Three‐dimensional quadrature array coil elements for improved parallel magnetic resonance imaging performance at 1.5 Tesla

Mueller, Matthias; Lanz, Titus; Breuer, Felix; Griswold, Mark A.; Jakob, Peter M.

doi:10.1002/cmr.a.20208

Cited by 2 publications

(3 citation statements)

References 25 publications

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“…The copper strip coils reach a higher SNR because their conductor ohmic losses are lower, while reaching a maximum SNR with larger height because the 9.5 mm copper strip width decreases the distance between the phantom and current on the coil; the effective height (distance between inner conductor edges where much of the current actually flows) of the coil is also smaller. This behavior contrasts with that in Reference , where SNR increases exponentially with decreasing coil height because coil losses are neglected.…”

Section: Resultscontrasting

confidence: 94%

“…Upright coils are therefore a natural choice in high density arrays, even though they require some clearance and mechanical support above the surface. We have extended previous work by including the effects of noise from ohmic losses in the coil and tuning capacitors, leading to an optimal upright coil height that is approximately equal to one‐half the length (Fig. ).…”

Section: Discussionmentioning

confidence: 96%

“…To date, a full experimental implementation of composite arrays has not been reported, although the partial approach of Mueller et al at 1.5 T has shown promising SNR improvements for surface coils paired with a single orthogonal coil oriented parallel to the B 0 field. This additional coil improves sensitivity in the same region as the surface coil, similarly to the butterfly coil and so‐called vertical coil , but with a much shorter conductor length and stray capacitance to neighboring coils, making it potentially a better choice.…”

Section: Introductionmentioning

confidence: 99%

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Experimental verification of SNR and parallel imaging improvements using composite arrays

et al. 2014

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Composite MRI arrays consist of triplets where two orthogonal upright loops are placed over the same imaging area as a standard surface coil. The optimal height of the upright coils is approximately half the width for the 7 cm coils used in this work. Resistive and magnetic coupling is shown to be negligible within each coil triplet. Experimental evaluation of imaging performance was carried out on a Philips 3 T Achieva scanner using an eight-coil composite array consisting of three surface coils and five upright loops, as well as an array of eight surface coils for comparison. The composite array offers lower overall coupling than the traditional array. The sensitivities of upright coils are complementary to those of the surface coils and therefore provide SNR gains in regions where surface coil sensitivity is low, and additional spatial information for improved parallel imaging performance. Near the surface of the phantom the eight-channel surface coil array provides higher overall SNR than the composite array, but this advantage disappears beyond a depth of approximately one coil diameter, where it is typically more challenging to improve SNR. Furthermore, parallel imaging performance is better with the composite array compared with the surface coil array, especially at high accelerations and in locations deep in the phantom. Composite arrays offer an attractive means of improving imaging performance and channel density without reducing the size, and therefore the loading regime, of surface coil elements. Additional advantages of composite arrays include minimal SNR loss using root-sum-of-squares combination compared with optimal, and the ability to switch from high to low channel density by merely selecting only the surface elements, unlike surface coil arrays, which require additional hardware.

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Section: Resultscontrasting

confidence: 94%

Section: Discussionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Experimental verification of SNR and parallel imaging improvements using composite arrays

et al. 2014

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A 3D surface coil with deep learning‐based noise reduction for parotid gland imaging at 7T

Gokyar,

Zhao,

Gunamony

et al. 2024

iRADIOLOGY

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BackgroundBackground: Parotid gland neoplasms occur near the facial nerve. Hence, it is crucial to determine whether the malignant neoplasms involve the facial nerve and whether sacrifice of the nerve in surgery is necessary. Furthermore, while 20% of all neoplasms are malignant, the most common benign neoplasm, pleomorphic adenoma, has a risk for malignant transformation, making early detection and treatment essential. 7T magnetic resonance imaging offers increased signal‐to‐noise ratio (SNR) and sensitivity.AimIn this work, we address imaging the parotid gland since it remains challenging at 7T because of its spatial location.Materials and MethodsHere, we present a novel three‐dimensional surface coil (3D Coil) architecture that offers increased depth penetration and SNR compared to the single channel surface coil. We further developed a deep learning (DL)‐based noise reduction method that receives inputs from three elements of the 3D Coil.ResultsThe 3D coil with DL‐based denoising method offers twice the SNR compared to the single channel surface coil for parotid gland imaging at 7T.Discussion and ConclusionThe proposed 3D Coil and DL‐based noise reduction method offers a promising way of achieving higher SNR for parotid salivary gland imaging at 7T, paving the road for clinical applications.

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Three‐dimensional quadrature array coil elements for improved parallel magnetic resonance imaging performance at 1.5 Tesla

Cited by 2 publications

References 25 publications

Experimental verification of SNR and parallel imaging improvements using composite arrays

Experimental verification of SNR and parallel imaging improvements using composite arrays

A 3D surface coil with deep learning‐based noise reduction for parotid gland imaging at 7T

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