Paper
9 May 2002 Object-tracking segmentation method: vertebra and rib segmentation in CT images
Dongsung Kim, Hanyoung Kim, Heung Sik Kang
Author Affiliations +
Abstract
This paper proposes a method that segments an object in 3D image slices by tracking not only the target objects to segment but also adjacent non-target objects. The tracking methodology enables the proposed method to detect and prevent a leakage, which is one of the most challenging problems in medical image segmentation. The method also provides an efficient way of modification of segmentation results by informing only suspicious image slices because of a leakage. The proposed method is applied to segment vertebrae in angio image slices in which blood vessels are enhanced with contrast media, and produced promising results in terms of both accuracy and efficiency.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dongsung Kim, Hanyoung Kim, and Heung Sik Kang "Object-tracking segmentation method: vertebra and rib segmentation in CT images", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467136
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Cited by 10 scholarly publications.
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KEYWORDS
Image segmentation

Cartilage

Blood vessels

3D image processing

Bone

Computed tomography

3D acquisition

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