Freehand Ultrasound Reconstruction Based on ROI Prior Modeling and Normalized Convolution

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President and Fellows of Harvard College

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Overview: 3D freehand ultrasound imaging is becoming a widespread technique in medical examinations. This imaging technique produces a set of irregularly spaced B-scans. Reconstructing a regular grid from these B-scans is a challenging problem that enables the visualization and further analysis of the acquired data. This paper focuses on extending an existing method to define the output reconstruction grid based on principal component analysis (PCA). Our method introduces a model for the region of interest (ROI) in order to adapt the grid to the ROI. In addition, a technique based on normalized convolution is proposed for the interpolation problem.

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Format: PDF | Size: 780KB | Date: Aug 2003 | Pages: 8

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