Literature DB >> 15120173

A novel phantom and method for comprehensive 3-dimensional measurement and correction of geometric distortion in magnetic resonance imaging.

Deming Wang1, David M Doddrell, Gary Cowin.   

Abstract

A phantom that can be used for mapping geometric distortion in magnetic resonance imaging (MRI) is described. This phantom provides an array of densely distributed control points in three-dimensional (3D) space. These points form the basis of a comprehensive measurement method to correct for geometric distortion in MR images arising principally from gradient field non-linearity and magnet field inhomogeneity. The phantom was designed based on the concept that a point in space can be defined using three orthogonal planes. This novel design approach allows for as many control points as desired. Employing this novel design, a highly accurate method has been developed that enables the positions of the control points to be measured to sub-voxel accuracy. The phantom described in this paper was constructed to fit into a body coil of a MRI scanner, (external dimensions of the phantom were: 310 mm x 310 mm x 310 mm), and it contained 10,830 control points. With this phantom, the mean errors in the measured coordinates of the control points were on the order of 0.1 mm or less, which were less than one tenth of the voxel's dimensions of the phantom image. The calculated three-dimensional distortion map, i.e., the differences between the image positions and true positions of the control points, can then be used to compensate for geometric distortion for a full image restoration. It is anticipated that this novel method will have an impact on the applicability of MRI in both clinical and research settings, especially in areas where geometric accuracy is highly required, such as in MR neuro-imaging.

Mesh:

Year:  2004        PMID: 15120173     DOI: 10.1016/j.mri.2004.01.008

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  40 in total

1.  Four-dimensional magnetic resonance imaging (4D-MRI) using image-based respiratory surrogate: a feasibility study.

Authors:  Jing Cai; Zheng Chang; Zhiheng Wang; William Paul Segars; Fang-Fang Yin
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  NonCartesian MR image reconstruction with integrated gradient nonlinearity correction.

Authors:  Shengzhen Tao; Joshua D Trzasko; Yunhong Shu; John Huston; Kevin M Johnson; Paul T Weavers; Erin M Gray; Matt A Bernstein
Journal:  Med Phys       Date:  2015-12       Impact factor: 4.071

3.  Ultrafast compartmentalized relaxation time mapping with linear algebraic modeling.

Authors:  Yi Zhang; Xiaoyang Liu; Jinyuan Zhou; Paul A Bottomley
Journal:  Magn Reson Med       Date:  2017-04-11       Impact factor: 4.668

4.  Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1 -weighted brain MRI acquisitions.

Authors:  Nico Papinutto; Rohit Bakshi; Antje Bischof; Peter A Calabresi; Eduardo Caverzasi; R Todd Constable; Esha Datta; Gina Kirkish; Govind Nair; Jiwon Oh; Daniel Pelletier; Dzung L Pham; Daniel S Reich; William Rooney; Snehashis Roy; Daniel Schwartz; Russell T Shinohara; Nancy L Sicotte; William A Stern; Ian Tagge; Shahamat Tauhid; Subhash Tummala; Roland G Henry
Journal:  Magn Reson Med       Date:  2017-06-15       Impact factor: 4.668

5.  MRI quality control for the Italian Neuroimaging Network Initiative: moving towards big data in multiple sclerosis.

Authors:  Loredana Storelli; Maria A Rocca; Patrizia Pantano; Elisabetta Pagani; Nicola De Stefano; Gioacchino Tedeschi; Paola Zaratin; Massimo Filippi
Journal:  J Neurol       Date:  2019-08-17       Impact factor: 4.849

6.  Characterization of hardware-related spatial distortions for IR-PETRA pulse sequence using a brain specific phantom.

Authors:  Sima Ahmadian; Iraj Jabbari; Seyed Mehdi Bagherimofidi; Hamidreza Saligheh Rad
Journal:  MAGMA       Date:  2020-07-06       Impact factor: 2.310

Review 7.  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

8.  Wide slab is useful for routine quality control of MRI slice thickness.

Authors:  Yoshiyuki Ishimori; Masahiko Monma; Hiraku Kawamura
Journal:  Radiol Phys Technol       Date:  2018-06-19

9.  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

10.  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
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