University of Michigan

Stewart C Wang

James R Baker, Jr

Tarek Hamouda

Anna U Bielinska

Paul E Makidon

John LiPuma

Jessica Ann Knowlton

Luz Blanco

Mark R Hemmila

Jeffery V Groom, Ii

Hannu Huhdanpaa

Ryan W Stidham

June Sullivan

Carla Kohoyda-Inglis

Grace L Su

Binu Enchakalody

Mahmoud Al-Hawary

Ashish Wasnik

Sven Alan Holcombe

A computer-automated method is presented for segmenting image data for an organ of a subject, where the organ is a tubular structure. The method includes: receiving image data representing a volume of the subject, such that the image data includes the organ; generating a centerline through the organ; determining location of an outer wall of the tube within the image data, where the location of the inner wall is determined using the centerline; determining location of an outer wall of the tube within the image data, where the location of the outer wall is determined using the inner wall; and computing a measure of the organ from the image data.

Automated assessment of bowel damage in intestinal diseases

The present invention relates to therapeutic nanoemulsion compositions and to methods of utilizing the same. In particular, nanoemulsion compositions are described herein that find use in the treatment and/or prevention of infection (e.g., respiratory infection (e.g., associated with cystic fibrosis)), in burn wound management, and in immunogenic compositions (e.g., comprising aantigen) that generate an effective immune response (e.g., against a bacterial species of the genus) in a subject administered the immunogenic composition. Compositions and methods of the present invention find use in, among other things, clinical (e.g. therapeutic and preventative medicine), industrial, and research applications.

Nanoemulsion therapeutic compositions and methods of using the same

A computer-implemented method is provided for anatomically indexing a subject. The method includes: receiving image scan data representing a volume of a subject, where the image scan data is comprised of a plurality of image slices of the subject and includes at least a portion of a vertebral column of the subject; identifying the vertebral canal of the vertebral column of the subject in the image scan data; determining a plurality of markers for the vertebral column, where each marker is indicative of a different vertebral body of the vertebral column and includes its location in the image scan data defined in a coordinate system, such that the plurality of markers define a vertebral level coordinate system; and storing each marker along with its location in a database. The markers can subsequently be used to reference other anatomical components of the subject across different image scans.

Analytic morphomics: high speed medical image automated analysis method

A noninvasive, quantitative imaging technique is presented for detecting and diagnosing liver disease, such as cirrhosis. The technique includes: capturing scan data from a subject using computed tomography or another type of imaging method and extracting image data representing the liver from the scan data. Various measures of the liver may be obtained from image data and then used to compute random variables of a statistical model, where the model is predictive of a medical condition of the liver and comprised of random variables that are indicative of at least one of a shape or texture of the liver. Output from the statistical model provides an indication of an undesirable condition of the liver.

System and methods for detecting liver disease

Growing community of inventors

Ann Arbor, MI, United States of America

Stewart C Wang