Literature DB >> 24519001

MRI distortion: considerations for MRI based radiotherapy treatment planning.

Amy Walker1, Gary Liney, Peter Metcalfe, Lois Holloway.   

Abstract

Distortion in magnetic resonance images needs to be taken into account for the purposes of radiotherapy treatment planning (RTP). A commercial MRI grid phantom was scanned on four different MRI scanners with multiple sequences to assess variations in the geometric distortion. The distortions present across the field of view were then determined. The effect of varying bandwidth on image distortion and signal to noise was also investigated. Distortion maps were created and these were compared to the location of patient anatomy within the scanner bore to estimate the magnitude and distribution of distortions located within specific clinical regions. Distortion magnitude and patterns varied between MRI sequence protocols and scanners. The magnitude of the distortions increased with increasing distance from the isocentre of the scanner within a 2D imaging plane. Average distortion across the phantom generally remained below 2.0 mm, although towards the edge of the phantom for a turbo spin echo sequence, the distortion increased to a maximum value of 4.1 mm. Application of correction algorithms supplied by each vendor reduced but did not completely remove distortions. Increasing the bandwidth of the acquisition sequence decreased the amount of distortion at the expense of a reduction in signal-to-noise ratio of 13.5 across measured bandwidths. Imaging protocol parameters including bandwidth, slice thickness and phase encoding direction, should be noted for distortion investigations in RTP since each can influence the distortion. The magnitude of distortion varies across different clinical sites.

Entities:  

Mesh:

Year:  2014        PMID: 24519001     DOI: 10.1007/s13246-014-0252-2

Source DB:  PubMed          Journal:  Australas Phys Eng Sci Med        ISSN: 0158-9938            Impact factor:   1.430


  39 in total

Review 1.  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

2.  Geometric distortion in magnetic resonance imaging systems assessed using an open-source plugin for scientific image analysis.

Authors:  Takahiro Aoyama; Hidetoshi Shimizu; Ikuo Shimizu; Atsushi Teramoto; Naoki Kaneda; Kazuhiko Nakamura; Masaru Nakamura; Takeshi Kodaira
Journal:  Radiol Phys Technol       Date:  2018-09-25

3.  Multiatlas approach with local registration goodness weighting for MRI-based electron density mapping of head and neck anatomy.

Authors:  Reza Farjam; Neelam Tyagi; Harini Veeraraghavan; Aditya Apte; Kristen Zakian; Margie A Hunt; Joseph O Deasy
Journal:  Med Phys       Date:  2017-06-01       Impact factor: 4.071

4.  MRI-based treatment planning for brain stereotactic radiosurgery: Dosimetric validation of a learning-based pseudo-CT generation method.

Authors:  Tonghe Wang; Nivedh Manohar; Yang Lei; Anees Dhabaan; Hui-Kuo Shu; Tian Liu; Walter J Curran; Xiaofeng Yang
Journal:  Med Dosim       Date:  2018-08-14       Impact factor: 1.482

Review 5.  Emerging role of MRI in radiation therapy.

Authors:  Hersh Chandarana; Hesheng Wang; R H N Tijssen; Indra J Das
Journal:  J Magn Reson Imaging       Date:  2018-09-08       Impact factor: 4.813

6.  Technical feasibility of integrating 7 T anatomical MRI in image-guided radiotherapy of glioblastoma: a preparatory study.

Authors:  Inge Compter; Jurgen Peerlings; Daniëlle B P Eekers; Alida A Postma; Dimo Ivanov; Christopher J Wiggins; Pieter Kubben; Benno Küsters; Pieter Wesseling; Linda Ackermans; Olaf E M G Schijns; Philippe Lambin; Aswin L Hoffmann
Journal:  MAGMA       Date:  2016-03-30       Impact factor: 2.310

7.  Technical Note: Characterization and correction of gradient nonlinearity induced distortion on a 1.0 T open bore MR-SIM.

Authors:  Ryan G Price; Mo Kadbi; Joshua Kim; James Balter; Indrin J Chetty; Carri K Glide-Hurst
Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

8.  Prospective observer and software-based assessment of magnetic resonance imaging quality in head and neck cancer: Should standard positioning and immobilization be required for radiation therapy applications?

Authors:  Yao Ding; Abdallah S R Mohamed; Jinzhong Yang; Rivka R Colen; Steven J Frank; Jihong Wang; Eslam Y Wassal; Wenjie Wang; Michael E Kantor; Peter A Balter; David I Rosenthal; Stephen Y Lai; John D Hazle; Clifton D Fuller
Journal:  Pract Radiat Oncol       Date:  2014-12-17

Review 9.  The role of imaging in the clinical practice of radiation oncology for pancreatic cancer.

Authors:  Eugene J Koay; William Hall; Peter C Park; Beth Erickson; Joseph M Herman
Journal:  Abdom Radiol (NY)       Date:  2018-02

10.  Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.

Authors:  Fan Tang; Shujun Liang; Tao Zhong; Xia Huang; Xiaogang Deng; Yu Zhang; Linghong Zhou
Journal:  Eur Radiol       Date:  2019-10-24       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.