Using Gabor Transform and denoising as preprocess for improvement of mean scatterer spacing estimator
Date Issued
2004
Date
2004
Author(s)
KANG, CHAO FU
DOI
zh-TW
Abstract
Liver Cirrhosis is a very popular disease in Taiwan. Utilizing ultrasound to diagnose Cirrhosis is one of the most frequently used methods by the doctors, but patients have different physiology structure and doctors also have some different subjective judgments, therefore contrived mistake is increased in diagnosis probability.
This research is to apply Gabor Transform and denoising to classify two cases between Cirrhosis and normal liver. In this research, I firstly introduce a summary to Gabor transform, and secondly by means of Gabor Transform and denoising to calculate mean scatterer Spacing in a supersonic diagnostic set to get ultrasound signals. Finally, to point out that what has been improved by Gabor transform and denoising. This classified method is an assistance for doctors to diagnose Cirrhosis, so as to reduce man-made mistake in diagnosis probability.
Subjects
平均間距估測
最佳化間隔
誧B轉換
Gabor Transform
Mean Scatterer Sp
Optimal Sampling
Type
thesis
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