Robust head CT image registration pipeline for craniosynostosis skull correction surgery
Autor: | Shusil Dangi, Hina Shah, Antonio R. Porras, Beatriz Paniagua, Cristian A. Linte, Marius Linguraru, Andinet Enquobahrie |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
image registration
bone surgery medical image processing computerised tomography deformation biomechanics image resolution optimisation robust head CT image registration pipeline craniosynostosis skull correction surgery congenital malformation infant skull corrective surgery optimal correction strategy patient-specific skull model extraction presurgical computed tomography image robust multistage multiresolution registration pipeline patient-specihc CT image normal CT images initial optimisation very low resolution mean surface-to-surface distance template skull targeted skull region Medical technology R855-855.5 |
Zdroj: | Healthcare Technology Letters (2017) |
Druh dokumentu: | article |
ISSN: | 2053-3713 |
DOI: | 10.1049/htl.2017.0067 |
Popis: | Craniosynostosis is a congenital malformation of the infant skull typically treated via corrective surgery. To accurately quantify the extent of deformation and identify the optimal correction strategy, the patient-specific skull model extracted from a pre-surgical computed tomography (CT) image needs to be registered to an atlas of head CT images representative of normal subjects. Here, the authors present a robust multi-stage, multi-resolution registration pipeline to map a patient-specific CT image to the atlas space of normal CT images. The proposed registration pipeline first performs an initial optimisation at very low resolution to yield a good initial alignment that is subsequently refined at high resolution. They demonstrate the robustness of the proposed method by evaluating its performance on 560 head CT images of 320 normal subjects and 240 craniosynostosis patients and show a success rate of 92.8 and 94.2%, respectively. Their method achieved a mean surface-to-surface distance between the patient and template skull of |
Databáze: | Directory of Open Access Journals |
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