Motion correction for PET data using subspace-based real-time MR imaging in simultaneous PET/MR
| العنوان: | Motion correction for PET data using subspace-based real-time MR imaging in simultaneous PET/MR |
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| المؤلفون: | Isabelle Bloch, Yoann Petibon, Thibault Marin, Jinsong Ouyang, Yanis Djebra, Paul Kyu Han, Georges El Fakhri, Chao Ma, Yanis Chemli |
| المساهمون: | Bloch, Isabelle, Gordon Center for Medical Imaging [Boston, MA, USA] (Department of Radiology), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Département Images, Données, Signal (IDS), Télécom ParisTech, Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Institut Mines-Télécom [Paris] (IMT)-Télécom Paris |
| المصدر: | Phys Med Biol Physics in Medicine and Biology Physics in Medicine and Biology, IOP Publishing, 2020, 65 |
| بيانات النشر: | HAL CCSD, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Time Factors, Computer science, Image quality, Movement, Physics::Medical Physics, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, FOS: Physical sciences, [INFO] Computer Science [cs], Multimodal Imaging, Motion (physics), Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Motion artifacts, FOS: Electrical engineering, electronic engineering, information engineering, medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Computer vision, [INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Image and Video Processing (eess.IV), Magnetic resonance imaging, Electrical Engineering and Systems Science - Image and Video Processing, Motion correction, Frame rate, Physics - Medical Physics, Mr imaging, Magnetic Resonance Imaging, 3. Good health, Positron emission tomography, 030220 oncology & carcinogenesis, Positron-Emission Tomography, Medical Physics (physics.med-ph), Artificial intelligence, business, Artifacts, Subspace topology |
| الوصف: | Image quality of PET reconstructions is degraded by subject motion occurring during the acquisition. MR-based motion correction approaches have been studied for PET/MR scanners and have been successful at capturing regular motion patterns, when used in conjunction with surrogate signals (e.g. navigators) to detect motion. However, handling irregular respiratory motion and bulk motion remains challenging. In this work, we propose an MR-based motion correction method relying on subspace-based real-time MR imaging to estimate motion fields used to correct PET reconstructions. We take advantage of the low-rank characteristics of dynamic MR images to reconstruct high-resolution MR images at high frame rates from highly undersampled k-space data. Reconstructed dynamic MR images are used to determine motion phases for PET reconstruction and estimate phase-to-phase nonrigid motion fields able to capture complex motion patterns such as irregular respiratory and bulk motion. MR-derived binning and motion fields are used for PET reconstruction to generate motion-corrected PET images. The proposed method was evaluated on in vivo data with irregular motion patterns. MR reconstructions accurately captured motion, outperforming state-of-the-art dynamic MR reconstruction techniques. Evaluation of PET reconstructions demonstrated the benefits of the proposed method over standard methods in terms of motion artifact reduction. The proposed method can improve the image quality of motion-corrected PET reconstructions in clinical applications. Comment: Submitted to Physics in Medicine and Biology |
| اللغة: | English |
| تدمد: | 0031-9155 1361-6560 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6a58b2303f9ede1f17a98193a9db194 https://hal.telecom-paris.fr/hal-02927641 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....a6a58b2303f9ede1f17a98193a9db194 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 00319155 13616560 |
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