25 Years Experience of 4D Body Scanning – What Next? Chris Lane.
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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.
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.
Nose Shape Categorization and Its Impact on Design in Head Mounted Displays. TM Schnieders, K Bredenkamp, S La Rosa.
This study with 1736 subjects evaluates how Martin and Saller’s nasal index correlates to a more comprehensive exploration of nose shape variables using Principal component analysis (PCA) and nonparametric bivariate correlation analysis in the context of the design of head-mounted displays (HMDs).
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.
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.
Novel Surface Topographic Assessment of Lung Volume and Pulmonary Function Tests in Idiopathic Scoliosis: A Preliminary Study. JH Heyer, JL Wisch, KK Nagra, A Thakur, HJ Hillstrom, BN Groisser, CP Zucker, ME Cunningham, MT Hresko, R Haddas, JS Blanco, MF Di Maio, RF Widmann.
This study investigates whether surface topography measurements of body volume difference and torso volume difference between maximum inhale and exhale correlate to values determined on pulmonary function tests.
A multi-ancestry GWAS meta-analysis of facial features and its application in predicting archaic human features. S Du, J Chen, J Li, W Qian, S Wu, Q Peng, Y Liu, T Pan, Y Li, SS Hadi, J Tan, Z Yuan, J Wang, K Tang, Z Wang, Y Wen, X Dong, W Zhou, A Ruiz-Linares, Y Shi, L Jin, F Liu, M Zhang, S Wang.
In this study, we conducted a large-scale multi-ethnic meta-analysis of Genome-Wide Association Study (GWAS), including 9674 East Asians and 10,115 Europeans, quantitatively assessing 78 facial traits using 3D facial images.
Authentic Real-World 3D/4D Human Data to Train AI, Wear Tech, and Image Health, Chris Lane.
Tomorrow’s digital ‘human’ creation will be based on AI learning from authentic real-world data of people recorded physically in action with the utmost 3D fidelity.
VAREN: Very Accurate and Realistic Equine Network. S Zuffi, Y Mellbin, C Li, M Hoeschle, H Kjellstrom, S Polikovsky, E Hernlund, and MJ Black.
A novel 3D articulated parametric shape model learned from 3D scans of many real horses.
An automatic, objective method to measure and visualize volumetric changes in patients with facial palsy during 3D video recordings. T Büchner , S Sickert , GF Volk , J Denzler , O Guntinas-Lichius.
This data-driven method mitigates the risk of human biases in therapeutic evaluations and effectively transitions from static 2D images to dynamic 4D assessments of facial palsy state.
The Power of Properties: Uncovering the Influential Factors in Emotion Classification. T Büchner, N Penzel, O Guntinas-Lichius, J Denzler.
36 patients (25-72 years, 8 male, 28 female) with unilateral chronic synkinetic facial palsy, which is presumed to be a significant factor affecting classification, were recorded three times using the 30Hz 3dMDface system.