By Kathy Barker
A guide for residing and dealing within the laboratory. It discusses: how examine teams paintings on a human point - and the way to slot in; what apparatus is key, and the way to take advantage of it thoroughly; easy methods to start and get geared up; how you can organize an scan; easy methods to deal with and use info and reference assets; and the way to give your self and your effects - in print and in individual. It bargains suggestion, ethical help, social etiquette, insurance, besides step by step directions for these uncomplicated laboratory systems that skilled investigators understand - yet rookies don't.
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Additional info for At the Bench: A Laboratory Navigator
This combination can then be applied throughout the rest of k-space to reconstruct the rest of the missing lines. Variable Density AUTO-SMASH (Heidemann et al. 2001) is a simple extension of this basic idea, wherein more than one reference line is acquired for determination of the reconstruction parameters. In this way, multiple ﬁts can be used to determine the reconstruction parameters, resulting in a better ﬁt. As shown by Heidemann et al. (2001), this results in a higher quality reconstruction.
Parallel imaging was inevitable. 2 SNR in Parallel Imaging Before we can consider in detail parallel-imaging coils, we need to look more closely at the implications of parallel imaging for the quality of the reconstructed image. We know in the context of decreasing acquisition time, parallel imaging has already made signiﬁcant progress; however, empirically the community has found limits to acceleration with parallel imaging. ’s (2004) electrodynamics-based predictions of ﬁeld-dependent limits in parallel imaging indicate that there is a fundamental upper acceleration limit for a given accepted level of noise enhancement independent of the detailed design of receive coils; however, for almost all exams we are yet to reach this limit in all desired imaging planes; thus, coil design is The g-Factor and Coil Design still an important area of research in striving for this optimal performance.
J Magn Reson Imaging 20:443–450 The g-Factor and Coil Design The g-Factor and Coil Design David J. 4 Conclusion 47 References 48 To help give this chapter a more intuitive feel most of the discussion surrounding g-factor and coil design issues are couched in terms of the well-known Cartesian SENSE reconstruction algorithm (cf. Chap. 2). g. GRAPPA) where some noise enhancement may be traded for systematic error. The main features of image degradation remain in all methods and the coil requirements are unchanged.