Back to Search
Start Over
Relative RF coil performance in carotid imaging
- Source :
- Magnetic resonance imaging. 23(5)
- Publication Year :
- 2004
-
Abstract
- Purpose 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.
- Subjects :
- Adult
Male
medicine.medical_specialty
Radio Waves
Monte Carlo method
Biomedical Engineering
Biophysics
Magnetic resonance angiography
Resonator
Position (vector)
medicine
Humans
Radiology, Nuclear Medicine and imaging
Computer Simulation
Physics
medicine.diagnostic_test
Loop (topology)
Carotid Arteries
Electromagnetic coil
cardiovascular system
Radiology
Monte Carlo Method
Algorithms
Magnetic Resonance Angiography
Radiofrequency coil
Radio wave
Biomedical engineering
Subjects
Details
- ISSN :
- 0730725X
- Volume :
- 23
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Magnetic resonance imaging
- Accession number :
- edsair.doi.dedup.....3d1ce7529815354c37c79e7f25a5a41d