Literature DB >> 9132820

Magnetic resonance imaging (MRI): considerations and applications in radiotherapy treatment planning.

V S Khoo1, D P Dearnaley, D J Finnigan, A Padhani, S F Tanner, M O Leach.   

Abstract

The emerging utilisation of conformal radiotherapy (RT) planning requires sophisticated imaging modalities. Magnetic resonance imaging (MRI) has introduced several added imaging benefits that may confer an advantage over the use of computed tomography (CT) in RT planning such as improved soft tissue definition, unrestricted multiplannar and volumetric imaging as well as physiological and biochemical information with magnetic resonance (MR) angiography and spectroscopy. However, MRI has not yet seriously challenged CT for RT planning in most sites. The reasons for this include: (1) the poor imaging of bone and the lack of electron density information from MRI required for dosimetry calculations; (2) the presence of intrinsic system-related and object-induced MR image distortions; (3) the paucity of widely available computer software to accurately and reliably integrate and manipulate MR images within existing RT planning systems. In this review, the basic principals of MRI with its present potential and limitations for RT planning as well as possible solutions will be examined. Methods of MRI data acquisition and processing including image segmentation and registration to allow its application in RT planning will be discussed. Despite the difficulties listed, MRI has complemented CT-based RT planning and in some regions of the body especially the brain, it has been used alone with some success. Recent work with doped gel compounds allow the MRI mapping of dose distributions thus potentially providing a quality assurance tool and in a manner analogous to CT, the production of dose-response information in the form of dose volume histograms. However, despite the promise of MRI, much development research remains before its full potential and cost-effectiveness can be assessed.

Mesh:

Year:  1997        PMID: 9132820     DOI: 10.1016/s0167-8140(96)01866-x

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  39 in total

1.  [Possibilities of an open magnetic resonance scanner integration in therapy simulation and three-dimensional radiotherapy planning].

Authors:  K Schubert; F Wenz; R Krempien; O Schramm; G Sroka-Perez; P Schraube; M Wannenmacher
Journal:  Strahlenther Onkol       Date:  1999-05       Impact factor: 3.621

2.  Magnetically-enabled and MR-monitored selective brain tumor protein delivery in rats via magnetic nanocarriers.

Authors:  Beata Chertok; Allan E David; Victor C Yang
Journal:  Biomaterials       Date:  2011-05-31       Impact factor: 12.479

Review 3.  Magnetic resonance imaging in lung: a review of its potential for radiotherapy.

Authors:  Shivani Kumar; Gary Liney; Robba Rai; Lois Holloway; Daniel Moses; Shalini K Vinod
Journal:  Br J Radiol       Date:  2016-02-03       Impact factor: 3.039

4.  Assessing the image quality of pelvic MR images acquired with a flat couch for radiotherapy treatment planning.

Authors:  M McJury; A O'Neill; M Lawson; C McGrath; A Grey; W Page; J M O'Sullivan
Journal:  Br J Radiol       Date:  2011-08       Impact factor: 3.039

5.  Image quality assessment of a 1.5T dedicated magnetic resonance-simulator for radiotherapy with a flexible radio frequency coil setting using the standard American College of Radiology magnetic resonance imaging phantom test.

Authors:  Oi Lei Wong; Jing Yuan; Siu Ki Yu; Kin Yin Cheung
Journal:  Quant Imaging Med Surg       Date:  2017-04

6.  MR simulation for prostate radiation therapy: effect of coil mounting position on image quality.

Authors:  J Sun; P Pichler; J Dowling; F Menk; P Stanwell; J Arm; P B Greer
Journal:  Br J Radiol       Date:  2014-07-25       Impact factor: 3.039

7.  Validation of the CT-MRI image registration with a dedicated phantom.

Authors:  Sofia Spampinato; Anna Maria Gueli; Luigi Raffaele; Concetta Stancampiano; Giovanni Carlo Ettorre
Journal:  Radiol Med       Date:  2014-07-15       Impact factor: 3.469

8.  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

9.  Different methods for target volume delineation of glandular breast tissue following breast-conserving surgery in breast cancer: A comparative study.

Authors:  Min Xu; Jianbin Li; Shanshan Liu; Suzhen Wang; Wei Wang; Fengxiang Li; Tonghai Liu; Jinming Yu
Journal:  Oncol Lett       Date:  2015-06-10       Impact factor: 2.967

10.  Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching.

Authors:  Wenan Chen; Rebecca Smith; Soo-Yeon Ji; Kevin R Ward; Kayvan Najarian
Journal:  BMC Med Inform Decis Mak       Date:  2009-11-03       Impact factor: 2.796

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