NDLI: Automatic Extraction of Inferior Alveolar Nerve Canal Using Feature-Enhancing Panoramic Volume Rendering

Content Provider	IEEE Xplore Digital Library
Author	Gyehyun Kim Jeongjin Lee Ho Lee Jinwook Seo Yun-Mo Koo Yeong-Gil Shin Bohyoung Kim
Copyright Year	1964
Abstract	Dental implant surgery, which involves the surgical insertion of a dental implant into the jawbone as an artificial root, has become one of the most successful applications of computed tomography (CT) in dental implantology. For successful implant surgery, it is essential to identify vital anatomic structures such as the inferior alveolar nerve (IAN), which should be avoided during the surgical procedure. Due to the ambiguity of its structure, the IAN is very elusive to extract in dental CT images. As a result, the IAN canal is typically identified in most previous studies. This paper presents a novel method of automatically extracting the IAN canal. Mental and mandibular foramens, which are regarded as the ends of the IAN canal in the mandible, are detected automatically using 3-D panoramic volume rendering (VR) and texture analysis techniques. In the 3-D panoramic VR, novel color shading and compositing methods are proposed to emphasize the foramens and isolate them from other fine structures. Subsequently, the path of the IAN canal is computed using a line-tracking algorithm. Finally, the IAN canal is extracted by expanding the region of the path using a fast marching method with a new speed function exploiting the anatomical information about the canal radius. In experimental results using ten clinical datasets, the proposed method identified the IAN canal accurately, demonstrating that this approach assists dentists substantially during dental implant surgery.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	12
File Size	1119643
Starting Page	253
Ending Page	264
File Format	PDF
ISSN	00189294
Volume Number	58
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Irrigation Image color analysis Bones Computed tomography Three dimensional displays Pixel Dentistry texture analysis Computed tomography (CT) dental implant surgery fast marching method (FMM) inferior alveolar nerve (IAN) canal panoramic volume rendering (VR)
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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