Intra-Arterial Image Guidance With Optical Frequency Domain Reflectometry Shape Sensing

Intra-arterial liver cancer therapies, such as trans-arterial chemoembolization, are the preferred therapeutic approaches for advanced hepatocellular carcinoma. However, these palliative techniques are challenging for delivering therapeutic agents selectively in the tumor without real-time 3-D visua...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2019-02, Vol.38 (2), p.482-492
Main Authors: Parent, Francois, Gerard, Maxime, Monet, Frederic, Loranger, Sebastien, Soulez, Gilles, Kashyap, Raman, Kadoury, Samuel
Format: Article
Language:English
Subjects:
3D roadmapping
Angiography
Animal models
Animals
Arteries
Blood flow
Catheters
Chemical compounds
Curvature
curvature matching
Deformation
Fibers
Flow mapping
Frequency domain analysis
Hepatic artery
Hepatic Artery - diagnostic imaging
Hepatocellular carcinoma
Imaging, Three-Dimensional - methods
Interpolation
intra-arterial therapies
Invasiveness
Liver
Liver - blood supply
Liver - diagnostic imaging
Liver cancer
Liver Neoplasms - diagnostic imaging
Liver Neoplasms - therapy
Magnetic Resonance Angiography - methods
Medical instruments
Optical Fibers
Optical frequency
optical frequency domain reflectometry
Optical sensors
Phantoms, Imaging
Pharmacology
Reflectometry
Shape
Strain
Swine
Three-dimensional displays
Tracking devices
Tracking systems
Ultrasound
Ultraviolet radiation
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Summary:Intra-arterial liver cancer therapies, such as trans-arterial chemoembolization, are the preferred therapeutic approaches for advanced hepatocellular carcinoma. However, these palliative techniques are challenging for delivering therapeutic agents selectively in the tumor without real-time 3-D visualization of the catheter within the hepatic arteries. The objective of this paper is to develop and evaluate in pre-clinical tests an advanced interventional guidance platform using a distributed strain sensing device based on optical frequency-domain reflectometry (OFDR) to track the tip and shape of a catheter. The scattering properties of a fiber triplet are enhanced by focusing an ultraviolet beam on these fibers, producing a fully distributed strain sensor, which avoids interpolation errors observed with traditional shape tracking systems. A 3-D roadmap of the hepatic arteries is obtained from a combined fully convolutional and residual networks trained on MR angiography and combined with a 4-D flow dynamic sequence enabling to map blood flow velocities. An anisotropic curvature matching method is proposed to map the sensed data onto pre-operative MR and using 3-D ultrasound to correct for non-rigid deformations. Experiments were conducted in a controlled environment setting as well as in both synthetic phantoms and in five porcine models to assess the performance for device navigation, yielding satisfactory tracking accuracy with 3-D mean errors of 2.8 ± 0.9 mm. We present the first pilot study of MR-compatible UV-exposed OFDR optical fibers for non-ionizing device guidance in intra-arterial procedures, with the potential of avoiding multiple hospitalizations required to perform invasive selective chemoembolizations.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2018.2866494