All Relations between planning and mr

Publication Sentence Publish Date Extraction Date Species
Dana C Peters, Jérôme Lamy, Albert J Sinusas, Lauren A Baldassarr. Left atrial evaluation by cardiovascular magnetic resonance: sensitive and unique biomarkers. European heart journal. Cardiovascular Imaging. 2021-11-17. PMID:34718484. mr angiography defines atrial anatomy, useful for planning ablation procedures, and also for characterizing atrial shapes and sizes that might predict cardiovascular events, e.g. 2021-11-17 2023-08-13 human
Abbas Bahrami, Alireza Karimian, Hossein Arab. Comparison of different deep learning architectures for synthetic CT generation from MR images. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). vol 90. 2021-11-02. PMID:34597891. among the different available methods for synthetic ct generation from mr images for the task of mr-guided radiation planning, the deep learning algorithms have and do outperform their conventional counterparts. 2021-11-02 2023-08-13 Not clear
Mohit Maheshwari, Tejaswini Deshmukh, Eric C Leuthardt, Joshua S Shimon. Task-based and Resting State Functional MRI in Children. Magnetic resonance imaging clinics of North America. vol 29. issue 4. 2021-11-02. PMID:34717843. functional mr imaging (mri) is a valuable tool for presurgical planning and is well established in adult patients. 2021-11-02 2023-08-13 Not clear
Peter Meidahl Petersen, N George Mikhaeel, Umberto Ricardi, Jessica L Brad. Harnessing benefit of highly conformal RT techniques for lymphoma patients. The British journal of radiology. vol 94. issue 1127. 2021-10-29. PMID:34379521. moreover, emerging mr-based planning and treatment facilities allow target definition directly from mr scans and allow intra-fractional tracking of structures recognisable on mr. proton facilities are now being widely implemented. 2021-10-29 2023-08-13 Not clear
Bernhard Schuknech. Patterns of Perineural Skull Base Tumor Extension from Extracranial Tumors. Neuroimaging clinics of North America. vol 31. issue 4. 2021-10-28. PMID:34689928. computed tomography scanning is an adjunct to mr imaging to increase specificity and for surgical treatment planning. 2021-10-28 2023-08-13 Not clear
Snehashis Roy, Aaron Carass, Amod Jog, Jerry L Prince, Junghoon Le. MR to CT Registration of Brains using Image Synthesis. Proceedings of SPIE--the International Society for Optical Engineering. vol 9034. 2021-10-21. PMID:25057341. registration of mr and ct is necessary for accurate delineation of the tumor and other structures, and is critical in radiotherapy planning. 2021-10-21 2023-08-13 human
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wan. A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. IEEE transactions on medical imaging. vol 40. issue 10. 2021-10-21. PMID:33577451. multi-contrast magnetic resonance (mr) image registration is useful in the clinic to achieve fast and accurate imaging-based disease diagnosis and treatment planning. 2021-10-21 2023-08-13 Not clear
M P Kona, K Buch, J Singh, S Rohatg. Spinal Vascular Shunts: A Patterned Approach. AJNR. American journal of neuroradiology. 2021-10-15. PMID:34649916. mr imaging and angiography techniques permit detailed assessment of spinal arteriovenous shunts, though dsa is the criterion standard for delineating vascular anatomy and treatment planning. 2021-10-15 2023-08-13 Not clear
Jie Fu, Kamal Singhrao, Minsong Cao, Victoria Yu, Anand P Santhanam, Yingli Yang, Minghao Guo, Ann C Raldow, Dan Ruan, John H Lewi. Generation of abdominal synthetic CTs from 0.35T MR images using generative adversarial networks for MR-only liver radiotherapy. Biomedical physics & engineering express. vol 6. issue 1. 2021-10-11. PMID:33438621. ct images were deformably registered to the corresponding mr images to generate deformed ct (dct) images for treatment planning. 2021-10-11 2023-08-13 Not clear
S Bellhouse, S Brown, M Dubec, S Taylor, R Hales, L Whiteside, J Yorke, C Faivre-Fin. Introducing magnetic resonance imaging into the lung cancer radiotherapy workflow - An assessment of patient experience. Radiography (London, England : 1995). vol 27. issue 1. 2021-09-29. PMID:32451307. this study explored patient experience of mr treatment planning scans in addition to a ct scan. 2021-09-29 2023-08-13 Not clear
Manuel Tucciarone, Luz López-Flórez, Tomas Martínez-Guirado, Rosalia Souviron-Encabo, Ricardo González-Orus Álvarez-Moruj. Lobular Capillary Hemangioma of the External Jugular Vein: A Rare Case Report. Iranian journal of otorhinolaryngology. vol 33. issue 117. 2021-09-24. PMID:34395327. ultrasound, computed tomography, mr imaging and angiography are useful diagnostic tools and are generally required when planning surgical treatment. 2021-09-24 2023-08-13 Not clear
Ammar A Chaudhry, Sohaib Naim, Maryam Gul, Abbas Chaudhry, Mike Chen, Rahul Jandial, Behnam Badi. Utility of Preoperative Blood-Oxygen-Level-Dependent Functional MR Imaging in Patients with a Central Nervous System Neoplasm. Neuroimaging clinics of North America. vol 31. issue 1. 2021-09-22. PMID:33220831. functional mr (fmr) imaging can offer a unique insight into preoperative planning for central nervous system (cns) neoplasms by identifying areas of the brain effected or spared by the neoplasm. 2021-09-22 2023-08-13 Not clear
Hesheng Wang, Jinyu Xue, Tanxia Qu, Kenneth Bernstein, Ting Chen, David Barbee, Joshua S Silverman, Douglas Kondziolk. Predicting local failure of brain metastases after stereotactic radiosurgery with radiomics on planning MR images and dose maps. Medical physics. vol 48. issue 9. 2021-09-22. PMID:34287940. predicting local failure of brain metastases after stereotactic radiosurgery with radiomics on planning mr images and dose maps. 2021-09-22 2023-08-13 Not clear
Hesheng Wang, Jinyu Xue, Tanxia Qu, Kenneth Bernstein, Ting Chen, David Barbee, Joshua S Silverman, Douglas Kondziolk. Predicting local failure of brain metastases after stereotactic radiosurgery with radiomics on planning MR images and dose maps. Medical physics. vol 48. issue 9. 2021-09-22. PMID:34287940. the purpose of this study is to investigate the potential of radiomic features from planning magnetic resonance (mr) images and dose maps to predict local failure after srs for brain metastases. 2021-09-22 2023-08-13 Not clear
Pierpaolo Palumbo, Julia Daffinà, Federico Bruno, Francesco Arrigoni, Alessandra Splendiani, Ernesto Di Cesare, Antonio Barile, Carlo Masciocch. Basics in Magnetic Resonance guided Focused Ultrasound: technical basis and clinical application. A brief overview. Acta bio-medica : Atenei Parmensis. vol 92. issue S5. 2021-09-20. PMID:34505842. mr guidance, through the tomographic view, offers the advantage of an accurate target detection and treatment planning. 2021-09-20 2023-08-13 Not clear
Tongxue Zhou, Stephane Canu, Pierre Vera, Su Rua. Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-09-06. PMID:33830924. accurately segmenting brain tumor from mr images is the key to clinical diagnostics and treatment planning. 2021-09-06 2023-08-13 Not clear
Roxana Pintican, Vlad Bura, Marta Zerunian, Janette Smith, Helen Addley, Susan Freeman, Damiano Caruso, Andrea Laghi, Evis Sala, Mercedes Jimenez-Lina. MRI of the endometrium - from normal appearances to rare pathology. The British journal of radiology. vol 94. issue 1125. 2021-08-27. PMID:34233457. mr findings allow a better risk assessment and ultimately guides the surgical planning. 2021-08-27 2023-08-13 Not clear
Wei-Kai Lee, Chih-Chun Wu, Cheng-Chia Lee, Chia-Feng Lu, Huai-Che Yang, Tzu-Hsuan Huang, Chun-Yi Lin, Wen-Yuh Chung, Po-Shan Wang, Hsiu-Mei Wu, Wan-Yuo Guo, Yu-Te W. Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning. Artificial intelligence in medicine. vol 107. 2021-08-18. PMID:32828450. combining analysis of multi-parametric mr images into a convolutional neural network: precise target delineation for vestibular schwannoma treatment planning. 2021-08-18 2023-08-13 Not clear
Wei-Kai Lee, Chih-Chun Wu, Cheng-Chia Lee, Chia-Feng Lu, Huai-Che Yang, Tzu-Hsuan Huang, Chun-Yi Lin, Wen-Yuh Chung, Po-Shan Wang, Hsiu-Mei Wu, Wan-Yuo Guo, Yu-Te W. Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning. Artificial intelligence in medicine. vol 107. 2021-08-18. PMID:32828450. manual delineation of vestibular schwannoma (vs) by magnetic resonance (mr) imaging is required for diagnosis, radiosurgery dose planning, and follow-up tumor volume measurement. 2021-08-18 2023-08-13 Not clear
Wei-Kai Lee, Chih-Chun Wu, Cheng-Chia Lee, Chia-Feng Lu, Huai-Che Yang, Tzu-Hsuan Huang, Chun-Yi Lin, Wen-Yuh Chung, Po-Shan Wang, Hsiu-Mei Wu, Wan-Yuo Guo, Yu-Te W. Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning. Artificial intelligence in medicine. vol 107. 2021-08-18. PMID:32828450. in this study, we retrospectively collected multi-parametric mr images from 516 patients with vs; these were extracted from the gamma knife radiosurgery planning system and consisted of t1-weighted (t1w), t2-weighted (t2w), and t1w with contrast (t1w + c) images. 2021-08-18 2023-08-13 Not clear