University of Washington

Todd L Richards

Aaron Gershon Filler

Franklyn A Howe

Janet F Eary

Jay S Tsurda

Described herein are methods and systems for determining tumor boundary characteristics. One example method involves (a) receiving imaging data, wherein the imaging data indicates a tumor and one or more tissues that surround the tumor; (b) determining one or more radial segments that extend from the tumor to the one or more surrounding tissues based on the imaging data, wherein the one or more radial segments each comprise one or more respective data points indicating signal intensity; (c) determining one or more respective tumor boundary parameters for each of the one or more radial segments based on at least the one or more respective data points indicating signal intensity; (d) determining a tumor margin based on the one or more determined tumor boundary parameters; and (e) causing a graphical representation of the determined tumor margin to be displayed on a graphical display.

Methods and systems for determining tumor boundary characteristics

A neurography system (10) is disclosed for generating diagnostically useful images of neural tissue (i.e., neurograms) employing a modified magnetic resonance imaging system (14). In one embodiment, the neurography system selectively images neural tissue by employing one or more gradients to discriminate diffusion anisotropy in the tissue and further enhances the image by suppressing the contribution of fat to the image. The neurography system is part of a broader medical system (12), which may include an auxiliary data collection system (22), diagnostic system (24), therapeutic system (26), surgical system (28), and training system (30). These various systems are all constructed to take advantage of the information provided by the neurography system regarding neural networks, which information was heretofore unavailable.

Growing community of inventors

Kenmore, WA, United States of America

Todd L Richards