Semi-Synthetic 3D Cranial Point Cloud Dataset of Infant Cranial Morphologies: Brachycephaly, Dolichocephaly, Plagiocephaly, Normocephaly, Towering, and Trigonocephaly– Generated from 60 Photomedas Cases – Scaled -Noise ±2mm – 3600 Samples

This semisynthetic 3D cranial point cloud dataset has been generated to facilitate the analysis and early detection of cranial deformities in infants. Using data from 60 real cases obtained through mobile photogrammetry with the PhotoMeDAS (Photogrammetric Medical Deformation Assessment Solutions) tool, cranial deformities were simulated by applying controlled variations along the X, Y, and Z axes to represent morphological changes. The dataset covers a wide range of infant cranial morphologies, including brachycephaly, dolichocephaly, plagiocephaly, normocephaly, towering, and trigonocephaly. To enrich the data diversity, scaling factors and isotropic noise were added within a ±2 mm range. As a result, a total of 3600 semisynthetic samples were generated, significantly increasing the volume of available data for training classification algorithms such as decision trees, random forest, and multilayer perceptron neural networks. This dataset provides a valuable resource for developing and validating artificial intelligence models in the field of infant cranial shape analysis, offering an affordable and accessible alternative to traditional 3D capturing methods. However, further validation is required to confirm its applicability in real clinical environments. Keywords:3D Cranial Models, PhotoMeDAS, Photogrammetry, Semisynthetic Data, Scaling Factor, Noise, Machine Learning, Artificial Intelligence, Brachycephaly, Dolichocephaly, Plagiocephaly, Normocephaly, Towering, Trigonocephaly. *PhotoMeDAS (Photogrammetric Medical Deformation Assessment Solutions) is a creation of the GIFLE Research Group at the Universitat Politècnica de València (UPV). For nearly 20 years, GIFLE has been a pioneer in the development of technologies related to photogrammetry, computer vision, laser scanning, and remote sensing. Composed of experts in Geomatics Engineering, our group operates at the academic, institutional, and commercial levels, with a strong focus on R&D&i (Research, Development, and Innovation). The majority of our research, innovation, and technology transfer efforts are focused on the development of custom software, commissioned by companies and institutes looking to adopt cutting-edge technology. The results and advances of our work are regularly shared at conferences and scientific journals. We are on the verge of achieving our most ambitious goal to date: developing a medical device that could transform the practice of pediatric medicine.