Journal article
A dynamic model‐based approach to motion and deformation tracking of prosthetic valves from biplane x‐ray images
Medical physics (Lancaster), Vol.45(6), pp.2583-2594
06/2018
DOI: 10.1002/mp.12913
PMCID: PMC6205814
PMID: 29659023
Abstract
Purpose
Transcatheter aortic valve replacement (TAVR) is a minimally invasive procedure in which a prosthetic heart valve is placed and expanded within a defective aortic valve. The device placement is commonly performed using two‐dimensional (2D) fluoroscopic imaging. Within this work, we propose a novel technique to track the motion and deformation of the prosthetic valve in three dimensions based on biplane fluoroscopic image sequences.
Methods
The tracking approach uses a parameterized point cloud model of the valve stent which can undergo rigid three‐dimensional (3D) transformation and different modes of expansion. Rigid elements of the model are individually rotated and translated in three dimensions to approximate the motions of the stent. Tracking is performed using an iterative 2D–3D registration procedure which estimates the model parameters by minimizing the mean‐squared image values at the positions of the forward‐projected model points. Additionally, an initialization technique is proposed, which locates clusters of salient features to determine the initial position and orientation of the model.
Results
The proposed algorithms were evaluated based on simulations using a digital 4D CT phantom as well as experimentally acquired images of a prosthetic valve inside a chest phantom with anatomical background features. The target registration error was 0.12 ± 0.04 mm in the simulations and 0.64 ± 0.09 mm in the experimental data.
Conclusions
The proposed algorithm could be used to generate 3D visualization of the prosthetic valve from two projections. In combination with soft‐tissue sensitive‐imaging techniques like transesophageal echocardiography, this technique could enable 3D image guidance during TAVR procedures.
Details
- Title: Subtitle
- A dynamic model‐based approach to motion and deformation tracking of prosthetic valves from biplane x‐ray images
- Creators
- Martin G. Wagner - University of Wisconsin–MadisonCharles R. Hatt - University of Wisconsin–MadisonDavid A. P. Dunkerley - University of Wisconsin‐MadisonLindsay E. Bodart - University of Wisconsin–MadisonAmish N. Raval - University of Wisconsin–MadisonMichael A. Speidel - University of Wisconsin–Madison
- Resource Type
- Journal article
- Publication Details
- Medical physics (Lancaster), Vol.45(6), pp.2583-2594
- DOI
- 10.1002/mp.12913
- PMID
- 29659023
- PMCID
- PMC6205814
- ISSN
- 0094-2405
- eISSN
- 2473-4209
- Number of pages
- 12
- Grant note
- Siemens Healthineers
- Language
- English
- Date published
- 06/2018
- Academic Unit
- Radiation Oncology
- Record Identifier
- 9984312981802771
Metrics
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