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Simulation of Patient-Specific Deformable Ultrasound Imaging in Real Time

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Title: Simulation of Patient-Specific Deformable Ultrasound Imaging in Real Time
Authors: Camara, M
Pratt, P
Darzi, A
Mayer, E
Item Type: Journal Article
Abstract: Intraoperative ultrasound is an imaging modality frequently used to provide delineation of tissue boundaries. This paper proposes a simulation platform that enables rehearsal of patient-specific deformable ultrasound scanning in real-time, using preoperative CT as the data source. The simulation platform was implemented within the GPU-accelerated NVIDIA FleX position-based dynamics framework. The high-resolution particle model is used to deform both surface and volume meshes. The latter is used to compute the barycentric coordinates of each simulated ultrasound image pixel in the surrounding volume, which is then mapped back to the original undeformed CT volume. To validate the computation of simulated ultrasound images, a kidney phantom with an embedded tumour was CT-scanned in the rest position and at five different levels of probe-induced deformation. Measures of normalised cross-correlation and similarity between features were adopted to compare pairs of simulated and ground truth images. The accurate results demonstrate the potential of this approach for clinical translation.
Issue Date: 8-Sep-2017
Date of Acceptance: 13-Jul-2017
URI: http://hdl.handle.net/10044/1/51880
DOI: https://dx.doi.org/10.1007/978-3-319-67552-7_2
ISSN: 0302-9743
Publisher: Springer Verlag
Start Page: 11
End Page: 18
Journal / Book Title: Lecture Notes in Computer Science
Volume: 10549
Copyright Statement: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-67552-7_2
Sponsor/Funder: Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
Funder's Grant Number: RDB04 79560
Keywords: 08 Information And Computing Sciences
Artificial Intelligence & Image Processing
Publication Status: Published online
Appears in Collections:Department of Surgery and Cancer
Institute of Global Health Innovation