Int J Comput Assist Radiol Surg - Design and development of a virtual anatomic atlas of the human skull for automatic segmentation in computer-assisted surgery, preoperative planning, and navigation.

Tópicos

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Resumo

RPOSE: Manual segmentation of CT datasets for preoperative planning and intraoperative navigation is a time-consuming procedure. The purpose of this study was to develop an automated segmentation procedure for the facial skeleton based on a virtual anatomic atlas of the skull, to test its practicability, and to evaluate the accuracy of the segmented objects.MATERIALS AND METHODS: The atlas skull was created by manually segmenting an unaffected skull CT dataset. For automated segmentation of cases via IPlan cranial (BrainLAB, Germany), the atlas skull underwent projection, controlled deformation, and a facultative threshold segmentation within the individual datasets, of which 16 routine CT (13 pathologies, 3 without) were processed. The variations of the no-threshold versus threshold segmentation results compared to the original were determined. The clinical usability of the results was assessed in a multicentre evaluation.RESULTS: Compared to the original dataset, the mean accuracy was [Formula: see text] mm for the threshold segmentation and 0.6-1.4 mm for the no-threshold segmentation. Comparing both methods together, the deviation was [Formula: see text] mm. An isolated no-threshold segmentation of the orbital cavity alone resulted in a mean accuracy of [Formula: see text] mm. With regard to clinical usability, the no-threshold method was clearly preferred, reaching modal scores of "good" to "moderate" in most areas. Limitations were seen in segmenting the TMJ, mandibular fractures, and thin bone in general.CONCLUSION: The feasibility of automated skull segmentation was demonstrated. The virtual anatomic atlas can improve the preprocessing of skull CT scans for computer assisted craniomaxillofacial surgery planning.

Resumo Limpo

rpose manual segment ct dataset preoper plan intraop navig timeconsum procedur purpos studi develop autom segment procedur facial skeleton base virtual anatom atlas skull test practic evalu accuraci segment objectsmateri method atlas skull creat manual segment unaffect skull ct dataset autom segment case via iplan cranial brainlab germani atlas skull underw project control deform facult threshold segment within individu dataset routin ct patholog without process variat nothreshold versus threshold segment result compar origin determin clinic usabl result assess multicentr evaluationresult compar origin dataset mean accuraci formula see text mm threshold segment mm nothreshold segment compar method togeth deviat formula see text mm isol nothreshold segment orbit caviti alon result mean accuraci formula see text mm regard clinic usabl nothreshold method clear prefer reach modal score good moder area limit seen segment tmj mandibular fractur thin bone generalconclus feasibl autom skull segment demonstr virtual anatom atlas can improv preprocess skull ct scan comput assist craniomaxillofaci surgeri plan

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