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Proceedings Paper

Fast hybrid freehand ultrasound volume reconstruction
Author(s): Athanasios Karamalis; Wolfgang Wein; Oliver Kutter; Nassir Navab
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Paper Abstract

The volumetric reconstruction of a freehand ultrasound sweep, also called compounding, introduces additional diagnostic value to the ultrasound acquisition by allowing 3D visualization and fast generation of arbitrary MPR(Multi-Planar-Reformatting) slices. Furthermore reconstructing a sweep adds to the general availability of the ultrasound data since volumes are more common to a variety of clinical applications/systems like PACS. Generally there are two reconstruction approaches, namely forward and backward with their respective advantages and disadvantages. In this paper we present a hybrid reconstruction method partially implemented on the GPU that combines the forward and backward approaches to efficiently reconstruct a continuous freehand ultrasound sweep, while ensuring at the same time a high reconstruction quality. The main goal of this work was to significantly decrease the waiting time from sweep acquisition to volume reconstruction in order to make an ultrasound examination more convenient for both the patient and the sonographer. Testing our algorithm demonstrated a significant performance gain by an average factor of 197 for simple interpolation and 84 for advanced interpolation schemes, reconstructing a 2563 volume in 0.35 seconds and 0.82 seconds respectively.

Paper Details

Date Published: 13 March 2009
PDF: 8 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726114 (13 March 2009); doi: 10.1117/12.813835
Show Author Affiliations
Athanasios Karamalis, Technische Univ. München (Germany)
Siemens Corporate Research (United States)
Wolfgang Wein, Siemens Corporate Research (United States)
Oliver Kutter, Technische Univ. München (Germany)
Nassir Navab, Technische Univ. München (Germany)

Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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