Vision 20/20: magnetic resonance imaging-guided attenuation correction in PET/MRI: challenges, solutions, and opportunities

Cited by (152)

Items 101–152 of 152

  1. Image informatics for clinical and preclinical biomedical analysis
    Agnesh Chandra Yadav, Maheshkumar H. Kolekar, Deepali Bhaskar Patil, Mukesh Kumar Zope · 2024 · Elsevier eBooks
  2. MR-Only Methodology
    Jason Dowling, Juha Korhonen · 2019 · Springer eBooks
  3. PET/MRT
    Bettina Beuthien‐Baumann · 2018 · Der Radiologe
  4. Gadolinium‐based contrast agent attenuation does not impact PET quantification in simultaneous dynamic contrast enhanced breast PET/MR
    Timothy J. Allen, Leah C. Henze Bancroft, Manoj Kumar, Tyler Bradshaw, Roberta M. Strigel, Alan B. McMillan, Amy M. Fowler · 2022 · Medical Physics
  5. Impact of Tissue Classification in MRI-Guided Attenuation Correction on Whole-Body Patlak PET/MRI
    Mingzan Zhuang, Nicolas A. Karakatsanis, Rudi Dierckx, Habib Zaidi · 2019 · Molecular Imaging and Biology
  6. Generation of synthetic CT from MRI for MRI‐based attenuation correction of brain PET images using radiomics and machine learning
    Amin Hoseinipourasl, Gholam‐Ali Hossein‐Zadeh, Peyman Sheikhzadeh, Hossein Arabalibeik, Shaghayegh Karimi Alavijeh, Habib Zaidi, Mohammad Reza Ay · 2025 · Medical Physics
  7. Wearable Electrical-impedance-tomography Armband for Noninvasive and Continuous Bone Monitoring
    S.L. Xu, Xiaowen Huang, Zhiyi Zhou, Juncheng Fan, Liudi Dong, Yizhen Chen, Zhenxiang Yi, Hua Hong, Hai Sheng, Xiao-fan Lu et al. · 2025 · ACS Sensors
  8. Image synthesis for MRI-only radiotherapy treatment planning
    Jason Dowling, Laura M. O'Connor, Oscar Acosta, Parnesh Raniga, R. de Crevoisier, Jean‐Claude Nunes, A. Barateau, Hilda Chourak, Jae Hyuk Choi, Peter B. Greer · 2022 · Elsevier eBooks
  9. Pelvic PET/MR attenuation correction in the image space using deep learning
    Bendik Skarre Abrahamsen, Ingerid Skjei Knudtsen, Live Eikenes, Tone Frost Bathen, Mattijs Elschot · 2023 · Frontiers in Oncology
  10. MR‐based truncation correction using an advanced HUGE method to improve attenuation correction in PET/MR imaging of obese patients
    Maike E. Lindemann, Marcel Gratz, Jan Ole Blumhagen, Bjoern Jakoby, Harald H. Quick · 2022 · Medical Physics
  11. Brain MR Imaging Segmentation Using Convolutional Auto Encoder Network for PET Attenuation Correction
    Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi · 2020 · Advances in intelligent systems and computing
  12. MRI classification using semantic random forest with auto-context model
    Yang Lei, Tonghe Wang, Xue yan Dong, Sibo Tian, Yingzi Liu, Hui Z. Mao, Walter John Curran, Hui‐Kuo G. Shu, Tian Liu, Xiaofeng Yang · 2021 · Quantitative Imaging in Medicine and Surgery
  13. Optimizing Attenuation Correction in 68Ga-PSMA PET Imaging Using Deep Learning and Artifact-Free Dataset Refinement
    Masoumeh Dorri Giv, Gülüzar Özbolat, Hossein Arabi, Somayeh Malmir, Shahrokh Naseri, Vahid R. Ravan, Hossein Akbari‐Lalimi, Raheleh Tabari Juybari, Ghasem Ali Divband, Nasrin Raeisi et al. · 2025 · Diagnostics
  14. Musculoskeletal Lesions: Nuclear Medicine Imaging Pitfalls
    Yun Young Choi, Jae Sung Lee, Seoung-Oh Yang · 2017 · Springer eBooks
  15. Importancia de la corrección de atenuación en la cuantificación de imagen PET/RM: métodos y aplicaciones
    Ángel Torrado-Carvajal · 2020 · Revista Española de Medicina Nuclear e Imagen Molecular
  16. The effect of magnetic field strength on the positron range and projected annihilation artifact in integrated PET/MR systems: A GATE Monte Carlo study
    Sepideh Barati, Milad Enferadi, Saeed Sarkar, Parham Geramifar · 2021 · Medical Physics
  17. Performance Evaluation of Hybrid Machine Learning Algorithms for Medical Image Classification
    N. T. Renukadevi · 2021 · Studies in big data
  18. Detection and quantification of small and low‐uptake lesions for differentiated thyroid carcinoma using non‐time‐of‐flight iodine‐124 PET/MRI
    Maike E. Lindemann, Walter Jentzen, David Kersting, Pedro Fragoso Costa, Alina Toni Küper, Lale Umutlu, Ken Herrmann, Harald H. Quick · 2024 · Medical Physics
  19. Effect of sinus attenuation in MR-based attenuation correction in 18F-FDG brain PET/MR
    Jarmo Teuho, Jouni Tuisku, Jani Lindén, Mika Teräs · 2017 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
  20. Evaluation of improved CT‐based hardware attenuation correction in PET/MRI: Application to a 16‐channel RF breast coil
    Maike E. Lindemann, Mark Oehmigen, Titus E. Lanz, Hong Grafe, Nils Martin Bruckmann, Lale Umutlu, Harald H. Quick · 2022 · Medical Physics
  21. Air, bone and soft-tissue Segmentation on 3D brain MRI Using Semantic Classification Random Forest with Auto-Context Model
    Xue Dong, Yang Lei, Sibo Tian, Yingzi Liu, Tonghe Wang, Tian Liu, Walter John Curran, Hui Z. Mao, Hui‐Kuo G. Shu, Xiaofeng Yang · 2019 · arXiv (Cornell University)
  22. Overview of Imaging Modalities in Oncology
    Dania Cioni · 2023 · Springer eBooks
  23. Assessment of the Deep Learning-based Attenuation Correction in the Image Domain for 68Ga-PSMA PET Imaging using Artifact-free Dataset
    Masoumeh Dorri Giv, Vahid Reza Dabbagh Kakhki, Nasim Noroozbeigi, Zahra Bakhshi Golestani, Atena Aghaee, Habibollah Dadgar, Samaneh Mostafapour, Hossein Arabi, Habib Zaidi · 2022 · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
  24. The impact of MR-guided attenuation correction (compared to CT-based AC) on the diagnosis of anosmia based on 99m-Tc Ethyl-Cysteinate-Dimer SPECT images
    Faeze Gholamiankhah, Samaneh Mostafapour, Seid Kazem Razavi-Ratki, Ali Asghar Parach, Hosein Arabi · 2022 · Internatuinal Journal of Radiation Research
  25. Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
    Kristi Kuljus, Fekadu L. Bayisa, David Bolin, Jüri Lember, Jun Yu · 2018 · Communications in Statistics Case Studies Data Analysis and Applications
  26. Are Quantitative Errors Reduced with Time-of-Flight Reconstruction When Using Imperfect MR-Based Attenuation Maps for 18F-FDG PET/MR Neuroimaging?
    Jani Lindén, Jarmo Teuho, Riku Klén, Mika Teräs · 2022 · Applied Sciences
  27. Future Challenges of Multimodality Imaging
    Diego Alfonso López-Mora, Luis Alarcón Lagos, Montserrat Estorch, Ignasi Carrió · 2020 · Recent results in cancer research/Recent Results in Cancer Research
  28. Medical image synthesis using segmentation and registration
    Ninon Burgos · 2022 · Elsevier eBooks
  29. Can PET/MR Imaging Assess Coronary Artery Plaque Biology?
    Debiao Li, Daniel S. Berman · 2017 · JACC. Cardiovascular imaging
  30. PET/MRI attenuation correction
    Claes Nøhr Ladefoged, Anders Beck Olin · 2022 · Elsevier eBooks
  31. Radiolabeled FAPI
    Andrea Cimini, Maria Ricci, Laura Travascio, Habibollah Dadgar, Hossein Arabi, Fabio Cusella, Nasim Norouzbeigi, Habib Zaidi, Batool Albalooshi · 2024 · Springer eBooks
  32. Clinical Application of Positron Emission Tomography/Magnetic Resonance Imaging in Pelvic Malignant Tumors
    Hui Yang, Jielin Bai, Xuena Li, Yaming Li, Bulin Du, Yan Cui, Shu Wang, Yuxiang Wang · 2025 · iRadiology
  33. Depth-Dependent Performance of Residual Networks for Low-Count PET Image Restoration Using a Dedicated 3D-Printed Striatum Phantom
    Chanrok Park, Min-Gwan Lee, Sun Young Chae · 2026 · Bioengineering
  34. Multimodality molecular imaging: Paving the way for personalized medicine
    Habib Zaidi · 2017 · Medical Technologies Journal
  35. Evaluation of three methods for delineation and attenuation estimation of the sinus region in MR-based attenuation correction for brain PET-MR imaging
    Jani Lindén, Jarmo Teuho, Mika Teräs, Riku Klén · 2022 · BMC Medical Imaging
  36. Deep-learning-based Attenuation Correction for 68Ga-DOTATATE Whole-body PET Imaging: A Dual-center Clinical Study
    Mahsa Sobhi Lord, Jalil Pirayesh Islamian, Negisa Seyyedi, Rezvan Samimi, Saeed Farzanehfar, Mahsa Shahrbabki, Peyman Sheikhzadeh · 2024 · Molecular Imaging and Radionuclide Therapy
  37. Physikalisch-technische Grundlagen und Tracerentwicklung in der Positronenemissionstomografie
    Gerhard Glatting, Carmen Wängler, Björn Wängler · 2016 · Springer eBooks
  38. Comparison of state-of-the-art atlas-based bone segmentation approaches from brain MR images for MR-only radiation planning and PET/MR attenuation correction
    Samaneh Mostafapour, Hossein Arabi · 2021 · کومش
  39. PET/MRI: Reliability/Reproducibility of SUV Measurements
    Habib Zaidi, Irene Andrea Burger · 2017 · Springer eBooks
  40. An Integrated Deep Architecture for Lesion Detection in Breast MRI
    Ghazal Rouhafzay, Yonggang Li, Haitao Guan, Chang Shu, Rafik A Goubran, Pengcheng Xi · 2020 · Lecture notes in computer science
  41. Zero Echo Time MRAC on FDG-PET/MR Maintains Diagnostic Accuracy for Alzheimer’s Disease; A Simulation Study Combining ADNI-Data
    Takahiro Ando, Bradley J. Kemp, Geoffrey Warnock, Tetsuro Sekine, Sandeep S Kaushik, Florian Wiesinger, Gaspar Delso · 2020 · Frontiers in Neuroscience
  42. Characteristics of Magnetic Resonance-Based Attenuation Correction Map on Phantom Study in Positron Emission Tomography/Magnetic Resonance Imaging System
    Cheolpyo Hong · 2020 · Progress in Medical Physics
  43. Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction
    Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi · 2020 · IEEE Symposium Series on Computational Intelligence (SSCI)
  44. Positron emission tomography/magnetic resonance in musculoskeletal disorders: proper sequences and workflow optimization
    Daniele Antonio Pizzuto, Lucio Calandriello, Ivan De Martino, Maria Luisa De Micheli, Marco De Summa, Salvatore Annunziata · 2024 · Clinical and Translational Imaging
  45. Additional file 1 of Evaluation of three methods for delineation and attenuation estimation of the sinus region in MR-based attenuation correction for brain PET-MR imaging
    Jani Lindén, Teuho, Jarmo, Mika Teräs, Klén, Riku · 2022 · Figshare
  46. Nükleer Tıp Hibrit Görüntülemede Görüntü Kalitesine Etki Eden Faktörler ve Görüntü Optimizasyonu
    Feryal Çakır · 2025 · Özgür Yayınları eBooks
  47. Comparative Assessment of U-Net and Pix2Pix for Applying Direct Attenuation Correction in the Image Domain in ${ }^{68}$ Ga-PSMA PET/CT Imaging
    Negin Hamidiyan, Hadi Taleshi Ahangari, Pardis Ghafarian, Hossein Arabi, Mohammad Reza Ay · 2025 · National and International Iranian Conference on Biomedical Engineering (ICBME)
  48. Imagerie multimodale et quantitative en TEP/IRM
    Florian Monnier · 2018
  49. (Hybrid) SPECT and PET Technologies
    Teresa Lemainque, Nicolas Groß‐Weege, Volkmar Schulz · 2026 · Recent results in cancer research/Recent Results in Cancer Research
  50. Limitations in diagnostics and quantification of small lesions with low uptake in the clinical context of prostate 18F/68Ga-PSMA PET/MRI
    Maike E. Lindemann, Walter Jentzen, Alina Küper, Pedro Fragoso Costa, Marcel Gratz, Lale Umutlu, James Nagarajah, Stephan G. Nekolla, Ivo Rausch, Ken Herrmann et al. · 2026 · EJNMMI Physics
  51. Beyond FDG: a paradigm shift in precision localization of epileptogenic zones in refractory epilepsy using multimodal molecular imaging (PET/CT) and isotropic 3D MRI fusion
    Yuying Zhao, Bin Shen, Wei Luo, Mingli Wang · 2026 · Journal of Neurology
  52. Deep learning-based approaches for attenuation correction in [18F]FDG PET: Current advances and future directions
    Atefeh Tahmasebzadeh, Pardis Ghafarian, Mahdi Sadeghi · 2026 · Applied Radiation and Isotopes