Multidimensional ultrasonic imaging for cardiology

<title>Incremental volume reconstruction and rendering for 3-D ultrasound imaging</title>

“…To reconstruct a 3D image from images of a lesser dimension, the location and orientation of the imaging primitives must be known. Coordinate values are explicitly tracked either acoustically 2,16,27 , mechanically 9,10,14,25,30,34,37 , or optically 26 . In other systems, a human or a machine makes scans at predetermined locations and/or orientations 4,11,15,17,23,28,39 .…”

Incremental Volume Rendering Algorithm for Interactive 3D Ultrasound Imaging

“…It is reconstructed by cubicspline interpolation, and volume rendered. [McCa88] performed the gated acquisition of a heart's image over a cardiac cycle. They used a video-tape to store 2DE images and the volume rendering to generate images.…”

A Fourier-Shannon approach to closed contours modelling

“…Most of the detection methods use specific a priori information about the characteristics of the target contours to solve the detection problem. The a priori information is also essential when the aim is to track motion within a sequence [11], particularly in order to obtain a threedimensional (3-D) reconstruction of objects using these contours [13][14][15][16][17][18][19][20][21].…”