Calgary Scientific Inc.

Arterys Inc.

Robert George Newton

Torin Arni Taerum

John Axerio-Cilies

Matthieu Le

Albert Hsiao

Darryl Bidulock

Jonathan Neil Draper

Daniel Irving Golden

Jesse Lieman-Sifry

Hok Kan Lau

Sean Patrick Sall

Shek Bun Law

Carla Leibowitz

Fabien Rafael David Beckers

Matthew Joseph Didonato

Angélique Sophie Calmon

Giovanni De Francesco

Fabien Beckers

Anitha Priya Krishnan

Tristan Jugdev

Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.

Content based image retrieval for lesion analysis

Systems and methods for determining a centerline of a tubular structure from volumetric data of vessels where a contrast agent was injected into the blood stream to enhance the imagery for centerlining. Given a 3D array of scalar values and a first and second point, the system and methods iteratively find a path from the start position to the end position that lies in the center of a tubular structure. A user interface may be provided to visually present and manipulate a centerline of the tubular structure and the tubular structure itself.

Image display of a centerline of tubular structure

Growing community of inventors

Calgary, Canada

Robert George Newton