Surface reconstruction from routine CT-scan shows large anatomical variations of falx cerebri and tentorium cerebelli

Abstract

Background Finite element modeling of the human head offers an alternative to experimental methods in understanding the biomechanical response of the head in trauma brain injuries. Falx, tentorium, and their notches are important structures sur-rounding the brain, and data about their anatomical variations are sparse. Objective To describe and quantify anatomical variations of falx cerebri, tentorium cerebelli, and their notches. Methods 3D reconstruction of falx and tentorium was performed by points identification on 40 brain CT-scans in a tailored Matlab program. A scatter plot was obtained for each subject, and 8 anatomical landmarks were selected. A reference frame was defined to determine the coordinates of landmarks. Segments and areas were computed. A reproducibility study was done. Results The height of falx was 34.9 ± 3.9 mm and its surface area 56.5 ± 7.7 cm 2 . The width of tentorium was 99.64 ± 4.79 mm and its surface area 57.6 ± 5.8 cm 2 . The mean length, height, and surface area of falx notch were respectively 96.9 ± 8 mm, 41.8 ± 5.9 mm, and 28.8 ± 5.8 cm 2 (range 15.8-40.5 cm 2 ). The anterior and maximal widths of tentorial notch were 25.5 ± 3.5 mm and 30.9 ± 2.5 mm; its length 54.9 ± 5.2 mm and its surface area 13.26 ± 1.6 cm 2 . The length of falx notch correlated with the length of tentorial notch (r =0.62, P <0.05). Conclusion We observe large anatomical variations of falx, tentorium, and notches, crucial to better understand the biomechanics of brain injury, in personalized finite element models.

Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection

“…However, in pediatric CT imaging, how to minimize the CT dose and make it fit in better with the as low as reasonably achievable (ALARA) principle is always a topic worth discussing [6]. There are several reports calling for proper indication selection [7,8], in order to reduce the total number of head CT, and modified scanning protocol for head CT [9][10][11][12][13] to minimize the radioactive damage in children. One of the effective and proven methods in CT imaging is to use iterative reconstruction algorithms to reduce image noise in low radiation dose CT scans to maintain image quality [13,14], and the ability of Iterative reconstruction (IR) to reduce image noise is often converted to dose reduction in clinical applications to maintain similar image noise.…”

Mechanical Properties of the Cranial Meninges: A Systematic Review

“…Previous analysis, while not identified in this review, conducted analysis of in vivo falx and tentorium geometries from computed tomography images. 75 They reported the mean length of the falx's projection into the longitudinal fissure as 41.8 ± 5.9 (s.d.) mm and the mean length of the tentorium's projection into the transverse fissure as 99.64 ± 4.79 (s.d.)…”

Influence of the corpus callosum anatomy on its mechanical behavior during a lateral impact. A finite element study

“…From this average model, four models were created by modifying the mid ratio q mid (0.67; 0.72; 0.83; 0.92), representing the free space between the free edge of the FC and the CC (Figure 1). In this study, the mid height of the FC (H_mid_FC) was fixed at 35 mm (Staquet et al 2020).…”