ABSTRACT
Medical images with high resolution are coded to be archived and communicated in PACS. In this paper, a new nonlinear predictor using neural network(GRNN) is proposed for the subband coding of Cardio-Angiography. The performance of a proposed nonlinear predictor is compared with BMA(Block Match Algorithm), the most conventional motion estimation technique. As a result, the nonlinear predictor using GRNN can predict well more 2-3dB than BMA. Specially, because of having a clustering process and smoothing noise signals, this predictor well preserves edges in frames after predicting the subband signal. This result is important with respest of human visual system.
Subject(s)
Humans , Clinical Coding , Noise , Statistics as TopicABSTRACT
The ability to map and ablate the sometimes fleeting automatic atrial tachycardia is greatly enhanced by computerized mapping systems. In this study, we have developed 128 channel computerized data analysis system using microcomputer for basic research of electrophysiology and electrical propagation. The bipolar electrogram information is acquired from 128 cardiac sites simultaneously at a sampling rate of 1 ksampls/sec with continuous and total data storage of up to 30 seconds. When the reference electrogram is selected and reference point is picked up, delay time from the reference point is displayed on three dimensional diagram of the heart. System design permits easy expansion to almost 256 simul- taneous sites. This system is expected to enable us to study pathophysiology of cardiac arrhythmia and to improve the result of diagnosis and surgical treatment for cardiac arrhythmia.
Subject(s)
Arrhythmias, Cardiac , Diagnosis , Electrocardiography , Electrophysiology , Heart , Information Storage and Retrieval , Microcomputers , Statistics as Topic , TachycardiaABSTRACT
Medical images wit high resolution are coded to be archived communicated in PACS. In this pater, we have studied on coding of Cardio-Angiography. Our coding technique is method is Subband-Vector Quantization. This technique is irreversible coding method. This technique's objects are removing blocking artifact and edge degradation, adapting for drastic image change because of dye injection, and fast decoding, We achieved good results for Cardio-Angiography data, but the study on more sophisticated motion estimation techniques and VQ techniques must be performed.