International Business Machines Corporation

Synaptive Medical (barbados) Inc.

Mohammad Siddiqui

Mudhakar Srivatsa

Raghu Kiran Ganti

Fergal Kerins

Shreeranjani Srirangamsridharan

Bradley Allan Fernald

Mahmood Saajan Ashek

Somesh Jha

Mojdeh Sayari Nejad

Yusuf Mai

Asif Sharif

Ramey Ghabros

A method and system for extracting information from a drawing. The method includes classifying nodes in the drawing, extracting attributes from the nodes, determining whether there are errors in the node attributes, and removing the nodes from the drawing. The method also includes identifying edges in the drawing, extracting attributes from the edges, and determining whether there are errors in the edge attributes. The system includes at least one processing component, at least one memory component, an identification component, an extraction component, and a correction component. The identification component is configured to classify nodes in the drawing, remove the nodes from the drawing, and identify edges in the drawing. The extraction component is configured to extract attributes from the nodes and edges. The correction component is configured to determine whether there are errors in the extracted attributes.

Extracting and analyzing information from engineering drawings

A anatomical phantom is disclosed containing a pathological abnormality having fluorescing properties to simulate fluorescence training and/or the simulation of medical procedures, such as fluorescence-based methods for intraoperative visualization and image-guidance. The phantom is made of materials that mimic anatomical biomechanical properties and wherein the pathological abnormality contains fluorescing properties to fluoresce in responsive to UV light excitation. The phantom may be a standalone model or may be used in a complementary simulation kit to provide a more comprehensive training approach.

Flourescence training simulator

Growing community of inventors

Toronto, Canada

Mohammad Siddiqui