Johns Hopkins University

Andreia V Faria

Michael I Miller

Susumu Mori

Kenichi Oishi

An embodiment of the current invention includes a non-invasive imaging system, comprising: an imaging scanner suitable to generate an image representing a tissue region of a subject under observation, the tissue region having at least one substructure and the image comprising a plurality of image voxels; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit is configured to store: an atlas comprising spatial information of the at least one substructure in the tissue region, and a database comprising a plurality of pre-stored medical images representing the tissue region, and wherein the signal processing system is adapted to: identify, based on the atlas and for each of the at least one substructure, a corresponding portion of image voxels in the image; provide a computed quantification of the corresponding portion of image voxels for each of the at least one substructure of the tissue region by performing spatial filtering on the image; and search the database to provide at least one selected medical image from the plurality of pre-stored medical images, the at least one selected medical image having a corresponding quantification that is substantially similar to the computed quantification.

Image search engine

A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one anatomical substructure and more than one constituent tissue type; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit is configured to store a parcellation atlas comprising spatial information of the at least one substructure in the tissue region, wherein the signal processing system is adapted to: reconstruct an image of the tissue region based on the imaging signal; parcellate, based on the parcellation atlas, the at least one anatomical substructure in the image; segment the more than one constituent tissue types in the image; and automatically identify, in the image, a portion of the at least one anatomical substructure that correspond to one of the more than one constituent tissue type.

Growing community of inventors

Baltimore, MD, United States of America

Andreia V Faria