| Automatic segmentation of teeth from dentomaxillofacial 3D-CT images. | |
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MedLine Citation:
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PMID: 20625221 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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CT is an effective tool for image diagnosis because it enables noninvasive observation of internal organs. In the course of CT, 3D-CT, such as a helical scanning CT and a multi-detector row CT, has been developed. With the use of 3D-CT, organs can be observed from several viewing directions. Even now, however, 3D-CT images are generated by manual procedures to extract objective organs using the threshold method. These procedures waste time and effort. Therefore, development of highly automated and effective extracting techniques has been desired. The region growing (RG) method is one of the effective techniques of extracting internal organs. The conventional RG method, however, has some defects. Extracted regions are strongly affected by the threshold value for segmentation. A break point on a region contour yields a leakage of region. To overcome these defects, we formulated a modified region growing method with edge detection (MRGWED) which combines a three-dimensional region growing technique and an edge detection technique. Using the MRGWED, we tried to extract teeth from dentomaxillofacial 3D-CT image data. |
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Authors:
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Mitsuhiro Aizawa; Keiichi Nishikawa; Keita Sasaki; Norio Kobayashi; Mitsuru Yama; Takashi Kakizawa; Tsukasa Sano; Shinichi Murakami |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Nihon Hoshasen Gijutsu Gakkai zasshi Volume: 66 ISSN: 0369-4305 ISO Abbreviation: Nihon Hoshasen Gijutsu Gakkai Zasshi Publication Date: 2010 Apr |
Date Detail:
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Created Date: 2010-07-13 Completed Date: 2010-08-05 Revised Date: 2011-07-28 |
Medline Journal Info:
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Nlm Unique ID: 7505722 Medline TA: Nihon Hoshasen Gijutsu Gakkai Zasshi Country: Japan |
Other Details:
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Languages: eng Pagination: 343-52 Citation Subset: IM |
Affiliation:
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Department of Radiology, Suidobashi Hospital, Tokyo Dental College, Japan. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Facial Bones
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radiography* Humans Imaging, Three-Dimensional / methods* Maxilla / radiography* Radiography, Dental / methods* Tomography, X-Ray Computed / methods* Tooth / radiography* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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