Paper
14 September 1993 Boundary estimation method for ultrasonic 3D imaging
Gosuke Ohashi, Akihisa Ohya, Michiya Natori, Masato Nakajima
Author Affiliations +
Abstract
The authors developed a new method for automatically and efficiently estimating the boundaries of soft tissue and amniotic fluid and to obtain a fine three dimensional image of the fetus from information given by ultrasonic echo images. The aim of this boundary estimation is to provide clear three dimensional images by shading the surface of the fetus and uterine wall using Lambert shading method. Normally there appears a random granular pattern called 'speckle' on an ultrasonic echo image. Therefore, it is difficult to estimate the soft tissue boundary satisfactorily via a simple method such as threshold value processing. Accordingly, the authors devised a method for classifying attributes into three categories using the neural network: soft tissue, amniotic and boundary. The shape of the grey level histogram was the standard for judgment, made by referring to the peripheral region of the voxel. Its application to the clinical data has shown a fine estimation of the boundary between the fetus or the uterine wall and the amniotic, enabling the details of the three dimensional structure to be observed.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gosuke Ohashi, Akihisa Ohya, Michiya Natori, and Masato Nakajima "Boundary estimation method for ultrasonic 3D imaging", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154534
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
3D image processing

Tissues

Neural networks

3D displays

Fetus

Ultrasonics

Image processing

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