Literature DB >> 26277420

Design of a fused phantom for quantitative evaluation of brain metabolites and enhanced quality assurance testing for magnetic resonance imaging and spectroscopy.

Kyu-Ho Song1, Sang-Young Kim1, Do-Wan Lee1, Jin-Young Jung1, Jung-Hoon Lee1, Hyeon-Man Baek2, Bo-Young Choe3.   

Abstract

BACKGROUND: Magnetic resonance imaging and spectroscopy (MRI-MRS) is a useful tool for the identification and evaluation of chemical changes in anatomical regions. Quality assurance (QA) is performed in either images or spectra using QA phantom. Therefore, consistent and uniform technical MRI-MRS QA is crucial. NEW
METHOD: Here we developed an MRI-MRS fused phantom along with the inserts for metabolite quantification to simultaneously optimize QA parameters for both MRI and MRS. T1- and T2-weighted images were obtained and MRS was performed with point-resolved spectroscopy.
RESULTS: Using the fused phantom, the results of measuring MRI factors were: geometric distortion, <2% and ± 2 mm; image intensity uniformity, 83.09 ± 1.33%; percent-signal ghosting, 0.025 ± 0.004; low-contrast object detectability, 27.85 ± 0.80. In addition, the signal-to-noise ratio of N-acetyl-aspartate was consistently high (42.00 ± 5.66). COMPARISON WITH EXISTING
METHODS: In previous studies, MR phantoms could not obtain information from both images and spectra in the MR scanner simultaneously. Here we designed and developed a phantom for accurate and consistent QA within the acceptance range. It is important to take into account variations in the QA value using the MRI-MRS phantom, when comparing to other clinical or research MR scanners.
CONCLUSIONS: The MRI-MRS QA factors obtained simultaneously using the phantom can facilitate evaluation of both images and spectra, and provide guidelines for obtaining MRI and MRS QA factors simultaneously.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  MRI–MRS phantom; Metabolite quantification; Single voxel spectroscopy; T1-weighted image; T2-weighted image

Mesh:

Substances:

Year:  2015        PMID: 26277420     DOI: 10.1016/j.jneumeth.2015.08.005

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  5 in total

1.  A depth-sensing technique on 3D-printed compensator for total body irradiation patient measurement and treatment planning.

Authors:  Min-Young Lee; Bin Han; Cesare Jenkins; Lei Xing; Tae-Suk Suh
Journal:  Med Phys       Date:  2016-11       Impact factor: 4.071

Review 2.  Quantitative analysis of fetal magnetic resonance phantoms and recommendations for an anthropomorphic motion phantom.

Authors:  Michael Shulman; Eunyoung Cho; Bipin Aasi; Jin Cheng; Saiee Nithiyanantham; Nicole Waddell; Dafna Sussman
Journal:  MAGMA       Date:  2019-09-05       Impact factor: 2.310

3.  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

4.  Quality Control Procedure Based on Partitioning of NMR Time Series.

Authors:  Michał Staniszewski; Agnieszka Skorupa; Łukasz Boguszewicz; Maria Sokół; Andrzej Polański
Journal:  Sensors (Basel)       Date:  2018-03-06       Impact factor: 3.576

5.  Metal artifacts with dental implants: Evaluation using a dedicated CT/MR oral phantom with registration of the CT and MR images.

Authors:  Min-Young Lee; Kyu-Ho Song; Jeong-Woo Lee; Bo-Young Choe; Tae Suk Suh
Journal:  Sci Rep       Date:  2019-01-24       Impact factor: 4.379

  5 in total

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