naa a22 4500 510808093 CHVBK 20180411083427.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11548-013-0822-x doi (NATIONALLICENCE)springer-10.1007/s11548-013-0822-x Mesh-based method for measuring intracranial volume in patients with craniosynostosis [Elektronische Daten] [Antti Ritvanen, Marcelo de Oliveira, Mika Koivikko, Harri Hallila, Juha Haaja, Virve Koljonen, Junnu Leikola, Jyri Hukki, Mervi Paulasto-Kröckel] Purpose: Craniosynostosis may lead to reduced intracranial volume (ICV) and disturb normal brain growth and development. Thus, ICV is an important parameter with respect to the surgical outcome. Current methods for ICV determination from computed tomography (CT) images have drawbacks. The aim of this study was to investigate the performance of the novel mesh-based method (MBM) for ICV determination with craniosynostosis patients. Methods: Twenty-two patients operated on for scaphocephaly were included in this study. ICVs from preoperative, one-week postoperative, and one-year postoperative CT images were measured with MBM. The level of agreement with the manual segmentation method (MSM) was determined for the measurements of preoperative and one-year postoperative datasets. Repeatability was determined with re-measurements of six datasets. Measurement time was recorded for MBM. Results: Mean $$(\pm \text{ SD})$$ preoperative ICV values were 895.0 $$\pm $$ 153.1 $$\text{ cm}^{3}$$ and 896.4 $$\pm $$ 147.2 $$\text{ cm}^{3}$$ as measured with MBM and MSM, respectively. Corresponding one-year postoperative values were 1,238.3 $$\pm $$ 118.7 $$\text{ cm}^{3}$$ and 1,250.1 $$\pm $$ 117.5 $$\text{ cm}^{3}$$ . The MBM allowed ICV determination from one-week postoperative datasets. Measurement time with MBM was 4 Conclusions: MBM is an efficient method for determining the ICV of craniosynostosis patients, allowing the measurement of skulls with bony defects. The repeatability and short measurement time of MBM are attributable to the user interference and assessment of the measurement process. CARS, 2013 Mesh-based method nationallicence Intracranial volume nationallicence Craniosynostosis nationallicence 3D-CT nationallicence Ritvanen Antti Department of Electronics, School of Electrical Engineering, Aalto University, Otakaari 7B, 02150, Espoo, Finland aut de Oliveira Marcelo Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland aut Koivikko Mika Department of Radiology, Helsinki Medical Imaging Center, Helsinki University Central Hospital, Helsinki, Finland aut Hallila Harri Department of Electronics, School of Electrical Engineering, Aalto University, Otakaari 7B, 02150, Espoo, Finland aut Haaja Juha Department of Electronics, School of Electrical Engineering, Aalto University, Otakaari 7B, 02150, Espoo, Finland aut Koljonen Virve Department of Plastic Surgery, Helsinki University Central Hospital, Helsinki, Finland aut Leikola Junnu Department of Plastic Surgery, Cleft Palate and Craniofacial Center, Helsinki University Central Hospital, Helsinki, Finland aut Hukki Jyri Department of Plastic Surgery, Cleft Palate and Craniofacial Center, Helsinki University Central Hospital, Helsinki, Finland aut Paulasto-Kröckel Mervi Department of Electronics, School of Electrical Engineering, Aalto University, Otakaari 7B, 02150, Espoo, Finland aut International Journal of Computer Assisted Radiology and Surgery Springer Berlin Heidelberg 8/5(2013-09-01), 703-709 1861-6410 8:5<703 2013 8 11548 https://doi.org/10.1007/s11548-013-0822-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-013-0822-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ritvanen Antti Department of Electronics, School of Electrical Engineering, Aalto University, Otakaari 7B, 02150, Espoo, Finland aut NATIONALLICENCE 700 1- de Oliveira Marcelo Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland aut NATIONALLICENCE 700 1- Koivikko Mika Department of Radiology, Helsinki Medical Imaging Center, Helsinki University Central Hospital, Helsinki, Finland aut NATIONALLICENCE 700 1- Hallila Harri Department of Electronics, School of Electrical Engineering, Aalto University, Otakaari 7B, 02150, Espoo, Finland aut NATIONALLICENCE 700 1- Haaja Juha Department of Electronics, School of Electrical Engineering, Aalto University, Otakaari 7B, 02150, Espoo, Finland aut NATIONALLICENCE 700 1- Koljonen Virve Department of Plastic Surgery, Helsinki University Central Hospital, Helsinki, Finland aut NATIONALLICENCE 700 1- Leikola Junnu Department of Plastic Surgery, Cleft Palate and Craniofacial Center, Helsinki University Central Hospital, Helsinki, Finland aut NATIONALLICENCE 700 1- Hukki Jyri Department of Plastic Surgery, Cleft Palate and Craniofacial Center, Helsinki University Central Hospital, Helsinki, Finland aut NATIONALLICENCE 700 1- Paulasto-Kröckel Mervi Department of Electronics, School of Electrical Engineering, Aalto University, Otakaari 7B, 02150, Espoo, Finland aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer Berlin Heidelberg 8/5(2013-09-01), 703-709 1861-6410 8:5<703 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer