Relative RF coil performance in carotid imaging.
OBJECTIVE
Computer simulations and measurements on human volunteers were used to test the extent to which the quality of carotid imaging might be improved by coil arrays that are not limited by a constraint on the number of RF coil receiver ports.


METHODS
Analytic near-field equations for the magnetic and electric fields of a rectangular loop resonator were used to estimate the relative signal-to-noise ratio (rSNR) along the length of a simulated carotid artery as a function of loop size, loop position and vessel depth. The sizes, positions and number of elements in a linear coil array that resulted in the maximum composite SNR along the length of a simulated carotid artery were then estimated. The linear array results were used to predict the total number of elements needed for optimal imaging of the carotid arteries. Also, three normal volunteers were imaged with a variety of RF coils, and the rSNR measurements along the lengths of the carotid artery were evaluated for each coil combination.


RESULTS
The analytic simulation and the human volunteer measurements both show that improved SNR (e.g., >300% at the bifurcation) can be obtained with coils tailored to each specific region of the carotid artery in comparison to that obtained with four-element arrays designed and used to image the entire carotid artery.


CONCLUSIONS
The resulting number of coil ports, 16 to 24, required for full coverage of the carotid arteries is consistent with the number of channels just becoming available on recently developed clinical scanners.
Hadley
J Rock
JR
Department of Radiology, Utah Center for Advanced Imaging Research, UCAIR, University of Utah, Salt Lake City, 84108, USA. rock@ucair.med.utah.edu
Roberts
John A
JA
Goodrich
K Craig
KC
Buswell
Henry R
HR
Parker
Dennis L
DL
D000328:Adult; D000465:Algorithms; D002339:Carotid Arteries / Q000033:anatomy & histology*; D003198:Computer Simulation; D006801:Humans; D018810:Magnetic Resonance Angiography / Q000295:instrumentation*; D008297:Male; D009010:Monte Carlo Method; D011846:Radio Waves