Literature DB >> 6484181

Magnetic resonance imaging systems: optimization in clinical use.

J B Kneeland, R J Knowles, P T Cahill.   

Abstract

Magnetic resonance (MR) imaging confronts the user with a large number of options that can critically affect image quality. Among the most important parameters over which the user may exercise control are receiver frequency, tip angles, imaging and compensatory gradient strengths, the number of signals averaged, the number of phase encoding gradient steps, and the repetition times. All of these parameters were systematically varied and optimal values determined for a 0.5T Teslacon system, a task which employed both phantoms and normal volunteers. Under the normal conditions of tuning, the z-compensatory gradient presents the most critical adjustment. The compromise between image quality and time of study was also carefully examined, with the following determined as best: 192 gradient steps plus two signal averages for the head coil, or 192 gradient steps plus four signal averages for the body coil.

Mesh:

Year:  1984        PMID: 6484181     DOI: 10.1148/radiology.153.2.6484181

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  2 in total

1.  Combined head phantom and neural mass model validation of effective connectivity measures.

Authors:  Steven M Peterson; Daniel P Ferris
Journal:  J Neural Eng       Date:  2018-12-04       Impact factor: 5.379

Review 2.  Approaches in cooling of resistive coil-based low-field Magnetic Resonance Imaging (MRI) systems for application in low resource settings.

Authors:  Faith Natukunda; Theodora M Twongyirwe; Steven J Schiff; Johnes Obungoloch
Journal:  BMC Biomed Eng       Date:  2021-02-12
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.