32 channel radiofrequency receiver head coils

Manufactured by Siemens

The 32-channel radiofrequency receiver head coils are designed to capture high-quality magnetic resonance imaging (MRI) data. They are a critical component of MRI systems, responsible for receiving and amplifying the radiofrequency signals generated by the imaged subject. These coils enable the acquisition of detailed, high-resolution images of the head and brain, which are essential for various medical applications and research purposes.

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32-channel head coil (1217 citations) 32-channel receiver head coil (16 citations) 32-channel receiver coil (2 citations)

2 protocols using 32 channel radiofrequency receiver head coils

Standardized MRI Data Collection Protocol

Cited 1 time

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Magnetic resonance imaging (MRI) scanners (3 T Siemens Skyra) were matched at several dedicated imaging sites with the same acquisition protocols and standard Siemens 32-channel radiofrequency receiver head coils. To protect the anonymity of the study participants, brain-imaging data were defaced and any sensitive metainformation was removed. Automated processing and quality control pipelines were deployed (Miller et al. 2016 (link); Alfaro-Almagro et al. 2018 (link)). To improve homogeneity of the imaging data, noise was removed by means of 190 sensitivity features. This approach allowed for the reliable identification and exclusion of problematic brain scans, such as due to excessive head motion.

Schurz M., Uddin L.Q., Kanske P., Lamm C., Sallet J., Bernhardt B.C., Mars R.B, & Bzdok D. (2021). Variability in Brain Structure and Function Reflects Lack of Peer Support. Cerebral Cortex (New York, NY), 31(10), 4612-4627.

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Homogeneous MRI Data Processing

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Magnetic resonance imaging (MRI) scanners (3T Siemens Skyra) were matched at several dedicated imaging sites with the same acquisition protocols and standard Siemens 32-channel radiofrequency receiver head coils. To protect the anonymity of the study participants, brain-imaging data were defaced and any sensitive meta-information was removed. Automated processing and quality control pipelines were deployed^{58 (link),68 (link)}. To improve homogeneity of the imaging data, noise was removed by means of 190 sensitivity features. This approach allowed for the reliable identification and exclusion of problematic brain scans, such as due to excessive head motion.

Spreng R.N., Dimas E., Mwilambwe-Tshilobo L., Dagher A., Koellinger P., Nave G., Ong A., Kernbach J.M., Wiecki T.V., Ge T., Li Y., Holmes A.J., Yeo B.T., Turner G.R., Dunbar R.I, & Bzdok D. (2020). The default network of the human brain is associated with perceived social isolation. Nature Communications, 11, 6393.

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