Freehand Ultrasound Reconstruction Based on ROI Prior Modeling and Normalized Convolution

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.

• Type: Conference
• Year: 2003
• Where: MICCAI
• Authors: Raúl San José Estépar, Marcos Martín-Fernández, Carlos Alberola-López, James Ellsmere, Ron Kikinis, Carl-Fredrik Westin
• Keywords: Freehand Ultrasound Imaging, Medical Imaging, MICCAI 2003, Regular Grid, Widespread Technique