The Johns Hopkins University

Autodesk, Inc.

Patricio Simari

Russell H Taylor

Ryan Michael Schmidt

Todd R McNutt

Michael Kazhdan

Binbin Wu

Techniques are disclosed for generating a consensus mesh to cover a received set of points. In one embodiment, a meshing application generates multiple meshes that cover the received point set by varying parameters of an interpolating meshing technique, such as the ball-pivoting technique, tangent-space Delaunay triangulation, and the like. Different values for the one or more parameters are used to generate each of the meshes. After generating the multiple meshes, the meshing application may sort triangles in the meshes based on the frequency in which the triangles appear in the meshes. The meshing application may then iteratively add next-best triangles which are also compatible with the current consensus mesh to the consensus mesh, with the next-best triangle being a most frequently occurring triangle which has not yet been added to the consensus mesh. Compatibility may be defined using various criteria, such as producing a manifold and orientable triangulation.

Generating a consensus mesh from an input set of meshes

A system and method for determining at least one new treatment plan for at least one new patient, comprising: providing at least one representation of the at least one new patient's at least one organ at risk relative to at least one target; searching for at least one prior treatment plan for at least one prior patient with at least one similar representation; and reviewing the at least one prior treatment plan for the at least one prior patient in order to determine whether the at least one new treatment plan can be improved based on information in the at least one prior treatment plan.

Method and system for determining treatment plans

Growing community of inventors

Baltimore, MD, United States of America

Patricio Simari