1 January 2011 Reconstruction of three-dimensional ultrasound images based on cyclic Savitzky-Golay filters
Pollakrit Toonkum, Nijasri C. Suwanwela, Chedsada Chinrungrueng
Author Affiliations +
Abstract
We present a new algorithm for reconstructing a three-dimensional (3-D) ultrasound image from a series of two-dimensional B-scan ultrasound slices acquired in the mechanical linear scanning framework. Unlike most existing 3-D ultrasound reconstruction algorithms, which have been developed and evaluated in the freehand scanning framework, the new algorithm has been designed to capitalize the regularity pattern of the mechanical linear scanning, where all the B-scan slices are precisely parallel and evenly spaced. The new reconstruction algorithm, referred to as the cyclic Savitzky-Golay (CSG) reconstruction filter, is an improvement on the original Savitzky-Golay filter in two respects: First, it is extended to accept a 3-D array of data as the filter input instead of a one-dimensional data sequence. Second, it incorporates the cyclic indicator function in its least-squares objective function so that the CSG algorithm can simultaneously perform both smoothing and interpolating tasks. The performance of the CSG reconstruction filter compared to that of most existing reconstruction algorithms in generating a 3-D synthetic test image and a clinical 3-D carotid artery bifurcation in the mechanical linear scanning framework are also reported.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Pollakrit Toonkum, Nijasri C. Suwanwela, and Chedsada Chinrungrueng "Reconstruction of three-dimensional ultrasound images based on cyclic Savitzky-Golay filters," Journal of Electronic Imaging 20(1), 013026 (1 January 2011). https://doi.org/10.1117/1.3569121
Published: 1 January 2011
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reconstruction algorithms

Ultrasonography

3D image processing

3D image reconstruction

Image filtering

Speckle

Linear filtering

Back to Top