RESUMEN
Objective:To investigate the Value of Wavelet Analysis to Ultrasonic Diagnosis for liver neoplasms. Methods: The tissue images of Liver Neoplasms by ultrasonic examination experienced color conversion with Photoshop software, and the corresponding relationship among wavelet coefficient, spacial distribution and local image characteristic after conversion were analyzed, i.e.the row details were arrayed in line sequence,the line details in row sequence and the diagonal details in Zsequence. Results: The frequency spectral data and the image texture information were provided via imaging detection and wavelet analysis of, as well as the quantitative data description of the texture of the foci or the normal tissue. Conclusion:Wavelet analysis provided with a reliable basis for the early clinical diagnosis and treatment for liver neoplasms, by which the focal character and degree can be differentiated or analyzed.
RESUMEN
Objecive To observe the characteristic appearance of veins spatial distribution of lump's tissue by using Photoshop so as to improve the ability of ultrasonic diagnosis.Methods The images of lump's tissue gotten from ultrasonic were converted by using Photoshop.Then the corresponding relations between small wave coefficient and local characteristics were analyzed.Result Image determination and wavelet analysis for lump tissue not only provided frequency spectrum and veins analysis for images,but also acquired quantitative data received from focus and normal tissue.Conclusion Wavelet analysis provides reliable basis for distinguishing and analyzing characteristics of focus in clinical lump diagnosis.