|Table of Contents|

Formation of directional pseudo-textures in ultrasound images(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2019年第12期
Page:
1416-1420
Research Field:
医学影像物理
Publishing date:

Info

Title:
Formation of directional pseudo-textures in ultrasound images
Author(s):
LIN Liping ZHANG Dong
School of Physics and Technology, Wuhan University, Wuhan 430072, China
Keywords:
Keywords: ultrasound imaging directional pseudo-texture feature extraction denoising
PACS:
R318;TP391
DOI:
DOI:10.3969/j.issn.1005-202X.2019.12.010
Abstract:
Abstract: Ultrasonic imaging is a kind of coherent imaging, which uses the ultrasonic signal reflected by the ultrasonic wave in the human body when it encounters the human tissue for imaging. The textures in ultrasonic images can be used to reflect the structures and characteristics of the tissues. Therefore, ultrasonic imaging is widely used in the diagnosis of clinical diseases. However, due to the effects of imaging systems, ultrasonic images contain pseudo-textures that are perpendicular to the ultrasonic beams and have different directions as the position changes. The image with directional pseudo-textures can not reflect the true texture characteristics of the tissues and the existence of directional pseudo-texture reduces the resolution of the image, affecting the accuracy of subsequent diagnosis. Based on the principle of ultrasonic imaging, the formation of directional pseudo-texture in ultrasonic images is researched in the study. The reasons for the formation of directional pseudo-textures are analyzed, and the existence of directional pseudo-textures is confirmed in simulation experiments. The experimental results show that the existence of directional pseudo-texture does interfere with the representation of texture features in ultrasound images, which will affect the tumor segmentation results in ultrasound images. In the future clinical diagnosis process, eliminating the effects of directional pseudo-texture on diagnosis and treatment results is necessary.

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Last Update: 2019-12-26