Magnetic resonance (MR) imaging is widely used for assessing infant head and brain development and for diagnosing pathologies. The main goal of this work is the development of a segmentation framework to create patient-specific head and brain anatomical models from MR images for clinical evaluation. The proposed strategy consists of a fusion-based Deep Learning (DL) approach that combines the information of dif...
Shape analysis of infant’s heads is crucial to diagnose cranial deformities and evaluate head growth. Currently available 3D imaging systems can be used to create 3D head models, promoting the clinical practice for head evaluation. However, manual analysis of 3D shapes is difficult and operator-dependent, causing inaccuracies in the analysis. This study aims to validate an automatic landmark detection method fo...
Deformational plagiocephaly (DP) is an asymmetric flattening of the occiput, which can be caused by a preference for a sleeping position or a restriction of the head rotation. The absence of a standardized method to quantify the severity of DP is problematic, being the severity of the condition the main factor for the recommendation of a specific treatment. To improve the quality of assessment of DP and thanks ...
Deformational plagiocephaly (DP) is an asymmetric flattening of the occiput, which can be caused by a preference for a sleeping position or a restriction of the head rotation. The absence of a standardized method to quantify the severity of DP is problematic, being the severity of the condition the main factor for the recommendation of a specific treatment. To improve the quality of assessment of DP and thanks ...