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Neuroimaging / Brain / Biology / Head and neck / Human anatomy / Hyperintensity / Magnetic resonance imaging / Segmentation / WMH / Medicine / Image processing / Anatomy


Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke Ramesh Sridharan1, , Adrian V. Dalca1, , Kaitlin M. Fitzpatrick2 , Lisa Cloonan2 , Allison Kanakis2, Ona Wu2 , Karen L. Furi
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Document Date: 2013-08-26 14:39:39


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File Size: 2,79 MB

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Company

WMH / Springer International Publishing Switzerland / MBIA / /

Facility

Massachusetts General Hospital / Registration pipeline of Section / Rhode Island Hospital / /

IndustryTerm

affordable imaging technology / segmentation algorithms / image protocol / large scale imaging datasets / recent registration algorithms / large scale imaging study / large scale multimodal multi-site / different registration algorithms / software package / imaging / stroke imaging / medical imaging applications / depending on image protocol / /

MedicalCondition

less damaging transient ischemic attacks / chronic territorial infarcts / disease / cerebral ischemia / DWI stroke / stroke / neurological disease / small vessel stroke / acute stroke / disorder / mechanisms underlying stroke / manual stroke / /

Organization

Harvard Medical School / Rhode Island Hospital / Brown University / Computer Science and Artificial Intelligence Lab / Alpert Medical School / Massachusetts General Hospital / MIT Department of Neurology / /

Person

Ramesh Sridharan / Adrian V. Dalca / Adrian V / /

Position

mixture model for intensity values within the brain mask / representative / /

Product

SSD / /

ProvinceOrState

Rhode Island / Massachusetts / Michigan / /

Technology

resulting algorithm / segmentation algorithms / recent registration algorithms / affordable imaging technology / different registration algorithms / image protocol / MRI / medical imaging / /

URL

http /

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