Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor

Abstract Background Safe robot-assisted intervention using magnetic resonance imaging (MRI) guidance requires the precise control of assistive devices, and most currently available tools are rarely MRI-compatible. To obtain high precision, it is necessary to characterize and develop existing MRI-saf...

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Main Authors: Peyman Shokrollahi, James M. Drake, Andrew A. Goldenberg
Format: Article
Language:English
Published: BMC 2017-04-01
Series:BioMedical Engineering OnLine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12938-017-0331-1
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author Peyman Shokrollahi
James M. Drake
Andrew A. Goldenberg
author_facet Peyman Shokrollahi
James M. Drake
Andrew A. Goldenberg
author_sort Peyman Shokrollahi
collection DOAJ
description Abstract Background Safe robot-assisted intervention using magnetic resonance imaging (MRI) guidance requires the precise control of assistive devices, and most currently available tools are rarely MRI-compatible. To obtain high precision, it is necessary to characterize and develop existing MRI-safe actuators for use in a high magnetic field (≥3 T). Although an ultrasonic motor (USM) is considered to be an MRI-safe actuator, and can be used in the vicinity of a high field scanner, its presence interferes with MR images. Although an MR image provides valuable information regarding the pathology of a patient’s body, noise, generally of a granular type, decreases the quality of the image and jeopardizes the true evaluation of any existing pathological issues. An eddy current induced in the conductor material of the motor structure can be a source of noise when the motor is close to the isocenter of the image. We aimed to assess the effects of a USM on the signal-to-noise ratio (SNR) of MR images in a 3-T scanner. The SNR was compared for four image sequences in transverse directions for three orientations of the motor (x, y, and z) when the motor was in the “off” state. The SNR was evaluated to assess three artifact reduction methods used to minimize the motor-induced artifacts. Results The SNR had a range of 5–10 dB for slices close to the motor in the x and y orientations, and increased to 15–20 dB for slices far from the motor. Averaging the SNR for slices in all cases gave an SNR loss of about 10 dB. The maximum SNR was measured in the z orientation. In this case, the SNR loss was almost the same as that of other motor orientations, approximately 10 dB, but with a higher range, approximately 20–40 dB. Conclusions The selection of certain scanning parameters is necessary for reducing motor-generated artifacts. These parameters include slice selection and bandwidth. In developing any MRI-compatible assisted device actuated by a USM, this study recommends the use of an approximately 3-mm slice thickness with minimum bandwidth to achieve optimized SNR values when a USM is operating close to (within approximately 40 mm) the region being imaged. The SNR can be further enhanced by increasing the number of signal averages, but this is achieved only at the cost of increased scan duration.
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spelling doaj.art-000235787047457cb187eb895185ba2e2022-12-21T23:00:37ZengBMCBioMedical Engineering OnLine1475-925X2017-04-0116111210.1186/s12938-017-0331-1Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motorPeyman Shokrollahi0James M. Drake1Andrew A. Goldenberg2Institute of Biomaterials and Biomedical Engineering, University of TorontoInstitute of Biomaterials and Biomedical Engineering, University of TorontoInstitute of Biomaterials and Biomedical Engineering, University of TorontoAbstract Background Safe robot-assisted intervention using magnetic resonance imaging (MRI) guidance requires the precise control of assistive devices, and most currently available tools are rarely MRI-compatible. To obtain high precision, it is necessary to characterize and develop existing MRI-safe actuators for use in a high magnetic field (≥3 T). Although an ultrasonic motor (USM) is considered to be an MRI-safe actuator, and can be used in the vicinity of a high field scanner, its presence interferes with MR images. Although an MR image provides valuable information regarding the pathology of a patient’s body, noise, generally of a granular type, decreases the quality of the image and jeopardizes the true evaluation of any existing pathological issues. An eddy current induced in the conductor material of the motor structure can be a source of noise when the motor is close to the isocenter of the image. We aimed to assess the effects of a USM on the signal-to-noise ratio (SNR) of MR images in a 3-T scanner. The SNR was compared for four image sequences in transverse directions for three orientations of the motor (x, y, and z) when the motor was in the “off” state. The SNR was evaluated to assess three artifact reduction methods used to minimize the motor-induced artifacts. Results The SNR had a range of 5–10 dB for slices close to the motor in the x and y orientations, and increased to 15–20 dB for slices far from the motor. Averaging the SNR for slices in all cases gave an SNR loss of about 10 dB. The maximum SNR was measured in the z orientation. In this case, the SNR loss was almost the same as that of other motor orientations, approximately 10 dB, but with a higher range, approximately 20–40 dB. Conclusions The selection of certain scanning parameters is necessary for reducing motor-generated artifacts. These parameters include slice selection and bandwidth. In developing any MRI-compatible assisted device actuated by a USM, this study recommends the use of an approximately 3-mm slice thickness with minimum bandwidth to achieve optimized SNR values when a USM is operating close to (within approximately 40 mm) the region being imaged. The SNR can be further enhanced by increasing the number of signal averages, but this is achieved only at the cost of increased scan duration.http://link.springer.com/article/10.1186/s12938-017-0331-1Magnetic resonance imagingUltrasonic motorSignal-to-noise ratioDeflection torqueMRI-compatibility
spellingShingle Peyman Shokrollahi
James M. Drake
Andrew A. Goldenberg
Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor
BioMedical Engineering OnLine
Magnetic resonance imaging
Ultrasonic motor
Signal-to-noise ratio
Deflection torque
MRI-compatibility
title Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor
title_full Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor
title_fullStr Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor
title_full_unstemmed Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor
title_short Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor
title_sort signal to noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor
topic Magnetic resonance imaging
Ultrasonic motor
Signal-to-noise ratio
Deflection torque
MRI-compatibility
url http://link.springer.com/article/10.1186/s12938-017-0331-1
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AT andrewagoldenberg signaltonoiseratioevaluationofmagneticresonanceimagesinthepresenceofanultrasonicmotor