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Proceedings Paper

Surface based cardiac and respiratory motion extraction for pulmonary structures from multi-phase CT
Author(s): Jens von Berg; Hans Barschdorf; Thomas Blaffert; Sven Kabus; Cristian Lorenz
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Paper Abstract

During medical imaging and therapeutic interventions, pulmonary structures are in general subject to cardiac and respiratory motion. This motion leads potentially to artefacts and blurring in the resulting image material and to uncertainties during interventions. This paper presents a new automatic approach for surface based motion tracking of pulmonary structures and reports on the results for cardiac and respiratory induced motion. The method applies an active shape approach to ad-hoc generated surface representations of the pulmonary structures for phase to phase surface tracking. Input of the method are multi-phase CT data, either cardiac or respiratory gated. The iso-surface representing the transition between air or lung parenchyma to soft tissue, is triangulated for a selected phase p0. An active shape procedure is initialised in the image of phase p1 using the generated surface in p0. The used internal energy term penalizes shape deformation as compared to p0. The process is iterated for all phases pi to pi+1 of the complete cycle. Since the mesh topology is the same for all phases, the vertices of the triangular mesh can be treated as pseudo-landmarks defining tissue trajectories. A dense motion field is interpolated. The motion field was especially designed to estimate the error margins for radiotherapy. In the case of respiratory motion extraction, a validation on ten biphasic thorax CT images (2.5mm slice distance) was performed with expert landmarks placed at vessel bifurcations. The mean error on landmark position was below 2.6mm. We further applied the method to ECG gated images and estimated the influence of the heart beat on lung tissue displacement.

Paper Details

Date Published: 29 March 2007
PDF: 11 pages
Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65110Y (29 March 2007); doi: 10.1117/12.709395
Show Author Affiliations
Jens von Berg, Philips Research Europe, Hamburg (Germany)
Hans Barschdorf, Philips Research Europe, Hamburg (Germany)
Thomas Blaffert, Philips Research Europe, Hamburg (Germany)
Sven Kabus, Philips Research Europe, Hamburg (Germany)
Cristian Lorenz, Philips Research Europe, Hamburg (Germany)


Published in SPIE Proceedings Vol. 6511:
Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
Armando Manduca; Xiaoping P. Hu, Editor(s)

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