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

Autor: Peyman Shokrollahi; James M. Drake; Andrew A. Goldenberg
Sprache: Englisch
Veröffentlicht: 2017
Quelle: Directory of Open Access Journals: DOAJ Articles
Online Zugang: http://link.springer.com/article/10.1186/s12938-017-0331-1
https://doaj.org/toc/1475-925X
doi:10.1186/s12938-017-0331-1
1475-925X
https://doaj.org/article/000235787047457cb187eb895185ba2e
https://doi.org/10.1186/s12938-017-0331-1
https://doaj.org/article/000235787047457cb187eb895185ba2e
Erfassungsnummer: ftdoajarticles:oai:doaj.org/article:000235787047457cb187eb895185ba2e

Zusammenfassung

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 ...