Automatic segmentation applied to obstetric images

Vanee Vuwong; John B. Hiller; Jesse S. Jin

doi:10.1117/12.310883

24 June 1998 Automatic segmentation applied to obstetric images

Vanee Vuwong, John B. Hiller, Jesse S. Jin

Author Affiliations +

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310883
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

This paper presents a shape-based approach for searching and extracting fetal skull boundaries from an obstetric image. The proposed method relies on two major steps. Firstly, we apply the reference axes to scan the image for all potential skull boundaries. The possible skull boundaries are determined whether they are candidates. The candidate with the highest confident value will be selected as the expected head boundary. Then, the position of the expected head boundary is initialized. Secondly, we refine the initial skull boundary using the fuzzy contour model modified from the active contour basis. This results the continuous and smooth fetal skull boundary that we can use for the medical parameter measurement.

Citation Download Citation

Vanee Vuwong, Vanee Vuwong, John B. Hiller, John B. Hiller, Jesse S. Jin, Jesse S. Jin, "Automatic segmentation applied to obstetric images", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310883; https://doi.org/10.1117/12.310883

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