MMSE Reconstruction for 3D Freehand Ultrasound Imaging | Zendy

Wei Huang | Zendy; Yibin Zheng | Zendy

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MMSE Reconstruction for 3D Freehand Ultrasound Imaging

Author(s) -

Wei Huang,

Yibin Zheng

Publication year - 2008

Publication title -

international journal of biomedical imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.626

H-Index - 41

eISSN - 1687-4196

pISSN - 1687-4188

DOI - 10.1155/2008/274164

Subject(s) - computer science , interpolation (computer graphics) , artificial intelligence , computer vision , speckle pattern , iterative reconstruction , ultrasound , speckle noise , 3d reconstruction , 3d ultrasound , process (computing) , image resolution , mean squared error , algorithm , image (mathematics) , mathematics , medicine , radiology , statistics , operating system

The reconstruction of 3D ultrasound (US) images from mechanically registered, but otherwise irregularly positioned, B-scan slices is of great interest in image guided therapy procedures. Conventional 3D ultrasound algorithms have low computational complexity, but the reconstructed volume suffers from severe speckle contamination. Furthermore, the current method cannot reconstruct uniform high-resolution data from several low-resolution B-scans. In this paper, the minimum mean-squared error (MMSE) method is applied to 3D ultrasound reconstruction. Data redundancies due to overlapping samples as well as correlation of the target and speckle are naturally accounted for in the MMSE reconstruction algorithm. Thus, the reconstruction process unifies the interpolation and spatial compounding. Simulation results for synthetic US images are presented to demonstrate the excellent reconstruction.

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