Literature DB >> 9691900

Radiotherapy treatment planning of brain tumours using MRI alone.

A W Beavis1, P Gibbs, R A Dealey, V J Whitton.   

Abstract

MRI of the brain can provide images of very high quality revealing detailed information especially concerning the extent of abnormalities. As such MRI has great potential in the radiotherapy (RT) planning of brain tumours. However MRI has rarely been used alone as the basis for treatment planning primarily due to concern over potential geometric distortions. Treatment planning using MRI has therefore usually been carried out in conjunction with CT images. This work demonstrates that geometric distortions can be minimized by using a relatively small field-of-view, an increased receiver bandwidth, and a fast spin echo acquisition sequence, and that it is thus possible to perform RT planning using MRI.

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Year:  1998        PMID: 9691900     DOI: 10.1259/bjr.71.845.9691900

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  19 in total

Review 1.  The future of image-guided radiotherapy will be MR guided.

Authors:  Julianne M Pollard; Zhifei Wen; Ramaswamy Sadagopan; Jihong Wang; Geoffrey S Ibbott
Journal:  Br J Radiol       Date:  2017-03-29       Impact factor: 3.039

Review 2.  Magnetic resonance image guidance in external beam radiation therapy planning and delivery.

Authors:  Ilamurugu Arivarasan; Chandrasekaran Anuradha; Shanmuga Subramanian; Ayyalusamy Anantharaman; Velayudham Ramasubramanian
Journal:  Jpn J Radiol       Date:  2017-06-13       Impact factor: 2.374

3.  Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions.

Authors:  Joakim H Jonsson; Magnus G Karlsson; Mikael Karlsson; Tufve Nyholm
Journal:  Radiat Oncol       Date:  2010-06-30       Impact factor: 3.481

4.  Development of a hybrid magnetic resonance/computed tomography-compatible phantom for magnetic resonance guided radiotherapy.

Authors:  Min-Joo Kim; Seu-Ran Lee; Kyu-Ho Song; Hyeon-Man Baek; Bo-Young Choe; Tae Suk Suh
Journal:  J Radiat Res       Date:  2020-03-23       Impact factor: 2.724

5.  Synthetic CT for MRI-based liver stereotactic body radiotherapy treatment planning.

Authors:  Jeremy S Bredfeldt; Lianli Liu; Mary Feng; Yue Cao; James M Balter
Journal:  Phys Med Biol       Date:  2017-03-17       Impact factor: 3.609

Review 6.  MRI-only treatment planning: benefits and challenges.

Authors:  Amir M Owrangi; Peter B Greer; Carri K Glide-Hurst
Journal:  Phys Med Biol       Date:  2018-02-26       Impact factor: 3.609

7.  Distortion inherent to magnetic resonance imaging can lead to geometric miss in radiosurgery planning.

Authors:  Tyler M Seibert; Nathan S White; Gwe-Ya Kim; Vitali Moiseenko; Carrie R McDonald; Nikdokht Farid; Hauke Bartsch; Joshua Kuperman; Roshan Karunamuni; Deborah Marshall; Dominic Holland; Parag Sanghvi; Daniel R Simpson; Arno J Mundt; Anders M Dale; Jona A Hattangadi-Gluth
Journal:  Pract Radiat Oncol       Date:  2016-06-01

8.  Commissioning of a new wide-bore MRI scanner for radiotherapy planning of head and neck cancer.

Authors:  G P Liney; S C Owen; A K E Beaumont; V R Lazar; D J Manton; A W Beavis
Journal:  Br J Radiol       Date:  2013-05-20       Impact factor: 3.039

9.  Prospective feasibility analysis of a novel off-line approach for MR-guided radiotherapy.

Authors:  Tilman Bostel; Asja Pfaffenberger; Stefan Delorme; Constantin Dreher; Gernot Echner; Peter Haering; Clemens Lang; Mona Splinter; Frederik Laun; Marco Müller; Oliver Jäkel; Jürgen Debus; Peter E Huber; Florian Sterzing; Nils H Nicolay
Journal:  Strahlenther Onkol       Date:  2018-01-18       Impact factor: 3.621

10.  Intensity non-uniformity correction in MR imaging using residual cycle generative adversarial network.

Authors:  Xianjin Dai; Yang Lei; Yingzi Liu; Tonghe Wang; Lei Ren; Walter J Curran; Pretesh Patel; Tian Liu; Xiaofeng Yang
Journal:  Phys Med Biol       Date:  2020-11-27       Impact factor: 3.609

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