title: The quantitative assessment of the pre- and postoperative craniosynostosis using the methods of image analysis.
abstract: This paper considers the problem of the CT based quantitative assessment of the craniosynostosis before and after the surgery. First, fast and efficient brain segmentation approach is proposed. The algorithm is robust to discontinuity of skull. As a result it can be applied both in pre- and post-operative cases. Additionally, image processing and analysis algorithms are proposed for describing the disease based on CT scans. The proposed algorithms automate determination of the standard linear indices used for assessment of the craniosynostosis (i.e. cephalic index CI and head circumference HC) and allow for planar and volumetric analysis which so far have not been reported. Results of applying the introduced methods to sample craniosynostotic cases before and after the surgery are presented and discussed. The results show that the proposed brain segmentation algorithm is characterized by high accuracy when applied both in the pre- and postoperative craniosynostosis, while the introduced planar and volumetric indices for the disease description may be helpful to distinguish between the types of the disease.
authors.affiliation: Lodz University of Technology, Institute of Applied Computer Science, 18/22 Stefanowskiego Str., 90-924 Łodz, Poland. Electronic address: anna.fabijanska@p.lodz.pl.
authors.forename: Anna
authors.initials: A
authors.lastname: Fabijańska
authors.affiliation: Lodz University of Technology, Institute of Applied Computer Science, 18/22 Stefanowskiego Str., 90-924 Łodz, Poland. Electronic address: tomasz.weglinski@p.lodz.pl.
authors.forename: Tomasz
authors.initials: T
authors.lastname: Węgliński
mesh_terms: D003398:Craniosynostoses / Q000000981:diagnostic imaging* / Q000601:surgery*; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods; D011182:Postoperative Care / Q000379:methods; D011300:Preoperative Care / Q000379:methods; D011379:Prognosis; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D025321:Surgery, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*; D016896:Treatment Outcome
keywords: Brain segmentation; Computer aided diagnosis; Image analysis