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Freehand Ultrasound Reconstruction Based on ROI Prior Modeling and Normalized Convolution

Institution:
1Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
2Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
Med Image Comput Comput Assist Interv. MICCAI 2003
Publication Date:
Nov-2003
Volume Number:
6
Issue Number:
Pt 2
Pages:
382-90
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2003 Nov;6(Pt 2):382-90.
Keywords:
ROI Prior Modeling, Normalized Convolution
Appears in Collections:
LMI, CIGL, NAC, SPL
Sponsors:
P41 RR013218/RR/NCRR NIH HHS/United States
CIMIT
Generated Citation:
San Jose Estepar R., Martin-Fernandez M., Alberola-Lopez C., Ellsmere J., Kikinis R., Westin C-F. Freehand Ultrasound Reconstruction Based on ROI Prior Modeling and Normalized Convolution. Int Conf Med Image Comput Comput Assist Interv. 2003 Nov;6(Pt 2):382-90.
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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 [1] 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. A new applicability function based on the correlation function of a linear probe is used to avoid inter-resolution cell blurring.

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Estepar-MICCAI2003-fig5.jpg (279.626kB)