Literature DB >> 34157706

Diffusion MRI tractography for neurosurgery: the basics, current state, technical reliability and challenges.

Joseph Yuan-Mou Yang1,2,3,4, Chun-Hung Yeh5,6, Cyril Poupon7, Fernando Calamante8,9.   

Abstract

Diffusion magnetic resonance imaging (dMRI) tractography is currently the only imaging technique that allows for non-invasive delineation and visualisation of white matter (WM) tractsin vivo,prompting rapid advances in related fields of brain MRI research in recent years. One of its major clinical applications is for pre-surgical planning and intraoperative image guidance in neurosurgery, where knowledge about the location of WM tracts nearby the surgical target can be helpful to guide surgical resection and optimise post-surgical outcomes. Surgical injuries to these WM tracts can lead to permanent neurological and functional deficits, making the accuracy of tractography reconstructions paramount. The quality of dMRI tractography is influenced by many modifiable factors, ranging from MRI data acquisition through to the post-processing of tractography output, with the potential of error propagation based on decisions made at each and subsequent processing steps. Research over the last 25 years has significantly improved the anatomical accuracy of tractography. An updated review about tractography methodology in the context of neurosurgery is now timely given the thriving research activities in dMRI, to ensure more appropriate applications in the clinical neurosurgical realm. This article aims to review the dMRI physics, and tractography methodologies, highlighting recent advances to provide the key concepts of tractography-informed neurosurgery, with a focus on the general considerations, the current state of practice, technical challenges, potential advances, and future demands to this field. Creative Commons Attribution license.

Entities:  

Keywords:  diffusion MRI; fibre tracking; neurosurgery; reliability; tractography

Mesh:

Year:  2021        PMID: 34157706     DOI: 10.1088/1361-6560/ac0d90

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  3 in total

1.  Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Authors:  Kurt G Schilling; François Rheault; Laurent Petit; Colin B Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi-Gomez; Marco Pizzolato; Mario Ocampo-Pineda; Simona Schiavi; Erick J Canales-Rodríguez; Alessandro Daducci; Cristina Granziera; Giorgio Innocenti; Jean-Philippe Thiran; Laura Mancini; Stephen Wastling; Sirio Cocozza; Maria Petracca; Giuseppe Pontillo; Matteo Mancini; Sjoerd B Vos; Vejay N Vakharia; John S Duncan; Helena Melero; Lidia Manzanedo; Emilio Sanz-Morales; Ángel Peña-Melián; Fernando Calamante; Arnaud Attyé; Ryan P Cabeen; Laura Korobova; Arthur W Toga; Anupa Ambili Vijayakumari; Drew Parker; Ragini Verma; Ahmed Radwan; Stefan Sunaert; Louise Emsell; Alberto De Luca; Alexander Leemans; Claude J Bajada; Hamied Haroon; Hojjatollah Azadbakht; Maxime Chamberland; Sila Genc; Chantal M W Tax; Ping-Hong Yeh; Rujirutana Srikanchana; Colin D Mcknight; Joseph Yuan-Mou Yang; Jian Chen; Claire E Kelly; Chun-Hung Yeh; Jerome Cochereau; Jerome J Maller; Thomas Welton; Fabien Almairac; Kiran K Seunarine; Chris A Clark; Fan Zhang; Nikos Makris; Alexandra Golby; Yogesh Rathi; Lauren J O'Donnell; Yihao Xia; Dogu Baran Aydogan; Yonggang Shi; Francisco Guerreiro Fernandes; Mathijs Raemaekers; Shaun Warrington; Stijn Michielse; Alonso Ramírez-Manzanares; Luis Concha; Ramón Aranda; Mariano Rivera Meraz; Garikoitz Lerma-Usabiaga; Lucas Roitman; Lucius S Fekonja; Navona Calarco; Michael Joseph; Hajer Nakua; Aristotle N Voineskos; Philippe Karan; Gabrielle Grenier; Jon Haitz Legarreta; Nagesh Adluru; Veena A Nair; Vivek Prabhakaran; Andrew L Alexander; Koji Kamagata; Yuya Saito; Wataru Uchida; Christina Andica; Masahiro Abe; Roza G Bayrak; Claudia A M Gandini Wheeler-Kingshott; Egidio D'Angelo; Fulvia Palesi; Giovanni Savini; Nicolò Rolandi; Pamela Guevara; Josselin Houenou; Narciso López-López; Jean-François Mangin; Cyril Poupon; Claudio Román; Andrea Vázquez; Chiara Maffei; Mavilde Arantes; José Paulo Andrade; Susana Maria Silva; Vince D Calhoun; Eduardo Caverzasi; Simone Sacco; Michael Lauricella; Franco Pestilli; Daniel Bullock; Yang Zhan; Edith Brignoni-Perez; Catherine Lebel; Jess E Reynolds; Igor Nestrasil; René Labounek; Christophe Lenglet; Amy Paulson; Stefania Aulicka; Sarah R Heilbronner; Katja Heuer; Bramsh Qamar Chandio; Javier Guaje; Wei Tang; Eleftherios Garyfallidis; Rajikha Raja; Adam W Anderson; Bennett A Landman; Maxime Descoteaux
Journal:  Neuroimage       Date:  2021-08-22       Impact factor: 7.400

2.  Automatic oculomotor nerve identification based on data-driven fiber clustering.

Authors:  Jiahao Huang; Mengjun Li; Qingrun Zeng; Lei Xie; Jianzhong He; Ge Chen; Jiantao Liang; Mingchu Li; Yuanjing Feng
Journal:  Hum Brain Mapp       Date:  2022-01-29       Impact factor: 5.038

3.  Fibre tract segmentation for intraoperative diffusion MRI in neurosurgical patients using tract-specific orientation atlas and tumour deformation modelling.

Authors:  Fiona Young; Kristian Aquilina; Chris A Clark; Jonathan D Clayden
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-04-25       Impact factor: 3.421

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.