Literature DB >> 11054528

Reproducibility of geometric distortion in magnetic resonance imaging based on phantom studies.

T Mizowaki1, Y Nagata, K Okajima, M Kokubo, Y Negoro, N Araki, M Hiraoka.   

Abstract

BACKGROUND AND
PURPOSE: Image distortion is one of the major drawbacks of magnetic resonance (MR) imaging for use in radiotherapy treatment planning (RTTP). In this study, the reproducibility of MR imaging distortion was evaluated by repeated phantom measurements.
MATERIALS AND METHODS: A grid-pattern acrylic phantom was scanned with a 0.2-Tesla permanent magnetic unit. We repeated a series of scans three times to evaluate the reproducibility of the distortion. In each series, co-ordinates at 432 intersections of the grid were measured for both T1- and T2-weighted spin-echo (SE) pulse sequences. Positional displacements and their variations at the intersections were calculated.
RESULTS: Averages of the displacements were distributed between 1.58 and 1.74 mm, and maximum values (MAX) between 12.6 and 15.0 mm. Within 120 mm of the image center, the average values ranged from 0.73 to 0.80 mm, and from 3.4 to 5.0 mm for MAX. The absolute values of the positional variations among three series were distributed between 0.41 and 0.88 mm for average values, and between 1.4 and 4.5 mm for MAX.
CONCLUSIONS: The positional variations were mostly within 3 pixels, and most of the positional displacements within the radius of 120 mm of the image center were 2 mm or less. Therefore, it will be possible to use this MR system in RTTP under limited situations, although careful applications are required for RTTP of the body. The development of a computer program to correct image distortion is expected.

Mesh:

Year:  2000        PMID: 11054528     DOI: 10.1016/s0167-8140(00)00234-6

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


  15 in total

1.  Definition of the CTV prostate in CT and MRI by using CT-MRI image fusion in IMRT planning for prostate cancer.

Authors:  Bettina Hentschel; Wolfgang Oehler; Dirk Strauss; Andreas Ulrich; Ansgar Malich
Journal:  Strahlenther Onkol       Date:  2011-02-24       Impact factor: 3.621

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.  Distortion correction in whole-body imaging of live mice using a 1-Tesla compact magnetic resonance imaging system.

Authors:  Shigeru Kiryu; Yusuke Inoue; Yoshitaka Masutani; Tomoyuki Haishi; Kohki Yoshikawa; Makoto Watanabe; Kuni Ohtomo
Journal:  Jpn J Radiol       Date:  2011-06-30       Impact factor: 2.374

4.  Evaluation of the ability of the Brainlab Elements Cranial Distortion Correction algorithm to correct clinically relevant MRI distortions for cranial SRT.

Authors:  Paul Retif; Abdourahamane Djibo Sidikou; Christian Mathis; Romain Letellier; Emilie Verrecchia-Ramos; Rémi Dupres; Xavier Michel
Journal:  Strahlenther Onkol       Date:  2022-08-18       Impact factor: 4.033

Review 5.  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

6.  Phantom-based characterization of distortion on a magnetic resonance imaging simulator for radiation oncology.

Authors:  Ke Colin Huang; Yue Cao; Umar Baharom; James M Balter
Journal:  Phys Med Biol       Date:  2016-01-06       Impact factor: 3.609

7.  A modular phantom and software to characterize 3D geometric distortion in MRI.

Authors:  Jordan M Slagowski; Yao Ding; Manik Aima; Zhifei Wen; Clifton D Fuller; Caroline Chung; J Matthew Debnam; Ken-Pin Hwang; Mo Kadbi; Janio Szklaruk; Jihong Wang
Journal:  Phys Med Biol       Date:  2020-09-28       Impact factor: 3.609

8.  Addition of magnetic resonance imaging to computed tomography-based three-dimensional conformal radiotherapy planning for postoperative treatment of astrocytomas: Changes in tumor volume and isocenter shift.

Authors:  Puneet Kumar Bagri; Akhil Kapoor; Daleep Singh; Mukesh Kumar Singhal; Satya Narayan; Harvindra Singh Kumar
Journal:  South Asian J Cancer       Date:  2015 Jan-Mar

9.  Radiotherapy planning using MRI.

Authors:  Maria A Schmidt; Geoffrey S Payne
Journal:  Phys Med Biol       Date:  2015-10-28       Impact factor: 3.609

10.  Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers.

Authors:  Craig S Moore; Gary P Liney; Andrew W Beavis
Journal:  J Appl Clin Med Phys       Date:  2004-01-01       Impact factor: 2.102

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.