed, Spleen, Algorithms, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/39251996
https://doaj.org/article/104b7726791940858a83112538d52b9b
https://repository.publisso.de/resource/frl:6503509