SuBLIME: Automatic Brain Lesion Incidence and Detection Using Multimodality Longitudinal Magnetic Resonance Imaging

Case ID:

C11775

Subjects develop brain lesions over the natural course of a disease, Thus, there is a need to identify, estimate the size, and track the time course of new lesions as they are being formed and remain in the brain. Currently, this is done by a trained rteuroradiologist using sliceby- slice inspection, this process is very slow, can be prone to human error, and is hard to generalize to large observational studies. Our methods and algorithm provide an automatic solution by incorporating information from multiple imaging modalities., a difficult task even for trained radiologists.

Patent Information:

Title	App Type	Country	Serial No.	Patent No.	File Date	Issued Date	Expire Date	Patent Status
System and Method of Automatically Detecting Tissue Abnormalities	PCT: Patent Cooperation Treaty	United States	14/362,354	9,607,392	6/2/2014	3/28/2017	3/14/2033	Granted

Direct Link:

https://jhu.technologypublisher.com/technology/24249

Inventors:

Category(s):

Clinical and Disease Specializations, Clinical and Disease Specializations > Neurology, Technology Classifications > Computers, Electronics & Software, Technology Classifications > Medical Devices > Imaging, Technology Classifications > Medical Devices, Technology Classifications > Computers, Electronics & Software > Image Processing & Analysis, Clinical and Disease Specializations > Oncology > Brain Cancer,

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For Information, Contact:

Heather Curran

hpretty2@jhu.edu

410-614-0300

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