SIGNAL-TO-NOISE MEASURES FOR MAGNETIC-RESONANCE IMAGERS

被引：64

作者：

MURPHY, BW ^{[1
]}

CARSON, PL ^{[1
]}

ELLIS, JH ^{[1
]}

ZHANG, YT ^{[1
]}

HYDE, RJ ^{[1
]}

CHENEVERT, TL ^{[1
]}

机构：

[1] UNIV MICHIGAN,MED CTR,1500 E MED CTR DR,ANN ARBOR,MI 48109

来源：

MAGNETIC RESONANCE IMAGING | 1993年 / 11卷 / 03期

关键词：

MRI; QUALITY ASSURANCE; SIGNAL-TO-NOISE; PHANTOM; IMAGE PROCESSING; AUTOMATION;

D O I：

10.1016/0730-725X(93)90076-P

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

The signal-to-noise ratio (SNR) in magnetic resonance imaging represents one of the system operating variables that must be determined both for evaluating the performance of different imaging protocols on a particular machine, and for monitoring machine performance as part of a routine quality control (QC) program. Utilizing a phantom and set of automated analysis programs currently under development, this study evaluated several ways of measuring image signal and noise and demonstrated the importance of utilizing measured voxel volumes as opposed to nominal volumes in the calculation of SNR. The NEMA proposed standard for SNR is compared with several other SNR measures and is recommended as the measure to be used in routine SNR reporting. The importance of utilizing other SNR measures in addition to the NEMA proposed standard for routine QC is discussed.

引用

页码：425 / 428

页数：4

共 5 条

[1]

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[2]

Sano, NEMA standards: Performance standards for clinical magnetic resonance systems, MRI Acceptance Testing and Quality Control — The Role of the Clinical Medical Physicist, pp. 185-189, (1988)

[3]

Covel, Hearshen, Carson, Chenevert, Shreve, Aisen, Bookstein, Murphy, Martel, Automated analysis of multiple performance characteristics in MRI systems, Med. Phys., 13, 6, pp. 815-823, (1986)

[4]

Carson, Ellis, Murphy, Zhang, Liu, Automated analysis of magnetic resonance systems, MRI Acceptance Testing and Quality Control — The Role of the Clinical Medical Physicist, pp. 151-173, (1988)

[5]

Henklemen, Measurement of signal intensities in the presence of noise in MR images, Med. Phys., 12, 2, pp. 232-233, (1985)

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