Name
Title | ||
|---|---|---|
Visualization of hepatic arteries with 3D ultrasound during intra-arterial therapies. |
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1117/12.2217450 | Proceedings of SPIE |
Keywords | Field | DocType |
hepatic arteries segmentation,intra-arterial procedures,3D visualization,ultrasound,MRI,multi-modality registration | Computer vision,Hepatocellular carcinoma,Blood flow,Liver cancer,Artificial intelligence,Embolization,Radiology,Magnetic resonance angiography,Cancer,3D ultrasound,Physics,Ultrasound | Conference |
Volume | ISSN | Citations |
9786 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maxime Gerard | 1 | 4 | 1.83 |
| an tang | 2 | 47 | 5.05 |
| Anais Badoual | 3 | 4 | 1.47 |
| François Michaud | 4 | 2 | 1.40 |
| Alexandre Bigot | 5 | 1 | 0.70 |
| Gilles Soulez | 6 | 157 | 18.24 |
| Samuel Kadoury | 7 | 252 | 37.48 |