Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla

• Published in: Nature methods Vol. 20; no. 12; pp. 2048 - 2057
• Main Authors: Feinberg, David A., Beckett, Alexander J. S., Vu, An T., Stockmann, Jason, Huber, Laurentius, Ma, Samantha, Ahn, Sinyeob, Setsompop, Kawin, Cao, Xiaozhi, Park, Suhyung, Liu, Chunlei, Wald, Lawrence L., Polimeni, Jonathan R., Mareyam, Azma, Gruber, Bernhard, Stirnberg, Rüdiger, Liao, Congyu, Yacoub, Essa, Davids, Mathias, Bell, Paul, Rummert, Elmar, Koehler, Michael, Potthast, Andreas, Gonzalez-Insua, Ignacio, Stocker, Stefan, Gunamony, Shajan, Dietz, Peter
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.12.2023; Nature Publishing Group
• Subjects: 631/1647/245/1627; 631/1647/245/1628; 631/378; Angular resolution; Arrays; Bioinformatics; Biological Microscopy; Biological Techniques; Biomedical and Life Sciences; Biomedical Engineering/Biotechnology; Brain; Brain - diagnostic imaging; Brain - pathology; Cerebral cortex; Coils (windings); Cooling; Design; Diffusion layers; Hardware; Head; High resolution; Humans; Image resolution; Life Sciences; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medical imaging; Neuroimaging; Neurosciences; Noise reduction; Proteomics; Scanners; Signal to noise ratio; Spatial discrimination; Spatial resolution; Structure-function relationships

To increase granularity in human neuroimaging science, we designed and built a next-generation 7 Tesla magnetic resonance imaging scanner to reach ultra-high resolution by implementing several advances in hardware. To improve spatial encoding and increase the image signal-to-noise ratio, we develope...