In this letter, we deal with the microcomputer-based ultrasonic pulsed Doppler flowmeter system developed to detect the blood flow in human heart noinvasively. This system provides a new and necessary tool for accurate quantitative measurements in study of cardiovascular disease.

In this article, we present a new image-stabilization technology for still images based on blind deconvolution and introduce it to a consumer digital still camera. This technology consists of three features: (1)double-exposure-based PSF detection, (2)efficient image deblurring filter, and (3)edge-based ringing reduction. Without deteriorating the deblurring performance, the new technology allows us to reduce processing time and ringing artifacts, both of which are common problems in image deconvolution.

In this letter, we deal with the minicomputer system developed for imaging the degree of the decrease in a peak frequency of the first heart sound measured at 25 points on the chest surface and the similarity of one. This system provides a useful and powerful means to understand the diagnostic information rapidly.

A major problem in Doppler ultrasound has been the lack of quantitation of the magnitude of the blood velocity vector, particularly in intracardiac flow where the flow direction can't be estimated. This paper derives a new flow-mapping system for visualizing the two-dimensional blood velocity vector. The resultant velocity vector is the projection of the three-dimensional velocity vector on the beam scanning plane.