Image Analysis Method For Measurement Research Articles

Use of 2D image analysis method for measurement of short fibers orientation in polymer composites

Use of 2D image analysis method for measurement of short fibers orientation in polymer composites

Application of image analysis method for measurement of fabric stretch deformation

For design of comfortable knitted fabric garments, it is necessary to know their distribution of elastic properties under the deformation. The standard tensile testing methods are not sufficient to explain distribution of these stretch properties. However, digital image analysis technique adjusted to the standard tensile test method can perform detailed study on distribution of local elastic deformation properties. The aim of this research was to develop a new method for the measurement of the local deformations between dots of stretch knitted fabrics during tensile testing. The image analysis approach was selected to calculate the gradient deformation tensor under the extension ranging from 10 %, 20%, 30% and 40 % in respective course, wale and bias directions. Moreover, this method was applied to know the deformation distribution on cylindrical surface as well by stretching the fabric under different extension. Subsequently the analysis of the deformation distribution by image processing system in MATLAB was carried out to determine the compression between cylindrical model and specimens. The results of image analysis were compared with ASTM D4964-96 standard and the actual obtained experimental results.

2A2-U07 糖尿病患者における足白癬予防のための足洗浄教育システム

The paper describes that development of a prototype system for teaching foot cleaning self-care in diabetic patients for prevention of tinea pedis. The system consists of two cameras and black light lamps. In the system, the patients can easily confirm the areas where they cannot sweep away by watching the remained fluorescent image on the tablets, once they put their feet into the system during sitting. We also developed image analysis method for measurement of remained fluorescent area.

Retinal Vessel Diameter Assessment in Papilledema by Semi-Automated Analysis of SLO Images: Feasibility and Reliability

To report feasibility and reliability of a semi-automated image analysis method for retinal vessel diameter measurements in subjects with papilledema before and after treatment. Scanning laser ophthalmoscopy (SLO) was performed in seven normal, five pseudopapilledema, and seven papilledema subjects. In four papilledema subjects, SLO was performed both before and following treatment. Two observers measured diameters of superior and inferior retinal arteries and veins from SLO images using two methods: manual analysis and semi-automated customized analysis. Vessel measurements were compared between observers and between image analysis methods. Retinal vein and artery diameters for each subject were compared between papilledema, pseudopapilledema, and normal subjects, and before and following treatment for papilledema subjects. Interobserver reliability was 0.97 (Pearson's correlation, r) and 0.90 for semi-automated and manual measurements, respectively. Correlation coefficient of manual and semi-automated measurements was 0.85. Retinal vein diameter in papilledema subjects was larger than in pseudopapilledema and normal subjects (P = 0.03, 0.04, Mann-Whitney). Papilledema subjects had a decrease in retinal vein diameter following treatment for and resolution of papilledema (P = 0.04, Wilcoxon signed rank). Retinal artery diameters were not significantly different between papilledema and pseudopapilledema or normal groups, and did not significantly change following papilledema treatment. A feasible and reliable semi-automated image analysis method for measurement of retinal artery and vein diameters from SLO images of elevated optic nerves is reported. Further studies are needed to determine the clinical utility of retinal vein diameter measurements as a marker for diagnosis and treatment of papilledema.

Volumetric quantitative computed tomography of the proximal femur: Precision and relation to bone strength

We have developed a three-dimensional computed tomography (CT) scanning and image analysis method for measurement of trabecular and integral bone mineral density (BMD) and geometry in automatically determined femoral-neck and trochanteric subregions of the proximal femur. We measured the correlation of the density and geometry variables to femoral strength assessed in vitro under loading simulating a single-limb condition and a fall to the side. While BMD alone accounted for 48%–77% of the variability in strength for the stance loading configuration, femoral neck cross-sectional area (minCSA) and femoral neck axis length (FNAL) also contributed independently to femoral strength, and a combination of BMD and geometry variables explained 87%–93% of the variance in the data. For the fall loading configuration, trochanteric trabecular BMD alone explained 87% of the variability of strength. The reproducibility in vivo of the technique was assessed in a group of seven postmenopausal women, who underwent repeat scans with repositioning. For trabecular BMD, the precision was 1.1% and 0.6% for the femoral neck and trochanteric subregions, respectively, compared to 3.3% and 1.6% for the corresponding integral envelopes. Thus, trabecular BMD measurements were reproducible and highly correlated to biomechanical strength measurements. These results support further exploration of quantitative CT for assessment of osteoporosis at the proximal femur.