Designing and utilizing 3D-printed skin incision guides during the first Dutch bilateral hand-arm transplantation. S Hummelink, AS Kruit, SER Hovius, DJO Ulrich.

3dMD Customer Research, Medical, Size & Fit | Wearable Tech | Apparel | Product Design, 3D Printing, 3dMDbody

This study believes 3D printed templates usage increases time efficiency, improves the match of skin flaps in donor and recipient arms, and allows us to control the amount of skin surplus without skin flap tip necrosis. In these procedures where time is of the essence, this team believes pre-operative planning is imperative for its success.

Statistical Shape and Pose Model of the Forearm for Custom Splint Design. F Danckaers, J Van Houtte, BG Booth, F Verstreken, J Sijbers.

3dMD Customer Research, Human Factors | Anthropometric, Medical, Normative Study, Size & Fit | Wearable Tech | Apparel | Product Design, 3dMDhand, Product Design, Prosthetics

A 3D scan database of 200 healthy subjects (100 men and 100 women) performing hand motions was gathered using a 3dMD scanner. All subjects were scanned performing a movement at a frame-rate of 7.5 fps, resulting in ±100 scans per subject. Based on those scans, a new SSM was built with the help of the artificial SSM.

Three-dimensional virtual planning in mandibular advancement surgery: soft tissue prediction based on deep learning. R ter Horst, H van Weert, T Loonen, S Bergé, S Vinayahalingam, F Baan, T Maal, G de Jong, T Xi.

3dMD Customer Research, Computer Science | Computer Vision, Medical, 3dMDface, Oral and Maxillofacial, Orthognathic

This study focused on developing a novel deep-learning (DL)-based algorithm to predict the virtual soft tissue profile after mandibular advancement surgery and comparing its accuracy with the mass tensor model (MTM).

Automatic Assessment of 3-Dimensional Facial Soft Tissue Symmetry Before and After Orthognathic Surgery Using a Machine Learning Model. LJ Lo, CT Yang, CT Ho, CH Liao, HH Lin.

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

This study applied the transfer learning model with a convolutional neural network based on 3-dimensional (3D) contour line features to evaluate the facial symmetry before and after OGS. A total of 158 patients were recruited in a retrospective cohort study for the assessment and comparison of facial symmetry before and after OGS from January 2018 to March 2020. Three-dimensional facial photographs were captured by the 3dMD face system in a natural head position, with eyes looking forward, relaxed facial muscles, and habitual dental occlusion before and at least 6 months after surgery.