Large Deformation Analysis of Rubber by Software Fusion 360

This paper articulates you the large deformation procedure of a rubber sheet. Nowadays, material selection of a component is very important as per the trend and compact ability, materials like rubber nitrile, rubber silicone is considered for the structural analysis of rubber. By the application of Fusion 360 software with the boundary conditions, the parameters like stress, strain and deformation is known for the specific material. Keywords: Fusion 360, rubber, silicone, nitrile, stress, strain, deformation.

Perception of Virtual Stereo Objects: Spatial Perceptual Effects Caused by The Peculiarities in Interaction of Visual Mechanisms

The purpose of our study was investigation of the peculiarities of human visual perception in virtual environment created on the basis of stereo technologies. The participants were 100 adults aged from 17 to 79 years (40 males and 60 females, average age 32,9 years). Observation of virtual stereo objects was provided by computer software “Fusion” created for measuring visual fusion reserves which characterize the quality of binocular mechanisms of stereo perception. Test stimuli were random dot stereograms (RDSs) encoding a square test object moving from the screen to the observer. Separate presentation of the stimuli to the left and right eyes was based on the opposite circular polarization method. The participant’s task was to observe virtual stereo objects and describe perceived vi- sual images: their sizes, positions in depth and directions of movement. It has been found that, in conditions of view- ing the same virtual stereo objects, the participants with normally functioning mechanisms of binocular stereopsis could perceive quite different stereo images. On the basis of the perceived stereo image parameters, all participants were divided into four types. The described phenomena and the identified typology of spatial perceptual stereo effects could be considered as the consequences of restructuring interaction of visual sensory, accommodative and oculo-motor mechanisms involved in visible image formation when adapting to a virtual environment.

Comparison of micro-ultrasound and multiparametric magnetic resonance imaging for prostate cancer: A multicenter, prospective analysis

Introduction: High-resolution micro-ultrasound has the capability of imaging prostate cancer based on detecting alterations in ductal anatomy, analogous to multiparametric magnetic resonance imaging (mpMRI). This technology has the potential advantages of relatively low cost, simplicity, and accessibility compared to mpMRI. This multicenter, prospective registry aims to compare the sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) of mpMRI with high-resolution micro-ultrasound imaging for the detection of clinically significant prostate cancer. Methods: We included 1040 subjects at 11 sites in seven countries who had prior mpMRI and underwent ExactVu micro-ultrasound-guided biopsy. Biopsies were taken from both mpMRI targets (PI-RADS >3 and micro-ultrasound targets (PRIMUS >3). Systematic biopsies (up to 14 cores) were also performed. Various strategies were used for mpMRI target sampling, including cognitive fusion with micro-ultrasound, separate software-fusion systems, and software-fusion using the micro-ultrasound FusionVu system. Clinically significant cancer was those with Gleason grade group ≥2. Results: Overall, 39.5% were positive for clinically significant prostate cancer. Micro-ultrasound and mpMRI sensitivity was 94% vs. 90%, respectively (p=0.03), and NPV was 85% vs. 77%, respectively. Specificities of micro-ultrasound and MRI were both 22%, with similar PPV (44% vs. 43%). This represents the initial experience with the technology at most of the participating sites and, therefore, incorporates a learning curve. Number of cores, diagnostic strategy, blinding to MRI results, and experience varied between sites. Conclusions: In this initial multicenter registry, micro-ultrasound had comparable or higher sensitivity for clinically significant prostate cancer compared to mpMRI, with similar specificity. Micro-ultrasound is a low-cost, single-session option for prostate screening and targeted biopsy. Further larger-scale studies are required for validation of these findings.

Comparison of micro-ultrasound and multiparametric MRI imaging for prostate cancer: A multicenter prospective analysis.

296 Background: This study aims to compare the sensitivity, specificity, NPV and PPV of mpMRI with the novel high-resolution micro-ultrasound imaging modality. This approach offers the benefits of simplicity, a single intervention for imaging and biopsy, leveraging the low cost of ultrasound. Micro-ultrasound may be used to image suspicious lesions and target biopsies in real-time with or without additional MRI-based targets. Methods: Data from 9 sites was aggregated, totaling 866 subjects presenting for ExactVu micro-ultrasound guided biopsy with available mpMRI studies. Samples in all subjects were taken from mpMRI targets and micro-ultrasound targets, with up to 12 systematic samples filled in. Various strategies were used for mpMRI target sampling including cognitive fusion with micro-ultrasound, separate software-fusion systems, and software-fusion using the micro-ultrasound FusionVu system. Clinically significant cancer was considered any Gleason Sum > 6 and targeted samples were taken for PI-RADS > 2 or PRI-MUS1 > 2 lesions. Results: Overall, 39% of all biopsy cases were positive for clinically significant PCa. mpMRI demonstrated 89% sensitivity and NPV of 77%. Compared to mpMRI, micro-ultrasound sensitivity (95%) and NPV (87%) were higher. Micro-ultrasound was less specific (21% vs 23% for mpMRI) with similar PPV (44% vs 43%). The aggregate effect demonstrates higher sensitivity for csPCa with micro-ultrasound compared to mpMRI (p<0.01). Conclusions: Micro-ultrasound is an attractive option for screening and targeted biopsy. Sensitivity and NPV appear superior to MRI, but specificity is mildly reduced. Further larger-scale studies are required for validation of these findings. References: Ghai, S. et al., “Assessing Cancer Risk in Novel 29 MHz Micro-Ultrasound Images of the Prostate”, Journal of Urology, 2016 Aug;196(2):562-9. Clinical trial information: NCT03938376.