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Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

C. Hennersperger, M. Baust, D. Mateus, N. Navab
Computational Sonography
MICCAI 2015, the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (bib)

3D ultrasound imaging provides high potential for various clinical applications, but often suffers from high operator-dependency and the directionality of the acquired data. State-of-the-art systems mostly perform compounding of the image data prior to further processing and visualization, providing scalar intensity information for a regular 3D volume. This work presents computational sonography as a novel concept to reconstruct tensor data instead of scalar values for each target position in 3D space, mapping a full and arbitrary 3D acquisition in the reconstructed data. The proposed solution incorporates the information of the whole acquisition with observed anatomy-specific directionalities, facilitating both targeted data processing and improved visualization. We show the performance of this paradigm on ultrasound phantom data as well as on clinically acquired data for acquisitions of the femoral, brachial and antebrachial bone.
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