Abstract
Objectives:
Develop Narrow Band Image (NBI) to diagnose LPRD by using a perfect translation invariance complex discrete wavelet transform (PTI-CDWT).
Methods:
20 patients underwent NBI and Frequency scale for symptoms of GERD (FSSG). We performed image processing for pictures after NBI examination by using the application software of PTI-CDWT that was developed at Toyohashi University of Technology in Japan. We looked into a correlation between PTI-CDWT and NBI pictures.
Results:
Images detected by PTI-CDWT were distinguished from linear wavelet transform to round wavelet transform. Patients with high score in FSSG tended to show round wavelet transform. On the other hand, patients with low score represented linear wavelet transform. PTI-CDWT emphasized modulated nasopharyngeal epithelial cells with LPRD patients.
Conclusions:
LPRD is a common disease in the world. However, it does not have a definite diagnosis. Last year our group reported an applicability of NBI to diagnose LPRD. We showed one feature of nasopharyngeal mucosa pattern of NBI as mackerel cloud pattern. Wavelet transform are applied for signal and image processing of medical field. As image processing requiring a detail edge and directional components is important to estimate the images, one feature detection method of a discrete wavelet transform is to decompose the signal and image into each frequency component using low and high-pass filters. PTI-CDWT can detect more directions at various scales than previous wavelet transform. PTI-CDWT could be applied as a useful diagnostic tool for LPRD.
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