Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Radiofrequency coils for low-field (0.18-0.55 T) Magnetic Resonance scanners: experience from a research lab-manufacturer companies cooperation

Articolo
Data di Pubblicazione:
2022
Abstract:
Low-field magnetic resonance imaging (MRI) has become increasingly popular due to cost reduction, artifact minimization, use for interventional radiology, and a better safety profile. The different applications of low-field systems are particularly wide (muscle-skeletal, cardiac, neuro, small animals, food science, as a hybrid scanner for hyperthermia, in interventional radiology and in radiotherapy). The low-field scanners produce lower signal-to-noise ratio (SNR) images with respect to medium- and high-field scanners. Thus, particular attention must be paid in the minimization of the radiofrequency (RF) coil losses compared to the sample noise. Following a short description of the coil design and simulation methods (magnetostatic and full-wave), in this paper we will describe how the choice of electrical parameters (such as conductor geometry and capacitor quality) affects the coil's overall performance in terms of the quality factor Q, ratio between unloaded and loaded Q, and coil sensitivity. Subsequently, we will summarize the work carried out at our electromagnetic laboratory in collaboration with MR-manufacturing companies in the field of RF coil design, building, and testing for 0.18-0.55 T magnetic resonance (MR) clinical scanners by classifying them between surface-, volume-, and phased-array coils.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
magnetic resonance imaging; low-field MRI; RF coils
Elenco autori:
Giovannetti, Giulio
Autori di Ateneo:
GIOVANNETTI GIULIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/458013
Pubblicato in:
ELECTRONICS
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)