Detection of the mandibular canal via shaded surface display and multiplanar reconstruction of CT data
Identifieur interne : 002867 ( Istex/Curation ); précédent : 002866; suivant : 002868Detection of the mandibular canal via shaded surface display and multiplanar reconstruction of CT data
Auteurs : P. Solar [Autriche] ; A. Gahleitner [Autriche] ; A. Bednar ; S. Rodinger ; G. WatzekSource :
- Journal of Oral Rehabilitation [ 0305-182X ] ; 2001-03.
Descripteurs français
English descriptors
- KwdEn :
- Additional information, Alveolar crest, Alveolar process, American journal, Arbitrary colour assignment, Artefact, Atrophen unterkiefer, Axial, Axial slices, Best visualization, Blackwell science, Bone surface, Canal, Canalis mandibulae, Cancellous bone, Clinical question, Clinical relevance, Computer graphics, Computer tomography, Computerized, Computerized tomography, Craniofacial surgery, Data sets, Dental school, Diagnostic value, Entire course, Etal, False holes, Foreign bodies, Grade value, Graphics, Image interpretation, Image quality, Image segmentation, Image sets, Imaging, Imaging techniques, Implant, Implant dentistry, Implant placement, International journal, Koltay wood, Local loss, Mandible, Mandibular, Mandibular anatomy, Mandibular bone, Mandibular canal, Manual segmentation, Maxillofacial implants, Maxillofacial surgery, Medullary areas, Metal artefact score, Metal artefacts, Multiplanar reconstruction, Neck surgery, Neurovascular bundle, Oral implantology, Oral rehabilitation, Oral surgery, Overall quality, Palm springs, Panoramic projections, Present study, Prosthetic dentistry, Reconstructive surgery, Rothman, Score value, Segmentation, Segmentation process, Sensitive method, Severe limitation, Significant correlation, Software, Surface display, Surface images, Surgery, Surgical, Surgical planning, Threshold value, Threshold values, Tomography, Ucla symposium, Vannier, Visualization.
- Teeft :
- Additional information, Alveolar crest, Alveolar process, American journal, Arbitrary colour assignment, Artefact, Atrophen unterkiefer, Axial, Axial slices, Best visualization, Blackwell science, Bone surface, Canal, Canalis mandibulae, Cancellous bone, Clinical question, Clinical relevance, Computer graphics, Computer tomography, Computerized, Computerized tomography, Craniofacial surgery, Data sets, Dental school, Diagnostic value, Entire course, Etal, False holes, Foreign bodies, Grade value, Graphics, Image interpretation, Image quality, Image segmentation, Image sets, Imaging, Imaging techniques, Implant, Implant dentistry, Implant placement, International journal, Koltay wood, Local loss, Mandible, Mandibular, Mandibular anatomy, Mandibular bone, Mandibular canal, Manual segmentation, Maxillofacial implants, Maxillofacial surgery, Medullary areas, Metal artefact score, Metal artefacts, Multiplanar reconstruction, Neck surgery, Neurovascular bundle, Oral implantology, Oral rehabilitation, Oral surgery, Overall quality, Palm springs, Panoramic projections, Present study, Prosthetic dentistry, Reconstructive surgery, Rothman, Score value, Segmentation, Segmentation process, Sensitive method, Severe limitation, Significant correlation, Software, Surface display, Surface images, Surgery, Surgical, Surgical planning, Threshold value, Threshold values, Tomography, Ucla symposium, Vannier, Visualization.
Abstract
SUMMARY The purpose of this study was to evaluate the sensitivity of conventional two‐dimensional (2D) multisection images (multiplanar rendering, MPR) and registered three‐dimensional (3D) shaded surface images (shaded surface display, SSD) of standard axial computed tomography (CT) data for detecting the mandibular canal (MC) in the lower jaw of 136 patients. The patients, who had different indications for mandibular CT, were examined using standard axial CT scanning. Two post‐processing programs were used for 3D visualization of the data sets. The cross‐sectional rendered images and the shaded surface 3D images were graded for detection of the MC, the presence of artefacts, overall quality and clinical relevance. A 3D display of the MC was achieved using the MPR technique in 100% with high image quality. The surface rendered display depicted the MC in 80%. Artefacts markedly degraded the 3D displays obtained using the surface rendering technique; thus, SSD is an inappropriate technique for imaging the entire MC without manual segmentation. MPR‐CT improves the sensitivity of CT imaging in the detection of the MC with very little time needed for post‐processing compared with the SSD method. This post‐processing modality should, therefore, be considered for serial studies of patients undergoing dental CT. The sensitivity of the MPR method is even superior to the standard axial CT slices.
Url:
DOI: 10.1111/j.1365-2842.2001.tb01696.x
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A. Bednar<affiliation><mods:affiliation>Department of Oral Surgery, Dental School</mods:affiliation>
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<term>Alveolar crest</term>
<term>Alveolar process</term>
<term>American journal</term>
<term>Arbitrary colour assignment</term>
<term>Artefact</term>
<term>Atrophen unterkiefer</term>
<term>Axial</term>
<term>Axial slices</term>
<term>Best visualization</term>
<term>Blackwell science</term>
<term>Bone surface</term>
<term>Canal</term>
<term>Canalis mandibulae</term>
<term>Cancellous bone</term>
<term>Clinical question</term>
<term>Clinical relevance</term>
<term>Computer graphics</term>
<term>Computer tomography</term>
<term>Computerized</term>
<term>Computerized tomography</term>
<term>Craniofacial surgery</term>
<term>Data sets</term>
<term>Dental school</term>
<term>Diagnostic value</term>
<term>Entire course</term>
<term>Etal</term>
<term>False holes</term>
<term>Foreign bodies</term>
<term>Grade value</term>
<term>Graphics</term>
<term>Image interpretation</term>
<term>Image quality</term>
<term>Image segmentation</term>
<term>Image sets</term>
<term>Imaging</term>
<term>Imaging techniques</term>
<term>Implant</term>
<term>Implant dentistry</term>
<term>Implant placement</term>
<term>International journal</term>
<term>Koltay wood</term>
<term>Local loss</term>
<term>Mandible</term>
<term>Mandibular</term>
<term>Mandibular anatomy</term>
<term>Mandibular bone</term>
<term>Mandibular canal</term>
<term>Manual segmentation</term>
<term>Maxillofacial implants</term>
<term>Maxillofacial surgery</term>
<term>Medullary areas</term>
<term>Metal artefact score</term>
<term>Metal artefacts</term>
<term>Multiplanar reconstruction</term>
<term>Neck surgery</term>
<term>Neurovascular bundle</term>
<term>Oral implantology</term>
<term>Oral rehabilitation</term>
<term>Oral surgery</term>
<term>Overall quality</term>
<term>Palm springs</term>
<term>Panoramic projections</term>
<term>Present study</term>
<term>Prosthetic dentistry</term>
<term>Reconstructive surgery</term>
<term>Rothman</term>
<term>Score value</term>
<term>Segmentation</term>
<term>Segmentation process</term>
<term>Sensitive method</term>
<term>Severe limitation</term>
<term>Significant correlation</term>
<term>Software</term>
<term>Surface display</term>
<term>Surface images</term>
<term>Surgery</term>
<term>Surgical</term>
<term>Surgical planning</term>
<term>Threshold value</term>
<term>Threshold values</term>
<term>Tomography</term>
<term>Ucla symposium</term>
<term>Vannier</term>
<term>Visualization</term>
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<term>Alveolar crest</term>
<term>Alveolar process</term>
<term>American journal</term>
<term>Arbitrary colour assignment</term>
<term>Artefact</term>
<term>Atrophen unterkiefer</term>
<term>Axial</term>
<term>Axial slices</term>
<term>Best visualization</term>
<term>Blackwell science</term>
<term>Bone surface</term>
<term>Canal</term>
<term>Canalis mandibulae</term>
<term>Cancellous bone</term>
<term>Clinical question</term>
<term>Clinical relevance</term>
<term>Computer graphics</term>
<term>Computer tomography</term>
<term>Computerized</term>
<term>Computerized tomography</term>
<term>Craniofacial surgery</term>
<term>Data sets</term>
<term>Dental school</term>
<term>Diagnostic value</term>
<term>Entire course</term>
<term>Etal</term>
<term>False holes</term>
<term>Foreign bodies</term>
<term>Grade value</term>
<term>Graphics</term>
<term>Image interpretation</term>
<term>Image quality</term>
<term>Image segmentation</term>
<term>Image sets</term>
<term>Imaging</term>
<term>Imaging techniques</term>
<term>Implant</term>
<term>Implant dentistry</term>
<term>Implant placement</term>
<term>International journal</term>
<term>Koltay wood</term>
<term>Local loss</term>
<term>Mandible</term>
<term>Mandibular</term>
<term>Mandibular anatomy</term>
<term>Mandibular bone</term>
<term>Mandibular canal</term>
<term>Manual segmentation</term>
<term>Maxillofacial implants</term>
<term>Maxillofacial surgery</term>
<term>Medullary areas</term>
<term>Metal artefact score</term>
<term>Metal artefacts</term>
<term>Multiplanar reconstruction</term>
<term>Neck surgery</term>
<term>Neurovascular bundle</term>
<term>Oral implantology</term>
<term>Oral rehabilitation</term>
<term>Oral surgery</term>
<term>Overall quality</term>
<term>Palm springs</term>
<term>Panoramic projections</term>
<term>Present study</term>
<term>Prosthetic dentistry</term>
<term>Reconstructive surgery</term>
<term>Rothman</term>
<term>Score value</term>
<term>Segmentation</term>
<term>Segmentation process</term>
<term>Sensitive method</term>
<term>Severe limitation</term>
<term>Significant correlation</term>
<term>Software</term>
<term>Surface display</term>
<term>Surface images</term>
<term>Surgery</term>
<term>Surgical</term>
<term>Surgical planning</term>
<term>Threshold value</term>
<term>Threshold values</term>
<term>Tomography</term>
<term>Ucla symposium</term>
<term>Vannier</term>
<term>Visualization</term>
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<front><div type="abstract">SUMMARY The purpose of this study was to evaluate the sensitivity of conventional two‐dimensional (2D) multisection images (multiplanar rendering, MPR) and registered three‐dimensional (3D) shaded surface images (shaded surface display, SSD) of standard axial computed tomography (CT) data for detecting the mandibular canal (MC) in the lower jaw of 136 patients. The patients, who had different indications for mandibular CT, were examined using standard axial CT scanning. Two post‐processing programs were used for 3D visualization of the data sets. The cross‐sectional rendered images and the shaded surface 3D images were graded for detection of the MC, the presence of artefacts, overall quality and clinical relevance. A 3D display of the MC was achieved using the MPR technique in 100% with high image quality. The surface rendered display depicted the MC in 80%. Artefacts markedly degraded the 3D displays obtained using the surface rendering technique; thus, SSD is an inappropriate technique for imaging the entire MC without manual segmentation. MPR‐CT improves the sensitivity of CT imaging in the detection of the MC with very little time needed for post‐processing compared with the SSD method. This post‐processing modality should, therefore, be considered for serial studies of patients undergoing dental CT. The sensitivity of the MPR method is even superior to the standard axial CT slices.</div>
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