Echo‐Planar‐Based Time‐of‐Flight Imaging Using a Modified Interleaved Flyback Trajectory

Authors: Simon Blömer, Tony Stöcker, Rüdiger Stirnberg

Source: Magnetic resonance in medicine 95(6), 3131-3144 (2026). doi:10.1002/mrm.70272

Subject Terms: Echo-Planar Imaging: methods, flow artifacts, 7T, Phantoms, Imaging, magnetic resonance angiography, Image Processing, Computer-Assisted: methods, Humans, 3D‐EPI, echo planar imaging, Imaging, Three-Dimensional: methods, Artifacts, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/41588638
https://pub.dzne.de/record/285913

Calibration‐Free GRAPE pTx Pulses for Homogeneous Spatial‐Selective Excitation at 7T

Authors: Daniel Löwen, Eberhard D. Pracht, Marten Veldmann, Vincent Gras, Franck Mauconduit, Nicolas Boulant, Tony Stöcker

Source: Magnetic resonance in medicine 95(6), 3104-3115 (2026). doi:10.1002/mrm.70266
Magnetic Resonance in Medicine

Subject Terms: parallel transmission, Phantoms, Imaging, Image Processing, Computer-Assisted: methods, Magnetic Resonance Imaging: methods, ultra‐high field, Signal-To-Noise Ratio, Calibration, Humans, Computer Simulation, Brain: diagnostic imaging, Algorithms, GRAPE, universal pulses

Access URL: https://pubmed.ncbi.nlm.nih.gov/41588662
https://pub.dzne.de/record/285914

On the Impact of Artifacts Induced by Mismatches Between Auto‐Calibration Signal and Accelerated 3D GRE Data at 11.7T

Authors: Obriot, Joseph, Mauconduit, Franck, Gras, Vincent, Giliyar Radhakrishna, Chaithya, Bertrait, Maxime, Ehses, Philipp, Stirnberg, Rüdiger, Le Ster, Caroline, Boulant, Nicolas

Source: Magn Reson Med
Magnetic resonance in medicine 95(3), 1440-1447 (2025). doi:10.1002/mrm.70127
Magnetic Resonance in Medicine

Subject Terms: auto‐calibration signal, Phantoms, Imaging, Image Processing, Computer-Assisted: methods, Magnetic Resonance Imaging: methods, ultra‐high field, Brain, Reproducibility of Results, artifacts, Imaging, Three-Dimensional: methods, Imaging Methodology, Magnetic Resonance Imaging, Imaging, Three-Dimensional, Calibration, Head: diagnostic imaging, Image Processing, Computer-Assisted, Humans, Computer Simulation, Brain: diagnostic imaging, Artifacts, Head, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/41108674
https://pubmed.ncbi.nlm.nih.gov/41108674/
https://pmc.ncbi.nlm.nih.gov/articles/PMC12746375/
https://doi.org/10.1002/mrm.70127
https://pub.dzne.de/record/282540

Enhancing interpretability of AI with radiomics-based deep neural network: proof of concept in the classification of Parkinsonian syndromes with 18F-FDG PET imaging

Authors: Li, Chenyang, Jiao, Fangyang, Wu, Shaoyou, Wang, Chenhan, Wei, Min, Zhang, Shuoyan, Wang, Luyao, Huang, Yu, Yin, Yafu, Tian, Rong, Bernhardt, Alexander, Katzdobler, Sabrina, Levin, Johannes, Höglinger, Günter U., Brendel, Matthias, Rominger, Axel, Shi, Kuangyu, Zuo, Chuantao, Jiang, Jiehui

Source: Eur J Nucl Med Mol Imaging
European journal of nuclear medicine and molecular imaging 53(3), 1962-1979 (2026). doi:10.1007/s00259-025-07478-7

Subject Terms: Male, Model interpretability, Radiomics, Dual-channel neural network, Image Processing, Computer-Assisted: methods, Parkinsonian Disorders: classification, Middle Aged, Parkinsonian Disorders: diagnostic imaging, Proof of Concept Study, 18F-fluorodeoxyglucosePET imaging, Deep Learning, Fluorodeoxyglucose F18, Positron-Emission Tomography, SHAP, Humans, Female, Original Article, Neural Networks, Computer, Parkinsonian syndromes, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/40932612
https://pub.dzne.de/record/285004

AI Superresolution: Converting T1‐weighted MRI from 3T to 7T resolution toward enhanced imaging biomarkers for Alzheimer’s disease

Authors: Gicquel, Malo, Flood, Gabrielle, Berron, David, Hansson, Oskar, Vogel, Jacob W, Zhao, Ruoyi, Wuestefeld, Anika, Spotorno, Nicola, Strandberg, Olof, Xiao, Yu, Åström, Kalle, Wisse, Laura E M, van Westen, Danielle

Source: Alzheimers Dement
Alzheimer's and dementia 21(S2), e106600 (2025). doi:10.1002/alz70856_106600
Alzheimer’s Association International Conference, AAIC 25, Toronto, Canada, 2025-07-27-2025-07-31
Alzheimer's and dementia 21(Suppl 8), e109817 (2025). doi:10.1002/alz70862_109817

Subject Terms: Male, Sweden, Deep Learning, Image Processing, Computer-Assisted: methods, Magnetic Resonance Imaging: methods, Neuroimaging: methods, Humans, Female, Brain: diagnostic imaging, Alzheimer Disease: diagnostic imaging, Biomarkers, Aged

Access URL: https://pmc.ncbi.nlm.nih.gov/articles/PMC12725268/
https://doi.org/10.1002/alz70862_109817
https://pubmed.ncbi.nlm.nih.gov/41434097/
https://pub.dzne.de/record/283149
https://pub.dzne.de/record/283099

Generation of synthetic CT from MRI for MRI‐based attenuation correction of brain PET images using radiomics and machine learning

Authors: Hoseinipourasl, Amin, Hossein-Zadeh, Gholam-Ali, Sheikhzadeh, Peyman, Arabalibeik, Hossein, Alavijeh, Shaghayegh Karimi, Zaidi, Habib, Ay, Mohammad Reza

Source: Hoseinipourasl, A, Hossein-Zadeh, G A, Sheikhzadeh, P, Arabalibeik, H, Alavijeh, S K, Zaidi, H & Ay, M R 2025, 'Generation of synthetic CT from MRI for MRI-based attenuation correction of brain PET images using radiomics and machine learning', Medical Physics, vol. 52, no. 6, pp. 3772-3784. https://doi.org/10.1002/mp.17867

Subject Terms: Adult, Male, Attenuation correction, Radiomics, 616.0757, Brain / diagnostic imaging, Brain, attenuation correction, Magnetic Resonance Imaging, Machine Learning, machine learning, PET/MRI, Image Processing, Computer-Assisted / methods, radiomics, synthetic CT, Positron-Emission Tomography, Machine learning, Image Processing, Computer-Assisted, Humans, Female, Tomography, X-Ray Computed, Synthetic CT

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/40355942
https://research.rug.nl/en/publications/eb2fd18d-1f3a-4765-a5f2-c20c9f5bfab6
https://hdl.handle.net/11370/eb2fd18d-1f3a-4765-a5f2-c20c9f5bfab6
https://doi.org/10.1002/mp.17867
https://archive-ouverte.unige.ch/unige:185190
https://doi.org/10.1002/mp.17867

Automated pulmonary nodule classification from low-dose CT images using ERBNet: an ensemble learning approach: an ensemble learning approach

Authors: Ahmadyar, Yashar, Kamali-Asl, Alireza, Samimi, Rezvan, Arabi, Hossein, Zaidi, Habib

Source: Med Biol Eng Comput
Ahmadyar, Y, Kamali-Asl, A, Samimi, R, Arabi, H & Zaidi, H 2025, 'Automated pulmonary nodule classification from low-dose CT images using ERBNet : an ensemble learning approach', Medical and Biological Engineering and Computing, vol. 63, no. 9, pp. 2767-2779. https://doi.org/10.1007/s11517-025-03358-2

Subject Terms: Lung Neoplasms / diagnostic imaging, Lung Neoplasms, 616.0757, Solitary Pulmonary Nodule, Deep learning, Classification, Radiation Dosage, Tomography, X-Ray Computed / methods, Low dose, Deep Learning, Image Processing, Computer-Assisted / methods, Solitary Pulmonary Nodule / classification, Image Processing, Computer-Assisted, Humans, Radiographic Image Interpretation, Computer-Assisted, Original Article, Lung cancer, Tomography, X-Ray Computed, Computed tomography, Solitary Pulmonary Nodule / diagnostic imaging, Algorithms, Radiographic Image Interpretation, Computer-Assisted / methods, Ensemble Learning

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/40232605
https://hdl.handle.net/11370/325ed698-9fd2-401e-8d9e-0cdef65dd3d4
https://research.rug.nl/en/publications/325ed698-9fd2-401e-8d9e-0cdef65dd3d4
https://doi.org/10.1007/s11517-025-03358-2

Short‐term gradient imperfections in high‐resolution EPI lead to Fuzzy Ripple artifacts

Authors: Huber, Laurentius (Renzo), Stirnberg, Rüdiger, Morgan, A. Tyler, Feinberg, David A., Ehses, Philipp, Knudsen, Lasse, Gulban, Omer Faruk, Koiso, Kenshu, Gephart, Isabel, Swegle, Stephanie, Wardle, Susan G., Persichetti, Andrew S., Beckett, Alexander J. S., Stöcker, Tony, Boulant, Nicolas, Poser, Benedikt A., Bandettini, Peter A

Source: Magn Reson Med
Magnetic resonance in medicine 94(2), 571-587 (2025). doi:10.1002/mrm.30489
Huber, L, Stirnberg, R, Morgan, A T, Feinberg, D A, Ehses, P, Knudsen, L, Gulban, O F, Koiso, K, Gephart, I, Swegle, S, Wardle, S G, Persichetti, A S, Beckett, A J S, Stöcker, T, Boulant, N, Poser, B A & Bandettini, P A 2025, 'Short-term gradient imperfections in high-resolution EPI lead to Fuzzy Ripple artifacts', Magnetic Resonance in Medicine, vol. 94, no. 2, pp. 571-587. https://doi.org/10.1002/mrm.30489
Magnetic Resonance in Medicine

Subject Terms: Echo-Planar Imaging: methods, Brain Mapping, Brain Mapping: methods, Echo-Planar Imaging, Phantoms, Imaging, Image Processing, Computer-Assisted: methods, Brain, Fuzzy Ripples, Imaging Methodology, Magnetic Resonance Imaging, ventral brain, layer‐fMRI, Image Processing, Computer-Assisted, layer-fMRI, Humans, 7 T acquisition, Brain: diagnostic imaging, ECHO, Artifacts, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/40173320
https://pub.dzne.de/record/279036

Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model

Authors: Salimi, Yazdan, Mansouri, Zahra, Sun, Chang, Sanaat, Amirhossein, Yazdanpanah, Mohammadhossein, Shooli, Hossein, Nkoulou, René, Boudabbous, Sana, Zaidi, Habib

Source: Radiol Med
Salimi, Y, Mansouri, Z, Sun, C, Sanaat, A, Yazdanpanah, M, Shooli, H, Nkoulou, R, Boudabbous, S & Zaidi, H 2025, 'Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model', La Radiologia Medica, vol. 130, no. 5, pp. 723-739. https://doi.org/10.1007/s11547-025-01989-x

Subject Terms: Image Processing, Computer-Assisted/methods, Image Processing, Tomography, X-Ray Computed/methods, NnU-Net, Radiation Dosage, Computed Tomography, Deep Learning, Radiographic Image Interpretation, Computer-Assisted/methods, Computer-Assisted/methods, Image Processing, Computer-Assisted, Humans, Organ segmentation, Tomography, Radiographic Image Interpretation, Computer-Assisted / methods, 616.0757, nnU-Net, Radiation dose, Radiographic Image Interpretation, Deep learning, X-Ray Computed/methods, Tomography, X-Ray Computed / methods, Ultra-low-dose CT, Image Processing, Computer-Assisted / methods, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed, Algorithms

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/40100539

CT-free attenuation and Monte-Carlo based scatter correction-guided quantitative 90Y-SPECT imaging for improved dose calculation using deep learning

Authors: Mansouri, Zahra, Salimi, Yazdan, Bianchetto Wolf, Nicola, Mainta, Ismini Charis, Zaidi, Habib

Source: Eur J Nucl Med Mol Imaging
Mansouri, Z, Salimi, Y, Wolf, N B, Mainta, I & Zaidi, H 2025, 'CT-free attenuation and Monte-Carlo based scatter correction-guided quantitative 90 Y-SPECT imaging for improved dose calculation using deep learning', European Journal of Nuclear Medicine and Molecular Imaging, vol. 52, no. 9, pp. 3484-3499. https://doi.org/10.1007/s00259-025-07191-5

Subject Terms: Tomography, Emission-Computed, Single-Photon, Male, Attenuation correction, 616.0757, Scatter correction, Deep learning, Radiotherapy Dosage, 90Y dosimetry, SPECT/ CT, Middle Aged, Radiation Dosage, Deep Learning, Image Processing, Computer-Assisted / methods, Image Processing, Computer-Assisted, Humans, Scattering, Radiation, Original Article, Yttrium Radioisotopes, Female, Radiometry, Monte Carlo Method, Tomography, Emission-Computed, Single-Photon / methods, Y dosimetry, Aged

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/40080141
https://archive-ouverte.unige.ch/unige:192977
https://doi.org/10.1007/s00259-025-07191-5
https://portal.findresearcher.sdu.dk/da/publications/6d127a24-2c6d-46c4-b755-232dcba4bcbe
https://doi.org/10.1007/s00259-025-07191-5
https://findresearcher.sdu.dk/ws/files/292246358/s00259-025-07191-5.pdf
https://portal.findresearcher.sdu.dk/da/publications/6d127a24-2c6d-46c4-b755-232dcba4bcbe
https://doi.org/10.1007/s00259-025-07191-5

Myelin water fraction mapping with joint inversion of gradient-echo and spin-echo data

Authors: Ségolène Dega, Mónica Ferreira, Marten Veldmann, Rüdiger Stirnberg, Hendrik Paasche, Tony Stöcker

Source: MAGMA
Magnetic resonance materials in physics, biology and medicine 38(2), 317-332 (2025). doi:10.1007/s10334-025-01235-5

Subject Terms: Adult, Male, Echo-Planar Imaging: methods, Echo-Planar Imaging, Joint inversion, Image Processing, Computer-Assisted: methods, Magnetic Resonance Imaging: methods, Water, Brain, Reproducibility of Results, Water: chemistry, T 2 and T 2 ∗ relaxation spectra, Magnetic Resonance Imaging, Myelin water fraction, Myelin water imaging, Image Processing, Computer-Assisted, Humans, Computer Simulation, Spin Labels, Brain: diagnostic imaging, Myelin Sheath: chemistry, Myelin Sheath, Algorithms, Research Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/40053187
https://pub.dzne.de/record/277545

Image reconstruction and elongation artifact reduction for a dual‐panel dedicated prostate PET scanner

Authors: Saberi Manesh, Abdollah, Amini, Mehdi, Salimi, Yazdan, Doroud, Katayoun, Williams, Crispin, Williams, Themistoklis, Arabi, Hossein, Zaidi, Habib

Source: Med Phys
Saberi Manesh, A, Amini, M, Salimi, Y, Doroud, K, Williams, C, Williams, T, Arabi, H & Zaidi, H 2026, 'Image reconstruction and elongation artifact reduction for a dual-panel dedicated prostate PET scanner', Medical Physics, vol. 53, no. 2, e70298. https://doi.org/10.1002/mp.70298

Subject Terms: Male, prostate, reconstruction, 616.0757, Prostate / diagnostic imaging, Phantoms, Imaging, Prostate, artifact, deep-learning, organ-specific PET, Image Processing, Computer-Assisted / methods, Positron-Emission Tomography / instrumentation, Positron-Emission Tomography, Image Processing, Computer-Assisted, Humans, dual-panel, DIAGNOSTIC IMAGING (IONIZING AND NON‐IONIZING), Artifacts

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/41589400
https://archive-ouverte.unige.ch/unige:191226
https://doi.org/10.1002/mp.70298
https://portal.findresearcher.sdu.dk/da/publications/d2da437f-0377-4618-accd-5d02dce901bd
https://doi.org/10.1002/mp.70298
https://portal.findresearcher.sdu.dk/da/publications/d2da437f-0377-4618-accd-5d02dce901bd
https://findresearcher.sdu.dk/ws/files/304145908/Medical_Physics_-_2026_-_Saberi_Manesh_-_Image_reconstruction_and_elongation_artifact_reduction_for_a_dual_panel_dedicated.pdf
https://doi.org/10.1002/mp.70298

Harmonized Protocol for Subfield Segmentation in the Hippocampal Body on High-Resolution In Vivo MRI From the Hippocampal Subfields Group (HSG)

Authors: Daugherty, Ana M, Carr, Valerie, Chetelat, Gael, de Flores, Robin, Ding, Song-Lin, Huang, Yushan, Johnson, Elliott, Kanel, Prabesh, Keresztes, Attila, Kedo, Olga, Kennedy, Kristen M, Lee, Joshua, Canada, Kelsey L, Malykhin, Nikolai, Martinez, Anjelica, Mueller, Susanne, Mulligan, Elizabeth, Ofen, Noa, Palombo, Daniela, Pasquini, Lorenzo, Pluta, John, Raz, Naftali, Riggins, Tracy, Rådman, Gustaf, Rodrigue, Karen M, Saifullah, Samaah, Schlichting, Margaret L, Stark, Craig, Wang, Lei, Yushkevich, Paul, La Joie, Renaud, Wisse, Laura, Olsen, Rosanna, Initiative, Alzheimer’s Disease Neuroimaging, Brown, Thackery, Group, Hippocampal Subfields, Augustinack, Jean, Amunts, Katrin, Bakker, Arnold, Berron, David, Burggren, Alison

Source: Hippocampus 36(2), e70073 (2026). doi:10.1002/hipo.70073

Subject Terms: Hippocampus: anatomy & histology, Male, Hippocampus: diagnostic imaging, neuroimaging, subiculum, Cornu Ammonis, Image Processing, Computer-Assisted: methods, Magnetic Resonance Imaging: methods, Humans, Female, dentate gyrus, Magnetic Resonance Imaging: standards

Access URL: https://pub.dzne.de/record/285024

Hypothalamic atrophy in progressive supranuclear palsy, assessed by convolutional neural network-based automatic segmentation

Authors: Kassubek, Jan, Höglinger, Günter U, Zůza, Adam, Kreiser, Kornelia, Roselli, Francesco, Group, DESCRIBE-PSP Study, Müller, Hans-Peter

Contributors: Falkenburger, Björn, Flöel, Agnes, Glanz, Wenzel, Janowitz, Daniel, Katzdobler, Sabrina, Kilimann, Ingo, Kimmich, Okka, Levin, Johannes, Peters, Oliver, Priller, Josef, Prudlo, Johannes, Schneider, Luisa-Sophie, Spottke, Annika, Spruth, Eike Jakob, Synofzik, Matthis, Teipel, Stefan, Wilke, Carlo, Brandt, Daniel Moritz, Bürger, Katharina, Düzel, Emrah

Source: Journal of neurology 273(3), 201 (2026). doi:10.1007/s00415-026-13718-z

Subject Terms: Male, Image Processing, Computer-Assisted: methods, Magnetic Resonance Imaging: methods, Hypothalamus, Supranuclear Palsy, Progressive: diagnostic imaging, Cohort Studies, Magnetic resonance imaging, Volumetry, Atrophy: diagnostic imaging, Humans, Atrophy: pathology, Parkinson Disease: pathology, Aged, Progressive supranuclear palsy, Convolutional Neural Networks, Supranuclear Palsy, Progressive: pathology, Supranuclear Palsy, Progressive: complications, Middle Aged, Metabolism, Hypothalamus: diagnostic imaging, Hypothalamus: pathology, Female, Neural Networks, Computer, Neural networks, Parkinson Disease: diagnostic imaging

Access URL: https://pub.dzne.de/record/285630

Motion- and Field-Robust Mesoscopic Whole-Brain T 2 * $$ {T}_2^{\ast } $$ -Weighted Imaging at 7 and 11.7 T Using Servo Navigation

Authors: Serger, Matthias, Stirnberg, Rüdiger, Chu, Son, Gunamony, Shajan, Zaitsev, Maxim, Boulant, Nicolas, Pruessmann, Klaas P, Stoecker, Tony, Ehses, Philipp, Riedel, Malte, Ulrich, Thomas, Le Ster, Caroline, Mauconduit, Franck, Gras, Vincent, Amadon, Alexis, Vignaud, Alexandre

Source: Magnetic resonance in medicine 95(5), 2658-2670 (2026). doi:10.1002/mrm.70251

Subject Terms: Male, Adult, Echo-Planar Imaging: methods, Image Processing, Computer-Assisted: methods, Magnetic Resonance Imaging: methods, Reproducibility of Results, Imaging, Three-Dimensional: methods, Motion, prospective motion correction, Humans, 3D‐EPI, Female, brain vasculature, mesoscopic imaging, Brain: diagnostic imaging, Artifacts, 11.7 T, servo navigation, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/41527210
https://pub.dzne.de/record/285473

Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study: a comprehensive deep learning study

Authors: Hajianfar, Ghasem, Gharibi, Omid, Sabouri, Maziar, Mohebi, Mobin, Amini, Mehdi, Yasemi, Mohammad Javad, Chehreghani, Mohammad, Maghsudi, Mehdi, Mansouri, Zahra, Edalat-Javid, Mohammad, Valavi, Setareh, Bitarafan Rajabi, Ahmad, Salimi, Yazdan, Arabi, Hossein, Rahmim, Arman, Shiri Lord, Isaac, Zaidi, Habib

Source: Eur J Nucl Med Mol Imaging
Hajianfar, G, Gharibi, O, Sabouri, M, Mohebi, M, Amini, M, Yasemi, M J, Chehreghani, M, Maghsudi, M, Mansouri, Z, Edalat-Javid, M, Valavi, S, Bitarafan Rajabi, A, Salimi, Y, Arabi, H, Rahmim, A, Shiri, I & Zaidi, H 2025, 'Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging : a comprehensive deep learning study', European Journal of Nuclear Medicine and Molecular Imaging, vol. 52, no. 8, pp. 3019-3035. https://doi.org/10.1007/s00259-025-07145-x

Subject Terms: Tomography, Emission-Computed, Single-Photon, Male, 616.0757, Coronary Artery Disease / diagnostic imaging, Myocardial Perfusion Imaging, Deep learning, Coronary Artery Disease, Middle Aged, Coronary artery disease, SPECT-MPI, Deep Learning, Image Processing, Computer-Assisted / methods, Myocardial Perfusion Imaging / methods, Artificial Intelligence, Obstructive CAD, Image Processing, Computer-Assisted, Humans, Original Article, Female, Aged

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39976703
https://research.rug.nl/en/publications/0f5bbf07-178e-4a5d-aaf5-84f217e6da72
https://hdl.handle.net/11370/0f5bbf07-178e-4a5d-aaf5-84f217e6da72
https://doi.org/10.1007/s00259-025-07145-x

Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study: multi-tracer, multi-scanner, and multi-center development and evaluation study

Authors: Salimi, Yazdan, Shiri Lord, Isaac, Mansouri, Zahra, Sanaat, Amirhossein, Hajianfar, Ghasem, Hervier, Elsa, Bitarafan, Ahmad, Caobelli, Federico, Hundertmark, Moritz, Mainta, Ismini Charis, Gräni, Christoph, Nkoulou, René, Zaidi, Habib

Source: Eur J Nucl Med Mol Imaging
Salimi, Y, Shiri, I, Mansouri, Z, Sanaat, A, Hajianfar, G, Hervier, E, Bitarafan, A, Caobelli, F, Hundertmark, M, Mainta, I, Gräni, C, Nkoulou, R & Zaidi, H 2025, 'Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging : multi-tracer, multi-scanner, and multi-center development and evaluation study', European Journal of Nuclear Medicine and Molecular Imaging, vol. 52, no. 7, pp. 2513-2528. https://doi.org/10.1007/s00259-025-07117-1

Subject Terms: Male, Amyloid Neuropathies, Familial, 616.0757, Deep learning, Amyloid Neuropathies, Familial / diagnostic imaging, Middle Aged, Radionuclide Imaging / methods, Cardiomyopathies / diagnostic imaging, Multi-center study, Scintigraphy, Radionuclide Imaging / instrumentation, Deep Learning, Image Processing, Computer-Assisted / methods, Transthyretin amyloid cardiomyopathy, Artificial Intelligence, Multi-tracer, Image Processing, Computer-Assisted, Humans, Original Article, Female, Radionuclide Imaging, Cardiomyopathies, Aged

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39907796
https://hdl.handle.net/11370/3ddee278-66e2-45c8-afa3-78a45f274f5f
https://research.rug.nl/en/publications/3ddee278-66e2-45c8-afa3-78a45f274f5f
https://doi.org/10.1007/s00259-025-07117-1
https://portal.findresearcher.sdu.dk/da/publications/cfad5346-8dde-46b5-a0ec-71916ef656a1
https://doi.org/10.1007/s00259-025-07117-1
https://portal.findresearcher.sdu.dk/da/publications/cfad5346-8dde-46b5-a0ec-71916ef656a1
https://findresearcher.sdu.dk/ws/files/291176894/s00259-025-07117-1.pdf
https://doi.org/10.1007/s00259-025-07117-1

MPRAGE like : A novel approach to generate T1w images from multi‐contrast gradient echo images for brain segmentation

Authors: Marc‐Antoine Fortin, Rüdiger Stirnberg, Yannik Völzke, Laurent Lamalle, Eberhard Pracht, Daniel Löwen, Tony Stöcker, Pål Erik Goa

Source: Magn Reson Med
Magnetic resonance in medicine 94(1), 134-149 (2025). doi:10.1002/mrm.30453

Subject Terms: Male, Adult, Brain: anatomy & histology, Image Processing, Computer-Assisted: methods, Magnetic Resonance Imaging: methods, multi‐parameter mapping, Signal-To-Noise Ratio, Sensitivity and Specificity, Image Enhancement: methods, UHF‐MRI, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Humans, Brain: diagnostic imaging, neuroimaging, Brain, Reproducibility of Results, Image Enhancement, Imaging Methodology, Magnetic Resonance Imaging, brain segmentation, multi‐contrast, Female, Image Interpretation, Computer-Assisted: methods, synthetic MPRAGE, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/39902546
https://pub.dzne.de/record/278071

Rapid prospective motion correction using free induction decay and stationary field probe navigators at 7T

Authors: Serger, Matthias, Stirnberg, Rüdiger, Ehses, Philipp, Stöcker, Tony

Source: Magn Reson Med
Magnetic resonance in medicine 94(1), 105-118 (2025). doi:10.1002/mrm.30441
Magnetic Resonance in Medicine

Subject Terms: Male, Adult, FID navigators, Image Processing, Computer-Assisted: methods, Magnetic Resonance Imaging: methods, NMR field probes, Motion, Imaging, Three-Dimensional, prospective motion correction, Head: diagnostic imaging, Image Processing, Computer-Assisted, 3D‐EPI, Humans, Brain: diagnostic imaging, Echo-Planar Imaging: methods, Echo-Planar Imaging, Phantoms, Imaging, Brain, Reproducibility of Results, Imaging, Three-Dimensional: methods, Imaging Methodology, Magnetic Resonance Imaging, Calibration, Female, Artifacts, Head, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/39846141
https://pub.dzne.de/record/278075

A generative adversarial network to improve integrated mode proton imaging resolution using paired proton–carbon data

Authors: Simard, Mikaël, Fullarton, Ryan, Volz, Lennart, Schuy, Christoph, Chung, Savanna, Baker, Colin, Graeff, Christian, Fekete, Charles-Antoine Collins

Source: Med Phys
Medical physics 52(9), e18081 (2025). doi:10.1002/mp.18081

Subject Terms: Generative Adversarial Networks, ion radiography, Phantoms, Imaging, Image Processing, Computer-Assisted: methods, generative adversarial network, image‐to‐image translation, ion imaging, super‐resolution imaging, Carbon, Deep Learning, Technical Note, Image Processing, Computer-Assisted, Humans, ion beam therapy, Protons

Access URL: https://pubmed.ncbi.nlm.nih.gov/40926569
https://pmc.ncbi.nlm.nih.gov/articles/PMC12421214/
https://pubmed.ncbi.nlm.nih.gov/40926569/
https://doi.org/10.1002/mp.18081
https://repository.gsi.de/record/362215