{"id":2656,"date":"2018-12-18T17:40:30","date_gmt":"2018-12-19T01:40:30","guid":{"rendered":"https:\/\/keck.usc.edu\/news\/ultra-high-field-brain-scanner-receives-fda-approval-for-clinical-use\/"},"modified":"2023-11-26T08:27:00","modified_gmt":"2023-11-26T16:27:00","slug":"ultra-high-field-brain-scanner-receives-fda-approval-for-clinical-use","status":"publish","type":"post","link":"https:\/\/keck.usc.edu\/news\/ultra-high-field-brain-scanner-receives-fda-approval-for-clinical-use\/","title":{"rendered":"Ultra-high-field brain scanner receives FDA approval for clinical use"},"content":{"rendered":"\n \n \n\n\n\n\n\n\n\n
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\n\n \n Press Release<\/span>\n\n\n\n<\/div>\n \n \n
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Ultra-high-field brain scanner receives FDA approval for clinical use<\/h1>\n\n\n<\/div>\n \n \n
\n \n December 18, 2018<\/span>\n <\/div>\n \n \n
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On October 24, the ultra-high-field 7T Terra magnetic resonance imaging (MRI) scanner at the\u00a0USC Mark and Mary Stevens Neuroimaging and Informatics Institute<\/a>\u00a0(INI) of the\u00a0Keck School of Medicine of USC\u00a0received FDA approval for clinical use, opening up new avenues of care for patients with Alzheimer\u2019s disease, multiple sclerosis and other diseases that affect the brain.<\/p>\n

The scanner, the first of its kind in North America, was installed in February 2017 and has already fueled exploratory research into brain activity and structure in both health and disease, unlocking a universe of detail never before seen. With the new hardware and software updates, the machine\u2019s advanced imaging technology can now be used to help diagnose, treat and monitor patients with neurological diseases.<\/p>\n

\u201cThis device, which has already made its mark as a powerful tool to advance research in the neurosciences, is now accessible to clinical populations in addition to researchers,\u201d said\u00a0Arthur W. Toga, PhD<\/a>, Provost Professor of Ophthalmology, Neurology, Psychiatry and the Behavioral Sciences, Radiology and Engineering and the Ghada Irani Chair in Neuroscience at the Keck School and director of the USC Stevens INI. \u201cClinicians across the university and beyond can now leverage all the benefits of increased spatial resolution to serve patients in need.\u201d<\/p>\n

\n

With a magnetic field strength of 7 Tesla, more than four times that of MRI scanners used in most hospitals, the Keck School\u2019s 7T Terra has a strong signal-to-noise ratio, allowing researchers and clinicians to collect images of the living human brain with higher spatial resolution and better contrast than was previously possible.<\/p>\n

In a typical 1.5 Tesla scanner, each cubic unit of the image \u2014 each \u201cvoxel\u201d \u2014 contains about 100,000 brain cells. At 7 Tesla, a voxel depicts just a few thousand cells, allowing scientists to study the brain with more precision and detail.<\/p>\n

\u201cIt\u2019s really a dramatic improvement,\u201d said\u00a0Danny JJ Wang, PhD<\/a>, director of imaging technology innovation at the INI and professor of neurology and radiology at the Keck School. \u201cIdeally, we want to look at the smallest group of neurons possible so we can start to pinpoint what\u2019s happening at the cellular level.\u201d<\/p>\n

The 7T Terra is ideal for high-resolution structural and functional neuroimaging, exploration of neurodegenerative diseases such as Alzheimer\u2019s and Parkinson\u2019s, and diagnosis and treatment of other diseases that affect the brain, including multiple sclerosis, stroke and vascular dementia.<\/p>\n

In 2017, Toga and\u00a0Gabriel Zada, MD<\/a>, of the Keck School, used the 7T Terra to perform the first ultra-high-resolution scan of a Cushing\u2019s disease patient in the United States.<\/p>\n

They were able to localize an extremely small pituitary tumor not visible on 1.5T or 3T MRI scanners, suggesting that the new technology could replace the standard invasive diagnostic methods for Cushing\u2019s disease. Their\u00a0findings<\/a>\u00a0were published in March 2018 in the Journal of Neurosurgery.<\/p>\n

\u201cThe 7T may save patients an invasive procedure. It also makes it easier for neurosurgeons to selectively remove a tumor without damaging surrounding areas,\u201d said Zada, associate professor of neurological surgery (clinical scholar) at the Keck School.<\/p>\n

Reconfiguring the 7T Terra for clinical use involved minor hardware and software updates to comply with FDA standards. For more information about the scanner, visit\u00a0cia.ini.usc.edu<\/a>.<\/p>\n

\u2014 Zara Greenbaum<\/strong><\/p>\n<\/div>\n\n\n\n<\/div>\n <\/div>\n\n\n <\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":168,"featured_media":2657,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[6],"tags":[427],"class_list":["post-2656","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-release","tag-usc-mark-and-mary-stevens-neuroimaging-and-informatics-institute"],"acf":[],"yoast_head":"\nUltra-high-field brain scanner receives FDA approval for clinical use<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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