Statistical Analysis of Image Quality in Multi-Angle Compound Imaging

2006 ◽  
Author(s):  
Vera Behar ◽  
Milen Nikolov
Keyword(s):  
Statistical Analysis ◽  
Image Quality

Compressed ultrasound video image-quality evaluation using a Likert scale and Kappa statistical analysis

1998 ◽  
Author(s):  
Brent K. Stewart ◽  
Stephen J. Carter ◽  
Steven G. Langer ◽  
Rex K. Andrew
Keyword(s):  
Statistical Analysis ◽  
Image Quality ◽  
Quality Evaluation ◽  
Likert Scale ◽  
Video Image ◽  
Image Quality Evaluation

scholarly journals Evaluation of image quality according to the use of copper filter in indirect conversion type DR equipment

2018 ◽  
Vol 7 (2.12) ◽  
pp. 54
Author(s):  
Sinyoung Yu ◽  
Joonkoo Choi ◽  
Ghajung Kim ◽  
Joongseok GO ◽  
Kwanghyun Chang ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Image Quality ◽  
Region Of Interest ◽  
Low Energy ◽  
Effective Energy ◽  
Significance Level ◽  
Average Value ◽  
Significant Difference ◽  
One Way Anova ◽  
Background Area

Background/Objectives: The image quality is evaluated by applying copper to the thickness of filtering filter in indirect conversion type DR equipment. To evaluate the appropriate filter criteria, that does not deteriorate the image quality is obtained for SNR and CNR for each thickness.Methods/Statistical analysis: Indirect conversion type DR device was used. Acrylic phantom of 12 * 14 size was placed under the same conditions of 85kV, 200mA, 16ms.Experiments were carried out without using a filter, and each of the five copper filters of different thicknesses was irradiated 20 times each. Using the Image j program, an average value and a standard deviation were obtained after designating the region of interest and background area identically. Based on these values, SNR and CNR were obtained and statistical analysis was done by one-way ANOVA. Statistic was used PASW Statistics 18. Release 18.0.0.Findings: In the non-filter, the SNR value is 26.61 ± 2.05, the CNR value is 0.61 ± 0.06, the SNR value is 30.08 ± 4, 63 and the CNR value is 0.76 ± 0.16 for Cu-filter 0.1mm. In the Cu-filter 0.2 mm, the SNR value is 30.54 ± 4.44, the CNR value is 0.78 ± 0.16, and the SNR value at Cu-filter 0.3mm is 36.91 ± 5.47 CNR value is 1.10 ± 0.22. In the Cu-filter 1.0 mm, the SNR value is 24.88 ± 2.57, the CNR value is 0.71 ± 0.89, the SNR value is 13.82 ± 1.27 and the CNR value is 0.31 ± 0.02 at the Cu-filter 2.0 mm. The highest SNR was 0.3 mm, the highest CNR was 0.3 mm, and the Cu filter 0.3 mm was the highest in both SNR and CNR. There was a significant difference as the result of one-way ANOVA was P = 0.000 and significance level (p <0.05) range.Improvements/Applications: The use of a filter absorbs much of the low-energy region, The effective energy is increased and the radiation dose is reduced.  

Image quality criteria for an adaptive imaging system based on statistical analysis of the speckle field

1996 ◽  
Vol 13 (7) ◽  
pp. 1456 ◽  
Author(s):  
M. A. Vorontsov ◽  
G. W. Carhart ◽  
J. C. Ricklin ◽  
D. G. Voelz ◽  
D. V. Pruidze
Keyword(s):  
Statistical Analysis ◽  
Image Quality ◽  
Imaging System ◽  
Quality Criteria ◽  
Speckle Field ◽  
Adaptive Imaging

Adaptive imaging system using image quality metric based on statistical analysis of speckle fields

2000 ◽  
Author(s):  
Dai Hyun Kim ◽  
Kirill Kolesnikov ◽  
Andrew A. Kostrzewski ◽  
Gajendra D. Savant ◽  
Anatoly A. Vasiliev ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Image Quality ◽  
Imaging System ◽  
Quality Metric ◽  
Adaptive Imaging ◽  
Image Quality Metric

scholarly journals Image quality in digital radiographic systems

2003 ◽  
Vol 14 (2) ◽  
pp. 136-171 ◽  
Author(s):  
Solange Maria de Almeida ◽  
Ana Emília Figueiredo de Oliveira ◽  
Rívea Inês Ferreira ◽  
Frab Norberto Bóscolo
Keyword(s):  
Statistical Analysis ◽  
Image Quality ◽  
Radiation Doses ◽  
Central Incisor ◽  
Charge Coupled Device ◽  
Exact Test ◽  
Maxillary Central Incisor ◽  
Trained Observers ◽  
Nonparametric Statistical

The aim of the present study was to evaluate the image quality of four direct digital radiographic systems. Radiographs were made of the maxillary central incisor and mandibular left molar regions of a dry skull, and an aluminum step-wedge. The X-ray generator operated at 10 mA, 60 and 70 kVp, and images were acquired with 3, 5, 8, 12, 24 and 48 exposure pulses. Six well-trained observers classified the images by means of scores from 1 to 3. Collected data were submitted to nonparametric statistical analysis using Fisher's exact test. Statistical analysis showed significant differences (p<0.01) in image quality with the four systems. Based on the results, it was possible to conclude that: 1) all of the digital systems presented good performance in producing acceptable images for diagnosis, if the exposures of the step-wedge and the maxillary central incisor region were made at 5 pulses, as well as at 8 pulses for the mandibular left molar region, selecting 60 or 70kVp; 2) higher percentages of acceptable images were obtained with the administration of lower radiation doses in CCD-sensors (charge-coupled device); 3) the Storage Phosphor systems produced acceptable images at a large range of exposure settings, that included low, intermediate and high radiation doses.

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