scholarly journals Digital Leg Volume Quantification: Precision Assessment of a Novel Workflow Based on Single Capture Three-dimensional Whole-Body Surface Imaging

2021 ◽  
Author(s):  
Lucas Etzel ◽  
Thilo L. Schenck ◽  
Riccardo E. Giunta ◽  
Zhouxiao Li ◽  
Ya Xu ◽  
...  
Keyword(s):  
Treatment Options ◽  
Three Dimensional ◽  
Study Participant ◽  
Region Of Interest ◽  
Whole Body ◽  
Surface Imaging ◽  
Paired Samples ◽  
3D Surface ◽  
Volume Measurements ◽  
Leg Morphology

AbstractWhole-body three-dimensional surface imaging (3DSI) offers the ability to monitor morphologic changes in multiple areas without the need to individually scan every anatomical region of interest. One area of application is the digital quantification of leg volume. Certain types of morphology do not permit complete circumferential scan of the leg surface. A workflow capable of precisely estimating the missing data is therefore required. We thus aimed to describe and apply a novel workflow to collect bilateral leg volume measurements from whole-body 3D surface scans regardless of leg morphology and to assess workflow precision. For each study participant, whole-body 3DSI was conducted twice successively in a single session with subject repositioning between scans. Paired samples of bilateral leg volume were calculated from the 3D surface data, with workflow variations for complete and limited leg surface visibility. Workflow precision was assessed by calculating the relative percent differences between repeated leg volumes. A total of 82 subjects were included in this study. The mean relative differences between paired left and right leg volumes were 0.73 ± 0.62% and 0.82 ± 0.65%. The workflow variations for completely and partially visible leg surfaces yielded similarly low values. The workflow examined in this study provides a precise method to digitally monitor leg volume regardless of leg morphology. It could aid in objectively comparing medical treatment options of the leg in a clinical setting. Whole-body scans acquired using the described 3DSI routine may allow simultaneous assessment of other changes in body morphology after further validation.

Review of three-dimensional (3D) surface imaging for oncoplastic, reconstructive and aesthetic breast surgery

The Breast ◽  
2015 ◽  
Vol 24 (4) ◽  
pp. 331-342 ◽  
Author(s):  
Rachel L. O'Connell ◽  
Roger J.G. Stevens ◽  
Paul A. Harris ◽  
Jennifer E. Rusby
Keyword(s):  
Breast Surgery ◽  
Three Dimensional ◽  
Surface Imaging ◽  
3D Surface ◽  
3D Surface Imaging ◽  
Aesthetic Breast

scholarly journals Data-Driven Intelligent 3D Surface Measurement in Smart Manufacturing: Review and Outlook

Machines ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 13
Author(s):  
Yuhang Yang ◽  
Zhiqiao Dong ◽  
Yuquan Meng ◽  
Chenhui Shao
Keyword(s):  
High Resolution ◽  
High Performance ◽  
Sampling Design ◽  
Three Dimensional ◽  
Measurement Data ◽  
Data Driven ◽  
Surface Measurement ◽  
Smart Manufacturing ◽  
Future Research ◽  
3D Surface

High-fidelity characterization and effective monitoring of spatial and spatiotemporal processes are crucial for high-performance quality control of many manufacturing processes and systems in the era of smart manufacturing. Although the recent development in measurement technologies has made it possible to acquire high-resolution three-dimensional (3D) surface measurement data, it is generally expensive and time-consuming to use such technologies in real-world production settings. Data-driven approaches that stem from statistics and machine learning can potentially enable intelligent, cost-effective surface measurement and thus allow manufacturers to use high-resolution surface data for better decision-making without introducing substantial production cost induced by data acquisition. Among these methods, spatial and spatiotemporal interpolation techniques can draw inferences about unmeasured locations on a surface using the measurement of other locations, thus decreasing the measurement cost and time. However, interpolation methods are very sensitive to the availability of measurement data, and their performances largely depend on the measurement scheme or the sampling design, i.e., how to allocate measurement efforts. As such, sampling design is considered to be another important field that enables intelligent surface measurement. This paper reviews and summarizes the state-of-the-art research in interpolation and sampling design for surface measurement in varied manufacturing applications. Research gaps and future research directions are also identified and can serve as a fundamental guideline to industrial practitioners and researchers for future studies in these areas.

scholarly journals Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems

Vibration ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 49-63
Author(s):  
Waad Subber ◽  
Sayan Ghosh ◽  
Piyush Pandita ◽  
Yiming Zhang ◽  
Liping Wang
Keyword(s):  
Dynamical Systems ◽  
Computational Cost ◽  
Three Dimensional ◽  
Region Of Interest ◽  
System Response ◽  
Computational Domain ◽  
User Interest ◽  
Numerical Resolution ◽  
Multi Scale ◽  
Operation Conditions

Industrial dynamical systems often exhibit multi-scale responses due to material heterogeneity and complex operation conditions. The smallest length-scale of the systems dynamics controls the numerical resolution required to resolve the embedded physics. In practice however, high numerical resolution is only required in a confined region of the domain where fast dynamics or localized material variability is exhibited, whereas a coarser discretization can be sufficient in the rest majority of the domain. Partitioning the complex dynamical system into smaller easier-to-solve problems based on the localized dynamics and material variability can reduce the overall computational cost. The region of interest can be specified based on the localized features of the solution, user interest, and correlation length of the material properties. For problems where a region of interest is not evident, Bayesian inference can provide a feasible solution. In this work, we employ a Bayesian framework to update the prior knowledge of the localized region of interest using measurements of the system response. Once, the region of interest is identified, the localized uncertainty is propagate forward through the computational domain. We demonstrate our framework using numerical experiments on a three-dimensional elastodynamic problem.

scholarly journals The potential role of three-dimensional surface imaging as a tool to evaluate aesthetic outcome after Breast Conserving Therapy (BCT)

2017 ◽  
Vol 164 (2) ◽  
pp. 385-393 ◽  
Author(s):  
Rachel L. O’Connell ◽  
Rosa Di Micco ◽  
Komel Khabra ◽  
Lisa Wolf ◽  
Nandita deSouza ◽  
...  
Keyword(s):  
Potential Role ◽  
Three Dimensional ◽  
Breast Conserving Therapy ◽  
Surface Imaging ◽  
Aesthetic Outcome ◽  
Dimensional Surface

scholarly journals Farnesoid X Receptor an Emerging Target to Combat Obesity

2017 ◽  
Vol 35 (3) ◽  
pp. 185-190 ◽  
Author(s):  
C. Daniel De Magalhaes Filho ◽  
Michael Downes ◽  
Ronald M. Evans
Keyword(s):  
Type 2 Diabetes ◽  
Bile Acid ◽  
Treatment Options ◽  
Farnesoid X Receptor ◽  
Whole Body ◽  
Body Lipid ◽  
Associated Diseases ◽  
Attractive Candidate ◽  
Potential Use

Obesity and its associated diseases, including type 2 diabetes, have reached epidemic levels worldwide. However, available treatment options are limited and ineffective in managing the disease. There is therefore an urgent need for the development of new pharmacological solutions. The bile acid (BA) Farnesoid X receptor (FXR) has recently emerged as an attractive candidate. Initially described for their role in lipid and vitamin absorption from diet, BAs are hormones with powerful effects on whole body lipid and glucose metabolism. In this review, we focus on FXR and how 2 decades of work on this receptor, both in rodents and humans, have led to the development of drug agonists with potential use in humans for treatment of conditions ranging from obesity-associated diseases to BA dysregulation.

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