Abstract
In this paper we introduce a method of generating a synthetic 4D cardiac CT dataset using a single (static) CT and 4D ultrasound images. The method performs non-rigid registrations among ultrasound images to obtain deformation fields of patient specific heart motion and applies the deformation fields onto a static CT image to deform it into a series of dynamic CT images. It is the ultimate aim that this novel synthetic CT dataset could be used to generate high spatiotemporal resolution 4D cardiac models for the intra-operative guidance of minimally invasive cardiac intervention. Validations were performed by comparing synthetic CT images to real dynamic CT images.
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Li, F., White, J.A., Rajchl, M., Goela, A., Peters, T.M. (2013). Generation of Synthetic 4D Cardiac CT Images by Deformation from Cardiac Ultrasound. In: Linte, C.A., Chen, E.C.S., Berger, MO., Moore, J.T., Holmes, D.R. (eds) Augmented Environments for Computer-Assisted Interventions. AE-CAI 2012. Lecture Notes in Computer Science, vol 7815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38085-3_13
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DOI: https://doi.org/10.1007/978-3-642-38085-3_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38084-6
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