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Vazquez F, Villareal A, Lazovic J, Martin R, Solis-Najera SE, Rodriguez AO. RF coil that minimizes electronic components while enhancing performance for rodent MRI at 7 Tesla. Biomed Phys Eng Express 2024; 10:055040. [PMID: 39173647 DOI: 10.1088/2057-1976/ad7265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 08/22/2024] [Indexed: 08/24/2024]
Abstract
This study introduces a novel volume coil design that features two slotted end-plates connected by six rungs, resembling the traditional birdcage coil. The end rings are equipped with six evenly distributed circular slots, inspired by Mansfield's cavity resonator theory, which suggests that circular slots can generate a baseline resonant frequency. One notable advantage of this proposed coil design is its reduced reliance on electronic components compared to other volume coils, making it more efficient. Additionally, the dimensions of the coil can be theoretically computed in advance, enhancing its practicality. To evaluate the performance and safety of the coil, electromagnetic field and specific absorption rate simulations were simulated using a cylindrical saline phantom and the finite element method. Furthermore, a transceiver coil prototype optimized for 7 Tesla and driven in quadrature was constructed, enabling whole-body imaging of rats. The resonant frequency of the coil prototype obtained through experimental measurements closely matched the theoretical frequency derived from Mansfield's theory. To validate the coil design, phantom images were acquired to demonstrate its viability and assess its performance. These images also served to validate the magnetic field simulations. The experimental results aligned well with the simulation findings, confirming the reliability of the proposed coil design. Importantly, the prototype coil showcased significant improvements over a similarly-sized birdcage coil, indicating its potential for enhanced performance. The noise figure was lower in the prototype versus the birdcage coil (NFbirdcage-NFslotcage= 0.7). Phantom image data were also used to compute the image SNR, giving SNRslotcage/SNRbirdcage= 34.36/24.34. By proving the feasibility of the coil design through successful rat whole-body imaging, the study provides evidence supporting its potential as a viable option for high-field MRI applications on rodents.
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Affiliation(s)
- F Vazquez
- Departamento de Fisica, Facultad de Ciencias, Universidad Nacional Autonoma de Mexico, CdMx 04510, Mexico
| | - A Villareal
- Departamento de Fisica, Facultad de Ciencias, Universidad Nacional Autonoma de Mexico, CdMx 04510, Mexico
| | - J Lazovic
- Department of Physical Intelligence, Max Planck Institute for Intelligence Systems, Stuttgart 70569, Germany
| | - R Martin
- Departamento de Fisica, Facultad de Ciencias, Universidad Nacional Autonoma de Mexico, CdMx 04510, Mexico
| | - S E Solis-Najera
- Departamento de Fisica, Facultad de Ciencias, Universidad Nacional Autonoma de Mexico, CdMx 04510, Mexico
| | - A O Rodriguez
- Department of Electrical Engineering, Universidad Autonoma Metropolitana Iztapalapa, CdMx 09340, Mexico
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Wang W, Sánchez-Heredia JD, Olin RB, Hansen ESS, Laustsen C, Zhurbenko V, Ardenkjaer-Larsen JH. A cryogenic 14-channel 13 C receiver array for 3T human head imaging. Magn Reson Med 2023; 89:1265-1277. [PMID: 36321576 PMCID: PMC10092528 DOI: 10.1002/mrm.29508] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 09/09/2022] [Accepted: 10/11/2022] [Indexed: 12/27/2022]
Abstract
PURPOSE This article presents a novel 14-channel receive-only array for 13 C human head imaging at 3 T that explores the SNR gain by operating at cryogenic temperature cooled by liquid nitrogen. METHODS Cryostats are developed to evaluate single-coil bench SNR performance and cool the 14-channel array with liquid nitrogen while having enough thermal insulation between the coils and the sample. The temperature distribution for the coil array is measured. Circuits are adapted to the -189°C environment and implemented in the 14-channel array. 13 C images are acquired with the array at cryogenic and room temperature in a 3T scanner. RESULTS Compared with room temperature, the array at cryogenic temperature provides 27%-168% SNR improvement over all voxels and 47% SNR improvement near the image center. The measurements show a decrease of the element noise correlation at cryogenic temperature. CONCLUSION It is demonstrated that higher SNR can be achieved by cryogenically cooling the 14-channel array. A cryogenic array suitable for clinical imaging can be further developed on the array proposed. The cryogenic coil array is most likely suited for scenarios in which high SNR deep in a head and decent SNR on the periphery are required.
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Affiliation(s)
- Wenjun Wang
- National Space Institute, Technical University of Denmark, Kongens Lyngby, Denmark
| | | | - Rie Beck Olin
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | | | - Christoffer Laustsen
- MR Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Vitaliy Zhurbenko
- National Space Institute, Technical University of Denmark, Kongens Lyngby, Denmark
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Hagiwara A, Bydder M, Oughourlian TC, Yao J, Salamon N, Jahan R, Villablanca JP, Enzmann DR, Ellingson BM. Sodium MR Neuroimaging. AJNR Am J Neuroradiol 2021; 42:1920-1926. [PMID: 34446457 PMCID: PMC8583254 DOI: 10.3174/ajnr.a7261] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 05/28/2021] [Indexed: 12/26/2022]
Abstract
Sodium MR imaging has the potential to complement routine proton MR imaging examinations with the goal of improving diagnosis, disease characterization, and clinical monitoring in neurologic diseases. In the past, the utility and exploration of sodium MR imaging as a valuable clinical tool have been limited due to the extremely low MR signal, but with recent improvements in imaging techniques and hardware, sodium MR imaging is on the verge of becoming clinically realistic for conditions that include brain tumors, ischemic stroke, and epilepsy. In this review, we briefly describe the fundamental physics of sodium MR imaging tailored to the neuroradiologist, focusing on the basics necessary to understand factors that play into making sodium MR imaging feasible for clinical settings and describing current controversies in the field. We will also discuss the current state of the field and the potential future clinical uses of sodium MR imaging in the diagnosis, phenotyping, and therapeutic monitoring in neurologic diseases.
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Affiliation(s)
- A Hagiwara
- From the UCLA Brain Tumor Imaging Laboratory (A.H., M.B., T.C.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers
- Department of Radiological Sciences (A.H., M.B., J.Y., N.S., R.J., J.P.V., D.R.E., B.M.E.)
| | - M Bydder
- From the UCLA Brain Tumor Imaging Laboratory (A.H., M.B., T.C.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers
- Department of Radiological Sciences (A.H., M.B., J.Y., N.S., R.J., J.P.V., D.R.E., B.M.E.)
| | - T C Oughourlian
- From the UCLA Brain Tumor Imaging Laboratory (A.H., M.B., T.C.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers
- Neuroscience Interdepartmental Program (T.C.O., B.M.E.)
| | - J Yao
- From the UCLA Brain Tumor Imaging Laboratory (A.H., M.B., T.C.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers
- Department of Bioengineering (J.Y., B.M.E.), Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, California
- Department of Radiological Sciences (A.H., M.B., J.Y., N.S., R.J., J.P.V., D.R.E., B.M.E.)
| | - N Salamon
- Department of Radiological Sciences (A.H., M.B., J.Y., N.S., R.J., J.P.V., D.R.E., B.M.E.)
| | - R Jahan
- Department of Radiological Sciences (A.H., M.B., J.Y., N.S., R.J., J.P.V., D.R.E., B.M.E.)
| | - J P Villablanca
- Department of Radiological Sciences (A.H., M.B., J.Y., N.S., R.J., J.P.V., D.R.E., B.M.E.)
| | - D R Enzmann
- Department of Radiological Sciences (A.H., M.B., J.Y., N.S., R.J., J.P.V., D.R.E., B.M.E.)
| | - B M Ellingson
- From the UCLA Brain Tumor Imaging Laboratory (A.H., M.B., T.C.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers
- Department of Bioengineering (J.Y., B.M.E.), Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, California
- Department of Radiological Sciences (A.H., M.B., J.Y., N.S., R.J., J.P.V., D.R.E., B.M.E.)
- Neuroscience Interdepartmental Program (T.C.O., B.M.E.)
- Department of Psychiatry and Biobehavioral Sciences (B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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