Detection of the mandibular canal via shaded surface display and multiplanar reconstruction of CT data.
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.
Solar
P
P
Department of Oral Surgery, Dental School, University of Vienna, Austria.
Gahleitner
A
A
Bednar
A
A
Rodinger
S
S
Watzek
G
G
D000293:Adolescent; D000328:Adult; D000368:Aged; D019412:Anatomy, Cross-Sectional; D016477:Artifacts; D003196:Computer Graphics; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008297:Male; D008334:Mandible / Q000098:blood supply / Q000000981:diagnostic imaging* / Q000294:innervation; D008340:Mandibular Nerve / Q000000981:diagnostic imaging; D008875:Middle Aged; D011856:Radiographic Image Enhancement / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000379:methods*