Share Email Print

Proceedings Paper

Visualization of hepatic arteries with 3D ultrasound during intra-arterial therapies
Author(s): Maxime Gérard; An Tang; Anaïs Badoual; François Michaud; Alexandre Bigot; Gilles Soulez; Samuel Kadoury
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Liver cancer represents the second most common cause of cancer-related mortality worldwide. The prognosis is poor with an overall mortality of 95%. Moreover, most hepatic tumors are unresectable due to their advanced stage at discovery or poor underlying liver function. Tumor embolization by intra-arterial approaches is the current standard of care for advanced cases of hepatocellular carcinoma. These therapies rely on the fact that the blood supply of primary hepatic tumors is predominantly arterial. Feedback on blood flow velocities in the hepatic arteries is crucial to ensure maximal treatment efficacy on the targeted masses. Based on these velocities, the intra-arterial injection rate is modulated for optimal infusion of the chemotherapeutic drugs into the tumorous tissue. While Doppler ultrasound is a well-documented technique for the assessment of blood flow, 3D visualization of vascular anatomy with ultrasound remains challenging. In this paper we present an image-guidance pipeline that enables the localization of the hepatic arterial branches within a 3D ultrasound image of the liver. A diagnostic Magnetic resonance angiography (MRA) is first processed to automatically segment the hepatic arteries. A non-rigid registration method is then applied on the portal phase of the MRA volume with a 3D ultrasound to enable the visualization of the 3D mesh of the hepatic arteries in the Doppler images. To evaluate the performance of the proposed workflow, we present initial results from porcine models and patient images.

Paper Details

Date Published: 18 March 2016
PDF: 7 pages
Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 97862I (18 March 2016); doi: 10.1117/12.2217450
Show Author Affiliations
Maxime Gérard, Ecole Polytechnique de Montréal (Canada)
An Tang, Univ. de Montréal (Canada)
Ctr. Hospitalier de l'Univ. de Montréal (Canada)
Anaïs Badoual, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
François Michaud, Ctr. Hospitalier de l'Univ. de Montréal (Canada)
Alexandre Bigot, Ctr. Hospitalier de l'Univ. de Montréal (Canada)
Gilles Soulez, Univ. de Montréal (Canada)
Ctr. Hospitalier de l'Univ. de Montréal (Canada)
Samuel Kadoury, Ecole Polytechnique de Montréal (Canada)

Published in SPIE Proceedings Vol. 9786:
Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster III; Ziv R. Yaniv, Editor(s)

© SPIE. Terms of Use
Back to Top