Cover Image

Artificial intelligence in magnetic resonance guided radiotherapy: medical and physical considerations on state of art and future perspectives

Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast compared to on-board CT-based systems, MRgRT is expected to significantly improve the treatment in many situations. MRgRT...

Full description

Saved in:
Bibliographic Details
Main Authors: Cusumano, Davide (Author) , Boldrini, Luca (Author) , Dhont, Jennifer (Author) , Fiorino, Claudio (Author) , Green, Olga (Author) , Güngör, Görkem (Author) , Jornet, Núria (Author) , Klüter, Sebastian (Author) , Landry, Guillaume (Author) , Mattiucci, Gian Carlo (Author) , Placidi, Lorenzo (Author) , Reynaert, Nick (Author) , Ruggieri, Ruggero (Author) , Tanadini-Lang, Stephanie (Author) , Thorwarth, Daniela (Author) , Yadav, Poonam (Author) , Yang, Yingli (Author) , Valentini, Vincenzo (Author) , Verellen, Dirk (Author) , Indovina, Luca (Author)
Format: Article (Journal)
Language:English
Published: 19 May 2021
In: Physica medica
Year: 2021, Volume: 85, Pages: 175-191
ISSN:1724-191X
DOI:10.1016/j.ejmp.2021.05.010
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.ejmp.2021.05.010
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S1120179721001915
Get full text
Author Notes:Davide Cusumano, Luca Boldrini, Jennifer Dhont, Claudio Fiorino, Olga Green, Görkem Güngör, Núria Jornet, Sebastian Klüter, Guillaume Landry, Gian Carlo Mattiucci, Lorenzo Placidi, Nick Reynaert, Ruggero Ruggieri, Stephanie Tanadini-Lang, Daniela Thorwarth, Poonam Yadav, Yingli Yang, Vincenzo Valentini, Dirk Verellen, Luca Indovina

MARC

LEADER 00000caa a2200000 c 4500
001 176761974X
003 DE-627
005 20230426082507.0
007 cr uuu---uuuuu
008 210820s2021 xx |||||o 00| ||eng c
024 7 |a 10.1016/j.ejmp.2021.05.010  |2 doi 
035 |a (DE-627)176761974X 
035 |a (DE-599)KXP176761974X 
035 |a (OCoLC)1341420871 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 33  |2 sdnb 
100 1 |a Cusumano, Davide  |e VerfasserIn  |0 (DE-588)1239450486  |0 (DE-627)1767619618  |4 aut 
245 1 0 |a Artificial intelligence in magnetic resonance guided radiotherapy  |b medical and physical considerations on state of art and future perspectives  |c Davide Cusumano, Luca Boldrini, Jennifer Dhont, Claudio Fiorino, Olga Green, Görkem Güngör, Núria Jornet, Sebastian Klüter, Guillaume Landry, Gian Carlo Mattiucci, Lorenzo Placidi, Nick Reynaert, Ruggero Ruggieri, Stephanie Tanadini-Lang, Daniela Thorwarth, Poonam Yadav, Yingli Yang, Vincenzo Valentini, Dirk Verellen, Luca Indovina 
264 1 |c 19 May 2021 
300 |a 17 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a Gesehen am 20.08.2021 
520 |a Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast compared to on-board CT-based systems, MRgRT is expected to significantly improve the treatment in many situations. MRgRT systems may extend the management of inter- and intra-fraction anatomical changes, offering the possibility of online adaptation of the dose distribution according to daily patient anatomy and to directly monitor tumor motion during treatment delivery by means of a continuous cine MR acquisition. Online adaptive treatments require a multidisciplinary and well-trained team, able to perform a series of operations in a safe, precise and fast manner while the patient is waiting on the treatment couch. Artificial Intelligence (AI) is expected to rapidly contribute to MRgRT, primarily by safely and efficiently automatising the various manual operations characterizing online adaptive treatments. Furthermore, AI is finding relevant applications in MRgRT in the fields of image segmentation, synthetic CT reconstruction, automatic (on-line) planning and the development of predictive models based on daily MRI. This review provides a comprehensive overview of the current AI integration in MRgRT from a medical physicist’s perspective. Medical physicists are expected to be major actors in solving new tasks and in taking new responsibilities: their traditional role of guardians of the new technology implementation will change with increasing emphasis on the managing of AI tools, processes and advanced systems for imaging and data analysis, gradually replacing many repetitive manual tasks. 
650 4 |a Artificial Intelligence 
650 4 |a Deep learning 
650 4 |a MR-guided Radiotherapy 
650 4 |a MR-Linac 
650 4 |a Online Adaptive Radiotherapy 
700 1 |a Boldrini, Luca  |e VerfasserIn  |4 aut 
700 1 |a Dhont, Jennifer  |e VerfasserIn  |4 aut 
700 1 |a Fiorino, Claudio  |e VerfasserIn  |4 aut 
700 1 |a Green, Olga  |e VerfasserIn  |4 aut 
700 1 |a Güngör, Görkem  |e VerfasserIn  |4 aut 
700 1 |a Jornet, Núria  |e VerfasserIn  |4 aut 
700 1 |a Klüter, Sebastian  |d 1980-  |e VerfasserIn  |0 (DE-588)1071160796  |0 (DE-627)825622646  |0 (DE-576)311255248  |4 aut 
700 1 |a Landry, Guillaume  |e VerfasserIn  |4 aut 
700 1 |a Mattiucci, Gian Carlo  |e VerfasserIn  |4 aut 
700 1 |a Placidi, Lorenzo  |e VerfasserIn  |4 aut 
700 1 |a Reynaert, Nick  |e VerfasserIn  |4 aut 
700 1 |a Ruggieri, Ruggero  |e VerfasserIn  |4 aut 
700 1 |a Tanadini-Lang, Stephanie  |e VerfasserIn  |4 aut 
700 1 |a Thorwarth, Daniela  |e VerfasserIn  |4 aut 
700 1 |a Yadav, Poonam  |e VerfasserIn  |4 aut 
700 1 |a Yang, Yingli  |e VerfasserIn  |4 aut 
700 1 |a Valentini, Vincenzo  |e VerfasserIn  |4 aut 
700 1 |a Verellen, Dirk  |e VerfasserIn  |4 aut 
700 1 |a Indovina, Luca  |e VerfasserIn  |4 aut 
773 0 8 |i Enthalten in  |t Physica medica  |d Amsterdam : Elsevier, 1996  |g 85(2021) vom: 19. Mai, Seite 175-191  |h Online-Ressource  |w (DE-627)364471417  |w (DE-600)2110535-2  |w (DE-576)272350176  |x 1724-191X  |7 nnas  |a Artificial intelligence in magnetic resonance guided radiotherapy medical and physical considerations on state of art and future perspectives 
773 1 8 |g volume:85  |g year:2021  |g day:19  |g month:05  |g pages:175-191  |g extent:17  |a Artificial intelligence in magnetic resonance guided radiotherapy medical and physical considerations on state of art and future perspectives 
856 4 0 |u https://doi.org/10.1016/j.ejmp.2021.05.010  |x Verlag  |x Resolving-System  |z lizenzpflichtig  |3 Volltext 
856 4 0 |u https://www.sciencedirect.com/science/article/pii/S1120179721001915  |x Verlag  |z lizenzpflichtig  |3 Volltext 
951 |a AR 
992 |a 20210820 
993 |a Article 
994 |a 2021 
998 |g 1071160796  |a Klüter, Sebastian  |m 1071160796:Klüter, Sebastian  |d 910000  |d 911400  |e 910000PK1071160796  |e 911400PK1071160796  |k 0/910000/  |k 1/910000/911400/  |p 8 
999 |a KXP-PPN176761974X  |e 3970180147 
BIB |a Y 
SER |a journal 
JSO |a {"note":["Gesehen am 20.08.2021"],"relHost":[{"note":["Fortsetzung der Druck-Ausgabe","Gesehen am 12.11.2021"],"type":{"bibl":"periodical","media":"Online-Ressource"},"pubHistory":["Nachgewiesen 12.1996 -"],"physDesc":[{"extent":"Online-Ressource"}],"language":["eng"],"title":[{"title":"Physica medica","subtitle":"European journal of medical physics ; an international journal devoted to the applications of physics to medicine and biology","title_sort":"Physica medica"}],"recId":"364471417","disp":"Artificial intelligence in magnetic resonance guided radiotherapy medical and physical considerations on state of art and future perspectivesPhysica medica","origin":[{"publisherPlace":"Amsterdam ; Pisa","dateIssuedKey":"1996","publisher":"Elsevier ; Istituti Editoriali e Poligrafici Internazionali","dateIssuedDisp":"1996-"}],"id":{"eki":["364471417"],"issn":["1724-191X"],"zdb":["2110535-2"]},"part":{"pages":"175-191","volume":"85","extent":"17","text":"85(2021) vom: 19. Mai, Seite 175-191","year":"2021"}}],"type":{"bibl":"article-journal","media":"Online-Ressource"},"language":["eng"],"physDesc":[{"extent":"17 S."}],"person":[{"display":"Cusumano, Davide","family":"Cusumano","given":"Davide","role":"aut"},{"display":"Boldrini, Luca","role":"aut","given":"Luca","family":"Boldrini"},{"display":"Dhont, Jennifer","given":"Jennifer","role":"aut","family":"Dhont"},{"display":"Fiorino, Claudio","role":"aut","given":"Claudio","family":"Fiorino"},{"display":"Green, Olga","given":"Olga","role":"aut","family":"Green"},{"display":"Güngör, Görkem","given":"Görkem","role":"aut","family":"Güngör"},{"display":"Jornet, Núria","given":"Núria","role":"aut","family":"Jornet"},{"role":"aut","given":"Sebastian","family":"Klüter","display":"Klüter, Sebastian"},{"family":"Landry","given":"Guillaume","role":"aut","display":"Landry, Guillaume"},{"display":"Mattiucci, Gian Carlo","family":"Mattiucci","role":"aut","given":"Gian Carlo"},{"display":"Placidi, Lorenzo","role":"aut","given":"Lorenzo","family":"Placidi"},{"display":"Reynaert, Nick","given":"Nick","role":"aut","family":"Reynaert"},{"display":"Ruggieri, Ruggero","given":"Ruggero","role":"aut","family":"Ruggieri"},{"family":"Tanadini-Lang","role":"aut","given":"Stephanie","display":"Tanadini-Lang, Stephanie"},{"family":"Thorwarth","given":"Daniela","role":"aut","display":"Thorwarth, Daniela"},{"family":"Yadav","given":"Poonam","role":"aut","display":"Yadav, Poonam"},{"given":"Yingli","role":"aut","family":"Yang","display":"Yang, Yingli"},{"display":"Valentini, Vincenzo","family":"Valentini","role":"aut","given":"Vincenzo"},{"display":"Verellen, Dirk","family":"Verellen","role":"aut","given":"Dirk"},{"display":"Indovina, Luca","role":"aut","given":"Luca","family":"Indovina"}],"title":[{"title_sort":"Artificial intelligence in magnetic resonance guided radiotherapy","subtitle":"medical and physical considerations on state of art and future perspectives","title":"Artificial intelligence in magnetic resonance guided radiotherapy"}],"name":{"displayForm":["Davide Cusumano, Luca Boldrini, Jennifer Dhont, Claudio Fiorino, Olga Green, Görkem Güngör, Núria Jornet, Sebastian Klüter, Guillaume Landry, Gian Carlo Mattiucci, Lorenzo Placidi, Nick Reynaert, Ruggero Ruggieri, Stephanie Tanadini-Lang, Daniela Thorwarth, Poonam Yadav, Yingli Yang, Vincenzo Valentini, Dirk Verellen, Luca Indovina"]},"recId":"176761974X","id":{"eki":["176761974X"],"doi":["10.1016/j.ejmp.2021.05.010"]},"origin":[{"dateIssuedDisp":"19 May 2021","dateIssuedKey":"2021"}]} 
SRT |a CUSUMANODAARTIFICIAL1920 

Similar Items