rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Enhanced computerized surgical planning system in craniomaxillofacial surgery
  name:
    name part: Chang, Yu-Bing.
    role:
      role term: creator
  name:
    name part: Xiong, Zixiang
    role:
      role term: thesis advisor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: In the field of craniomaxillofacial (CMF) surgery, surgical planning is an important and necessary procedure due to the complex nature of the craniofacial skeleton. Computed tomography (CT) has brought about a revolution in virtual diagnosis, surgical planning and simulation, and evaluation of treatment outcomes. It provides high-quality 3D image and model of skull for Computer-aided surgical planning system (CSPS). During the planning process, one of the essential steps is to reestablish the dental occlusion. In the first project, a new approach is presented to automatically and efficiently reestablish dental occlusion. It includes two steps. The first step is to initially position the models based on dental curves and a point matching technique. The second step is to reposition the models to the final desired occlusion based on iterative surface-based minimum distance mapping with collision constraints. With linearization of rotation matrix, the alignment is modeled by solving quadratic programming. The simulation was completed on 12 sets of digital dental models. Two sets of dental models were partially edentulous, and another two sets have first premolar extractions for orthodontic treatment. Two validation methods were applied to the articulated models. The results show that using the proposed method, the dental models can be successfully articulated with a small degree of deviations from the occlusion achieved with the gold-standard method. Low contrast resolution in CBCT image has become its major limitation in building skull model. Intensive hand-segmentation is required to reconstruct the skull model. Thin bone images are particularly affected by this limitation. In the second project, a novel segmentation approach is presented based on wavelet active shape model (WASM) for a particular interest in the outer surface of the anterior wall of maxilla. 19 CBCT datasets are used to conduct two experiments. This model-based segmentation approach is validated and …
  note: by Yu-Bing Chang.
  note: "Major Subject: Electrical Engineering"
  note: Electronic resource.
  note: Doctor of Philosophy Texas A&M University 2011 http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9305
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Electrical Engineering
  subject:
    topic: Digital dental articulation
  subject:
    topic: Centric occlusion
  subject:
    topic: Dental alignment
  subject:
    topic: 3D segmentation
  subject:
    topic: Truncation effect
  subject:
    topic: Truncation correction
  subject:
    topic: Statistical shape model
  subject:
    topic: Dental occlusion
  subject:
    topic: Eegion of interest imaging
  subject:
    topic: Cone-beam computed tomography
  subject:
    topic: Active shape model
  subject:
    topic: Craniomaxillofacial surgeries
  identifier: http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9305
  record info:
    record content source: TXA
    record creation date: 120810
    record change date: 20150922110812.0
    record identifier: in00002780447