3dMD Announces the Next Generation of Downstream Dynamic-4D Image Analysis Software.
3dMD’s natural software evolution to more sophisticated dynamic-4D image analysis, landmark detection, and feature tracking capabilities.
Training AI, Wearing Tech,
and Imaging Health.
3dMD’s natural software evolution to more sophisticated dynamic-4D image analysis, landmark detection, and feature tracking capabilities.
In summary, this study will serve as evidence to guide clinicians in deciding whether to perform the T&A on patients prior to functional therapy based on a wide range of objectively and subjectively measured outcomes and provide a reference for multidisciplinary management of OSA with craniofacial alterations in growing children.
For infants up to age three months, 3D images were performed in our neonatal intermediate care unit in the supine position using a 10Hz 3dMDface.t System with this set-up being developed specifically for this study. Subsequently, 3D images were taken in an upright position with infants sitting on their parent’s lap in the department of orthodontics using a 10Hz 3dMDtrio.t system.
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.
Preoperative baseline breast measurements, age, and BMI can impact bra designs for breast cancer survivors who undergo autologous reconstruction due to size, shape, and symmetry changes. Bra needs of people who undergo autologous reconstruction differ from those who undergo implant-based reconstruction.
3dMD facial images and deep transfer learning have been firstly combined for evaluating the facial attractiveness in patients undergoing Orthognathic surgery.
Applying standard acquisition protocols, 3D neutral expression facial images were captured using 3dMDface systems of participants during their annual visits from 2018 to 2022.
We included all children with scans, either from 3D CT skin reconstructed images or from a 3dMDhead system to undergo the morphometric analyses.
Our approach substantially minimizes human intervention simplifying the clinical routine and interaction with 3D scans. The proposed pipeline can potentially more effectively analyze and monitor patient treatment progress.
We acquired neutral facial expression 3D images using the 3dMD system. Patients were imaged with a cone beam computed tomography (CBCT) and/or 3dMD system before and one year after the autologous bone graft (ABG) procedure.