Posts Tagged Atlas
[WEB SITE] ATLAS Stroke Brain Scans Database Now Available to Aid in MRI Processing and Rehab – NEWS
A research team from the University of Southern California have compiled, archived, and shared what is reportedly one of the largest open-source data sets of brain scans from stroke patients.
Scientists around the world are already using the scans to develop and test algorithms that can automatically process MRI images from stroke patients. In the long run, the scientists hope to identify biological markers that forecast which patients will respond to various rehabilitation therapies and personalize treatment plans accordingly, notes a media release from the University of Southern California.
The research team describes their compilation of the data set, known as Anatomical Tracings of Lesion After Stroke (ATLAS), in a study published in Scientific Data, a Nature journal.
“One of our goals is to meta-analyze thousands of stroke MRIs from around the world to understand how the lesions impact recovery,” says Sook-Lei Liew, lead author of the study and assistant professor with joint appointments at the Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) within the Keck School of Medicine of USC, the Chan Division of Occupational Science and Occupational Therapy, the Division of Biokinesiology and Physical Therapy and the USC Viterbi School of Engineering.
“We can’t do it by hand at the scale of thousands, so we are really interested in helping find better automated ways, using machine learning and computer vision, to identify the lesions and have machines draw those boundaries.”
“Dr. Liew’s team is making great strides toward improving patient outcomes following stroke,” states Provost Professor Arthur Toga, the INI director. “Several other faculty from the institute and across the university have applied their expertise in machine learning, data visualization, informatics and neuroradiology to deliver a valuable set of open-source MR images.”
As predictive algorithms improve, a long-term goal is for clinicians to use MRI to inform decisions about stroke patients’ treatment and recovery, the release continues.
“Ultimately, we would run their data through an automated pipeline that would give us some measures of their likelihood of recovery, or more importantly, their likelihood of responding to different types of therapies,” Liew adds. “We could then personalize their rehabilitation therapy based on their MRI results and, hopefully, improve their recovery.”
Stroke researchers who wish to access the data can download a normalized subset (n=229) from INDI or the full dataset (n=304) from the Inter-University Consortium for Political and Social Research (ICPSR), housed at the University of Michigan.
[Source(s): University of Southern California, Science Daily]
Central Nervous System – Visual Perspectives illustrates the spatial dimension of the human brain and stimulates interaction with the object being studied, something which is not a standard feature of illustrations and atlases. The information from the interactive animation will ease retention and incorporation of knowledge structures as a resource for mental model construction of the human brain and spinal cord. We hope that the use of Central Nervous System: Visual Perspectives will enhance motivation of the students, increase their comprehension of the content, and facilitate learning such a complex structure as the human CNS.
”It is a demanding task to study the anatomy of the human brain. The complexity can be simplified by approaching the study of the brain from the dual perspectives of its spatial and functional anatomy. CNS-Visualperspectives examines the relations between different brain structures and defines major divisions. Functional anatomy describes the role of the structures and points out structures that work together to accomplish particular tasks…”
MD; PhD, Dept. of Neuroscience
Traumatic Brain Injury Rehabilitation Educational Resources > FINR Educational Materials > FINR Brain Atlas – 3D Brain Model
3D Brain Model – Explore our interactive 3-dimensional brain atlas to discover where structures are located within the brain, their purpose, and explore brain injury models. All structures and models are accompanied by easy-to-understand detailed explanations.
It is our hope that this model assists to further the understanding of brain injury by those affected.
Find the FINR 3D Brain model application for the iPhone, iPod Touch, and the iPad in the iTunes App Store.