SHAPE: A visual computing pipeline for interactive landmarking of 3D photograms and patient reporting for assessing craniosynostosis. C Görg, C Elkhill, J Chaij, K Royalty, PD Nguyen, B French, AC Guerrero, AR Porras.

3dMD Customer Research, Medical, 3dMDhead, Craniofacial/Cleft, Plastics, Prosthetics

SHAPE reads in a patient’s 3D photogram, automatically places a set of craniofacial landmarks, allows for their manual confirmation and correction, and automatically computes both a series of standard clinical craniofacial measurements and machine learning-based metrics of head development prior to building an analysis report for upload to the patient’s electronic medical record.

Creation of the Scaphocephalic Index: Measurement of Global and Regional Severity in Scaphocephaly. GP Bins, LZ Zhou, D Cull, RG Layton, BT Dunson, S Kogan, LR David, CM Runyan.

Neurosurgery, 3dMD Customer Research, Computer Science | Computer Vision, Medical, 3dMDhead, Craniofacial/Cleft, Plastics

Three-dimensional (3D) photography allows for the creation of surface models without the need for radiation and has been validated as reliable and equivalent to CT for calvarial measurements.

Fully automated landmarking and facial segmentation on 3D photographs. B Berends, F Bielevelt, R Schreurs, et al.

3dMD Customer Research, Computer Science | Computer Vision, Genetics, Medical, Computer Science, Craniofacial/Cleft, Oral and Maxillofacial, Orthodontics, Orthognathic, Plastics

A deep learning-based approach for automated landmark extraction from 3dMD facial photographs was developed and its precision was evaluated. The results showed high precision and consistency in landmark annotation, comparable to manual and semi-automatic annotation methods.

Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry. C Elkhill, J Liu, MG Linguraru, S LeBeau, D Khechoyan, B French, AR Porras.

3dMD Customer Research, Computer Science | Computer Vision, Medical, 3dMDhead, Craniofacial/Cleft, Plastics

We present a fully automated pipeline to identify craniofacial landmarks in real time, and we use it to assess the head shape of patients with craniosynostosis using 3D photogrammetry.