University of California

Esha Datta

Homayoon Kazerooni

Stephen L Hauser

Sara Haislip

Roland Henry

Jonathan Ames

Alyssa Zhu

Sara Marie Haislip

Methods and systems are provided for the automated detection and analysis of structural tissue alterations related to myelin and axons/neurons in one or more biological structures of a patient's nervous system obtained from data from a medical imaging system, or the initial sensing or data collection processes such as, those that could be used to generate an image. In some embodiments, the method comprises, at a system having a memory and one or more processor for processing and displaying images of the biological structure, computationally processing at least a T1 weighted magnetic resonance image of the structure and a T2 weighted magnetic resonance image of the structure in order to analyze at least a portion of the structure of the nervous system using a plurality of stored tissue classifier elements to determine if the portion of the structure correlates with the presence of myelin. Such methods are useful for the detection of diseases associated with demyelination.

Quantitating disease progression from the MRI images of multiple sclerosis patients

A walking assist device, which is to be worn on a person's leg, includes a shank link, a thigh member, and a knee mechanism. The thigh member is in contact with the person's thigh when the device is worn on the person's leg. The knee mechanism rotatably connects the shank link to the thigh member. When the shank link is in contact with the ground, the knee mechanism is configured to resist the rotation of the shank link relative to the thigh member to prevent the person's foot from contacting the ground and reduces ground reaction forces entering the person's foot.

External walking assist device for those with lower leg injuries

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San Francisco, CA, United States of America

Esha Datta