Automatic assessment of the quality of patient positioning and field of view of head CT scans

Author(s):  
Thomas Buelow ◽  
Stewart Young ◽  
Tim Harder ◽  
Isabelle Frischmuth ◽  
Jan-Hendrik Buhk
2013 ◽  
Author(s):  
Thomas Bülow ◽  
Kirsten Meetz ◽  
Dominik Kutra ◽  
Thomas Netsch ◽  
Rafael Wiemker ◽  
...  

2016 ◽  
Vol 23 (3) ◽  
pp. 263-268 ◽  
Author(s):  
Baukje Hemmes ◽  
Cécile R. L. P. N. Jeukens ◽  
Aliaa Al-Haidari ◽  
Paul A. M. Hofman ◽  
Ed S. vd Linden ◽  
...  
Keyword(s):  
Ct Scans ◽  

2005 ◽  
Vol 71 (9) ◽  
pp. 772-775 ◽  
Author(s):  
Charles Wong ◽  
Kevin Taubman ◽  
Francesca Hoehne ◽  
Malhotra Siddharth ◽  
Murali Naidu ◽  
...  

Computed tomography (CT) is an important diagnostic tool in the evaluation of trauma patients. Accurate interpretation of CT scans remains critical in decision-making and the resultant quality of care. In our study, the records of a consecutive cohort of trauma patients who underwent after-hour CT scans of the head and abdomen between January 23 and June 30, 2004, at Kern Medical Center were reviewed. Three hundred thirty-five CT studies were collected in 211 patients. The accuracy of resident interpretation was 92.8 per cent for abdominal and 97.5 per cent for head CT. Resident readings were 93.2 per cent sensitive and 95.4 per cent specific with a positive predictive value of 85.2 per cent and a negative predictive value of 98.0 per cent. There were 16 (4.8%) instances of interpretation discrepancy between the surgical resident and attending radiologist. Most differences occurred in the evaluation of abdominal CT. In no instance was management or outcome for these patients affected. This data demonstrates a low error rate in resident interpretation of after-hour CT scans of the head and abdomen in trauma, but there remains a need for the continued review of the quality of surgical resident radiologic interpretation in situations when an attending radiologist is not immediately available.


Author(s):  
Kristofer Montazeri ◽  
Sigurdur Aegir Jonsson ◽  
Jon Skirnir Agustsson ◽  
Marta Serwatko ◽  
Thorarinn Gislason ◽  
...  

Abstract Purpose Evaluate the effect of respiratory inductance plethysmography (RIP) belt design on the reliability and quality of respiratory signals. A comparison of cannula flow to disposable cut-to-fit, semi-disposable folding and disposable RIP belts was performed in clinical home sleep apnea testing (HSAT) studies. Methods This was a retrospective study using clinical HSAT studies. The signal reliability of cannula, thorax, and abdomen RIP belts was determined by automatically identifying periods during which the signals did not represent respiratory airflow and breathing movements. Results were verified by manual scoring. RIP flow quality was determined by examining the correlation between the RIP flow and cannula flow when both signals were considered reliable. Results Of 767 clinical HSAT studies, mean signal reliability of the cut-to-fit, semi-disposable, and disposable thorax RIP belts was 83.0 ± 26.2%, 76.1 ± 24.4%, and 98.5 ± 9.3%, respectively. The signal reliability of the cannula was 92.5 ± 16.1%, 87.0 ± 23.3%, and 85.5 ± 24.5%, respectively. The automatic assessment of signal reliability for the RIP belts and cannula flow had a sensitivity of 50% and a specificity of 99% compared with manual assessment. The mean correlation of cannula flow to RIP flow from the cut-to-fit, semi-disposable, and disposable RIP belts was 0.79 ± 0.24, 0.52 ± 0.20, and 0.86 ± 0.18, respectively. Conclusion The design of RIP belts affects the reliability and quality of respiratory signals. The disposable RIP belts that had integrated contacts and did not fold on top of themselves performed the best. The cut-to-fit RIP belts were most likely to be unreliable, and the semi-disposable folding belts produced the lowest-quality RIP flow signals compared to the cannula flow signal.


Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2940
Author(s):  
Luciano Ortenzi ◽  
Simone Figorilli ◽  
Corrado Costa ◽  
Federico Pallottino ◽  
Simona Violino ◽  
...  

The degree of olive maturation is a very important factor to consider at harvest time, as it influences the organoleptic quality of the final product, for both oil and table use. The Jaén index, evaluated by measuring the average coloring of olive fruits (peel and pulp), is currently considered to be one of the most indicative methods to determine the olive ripening stage, but it is a slow assay and its results are not objective. The aim of this work is to identify the ripeness degree of olive lots through a real-time, repeatable, and objective machine vision method, which uses RGB image analysis based on a k-nearest neighbors classification algorithm. To overcome different lighting scenarios, pictures were subjected to an automatic colorimetric calibration method—an advanced 3D algorithm using known values. To check the performance of the automatic machine vision method, a comparison was made with two visual operator image evaluations. For 10 images, the number of black, green, and purple olives was also visually evaluated by these two operators. The accuracy of the method was 60%. The system could be easily implemented in a specific mobile app developed for the automatic assessment of olive ripeness directly in the field, for advanced georeferenced data analysis.


2020 ◽  
Vol 6 (3) ◽  
pp. 522-525
Author(s):  
Dorina Hasselbeck ◽  
Max B. Schäfer ◽  
Kent W. Stewart ◽  
Peter P. Pott

AbstractMicroscopy enables fast and effective diagnostics. However, in resource-limited regions microscopy is not accessible to everyone. Smartphone-based low-cost microscopes could be a powerful tool for diagnostic and educational purposes. In this paper, the imaging quality of a smartphone-based microscope with four different optical parameters is presented and a systematic overview of the resulting diagnostic applications is given. With the chosen configuration, aiming for a reasonable trade-off, an average resolution of 1.23 μm and a field of view of 1.12 mm2 was achieved. This enables a wide range of diagnostic applications such as the diagnosis of Malaria and other parasitic diseases.


2014 ◽  
Vol 41 (6Part1) ◽  
pp. 061910 ◽  
Author(s):  
Uros Stankovic ◽  
Marcel van Herk ◽  
Lennert S. Ploeger ◽  
Jan-Jakob Sonke

2019 ◽  
Vol 6 (4) ◽  
pp. 215-220
Author(s):  
Sh. N Bortsvadze ◽  
Evgeniya A. Svidinskaya ◽  
T. A Dzhibladze ◽  
I. D Khokhlova ◽  
Yan Van

The article aims to assess the possibility of ultrasound scanning and dopplerstudy in the assessment of the condition of the ovaries and endometrial in patients after long intake of COC, predicting the restoration of reproductive function after the abolition of hormonal contraception. Material and methods. In 2018-2019, 37 women were examined after the abolition of oral contraceptives, which they took for a long period of time. At the time of the examination, all the patients stopped taking COC at least 2 months ago due to the fact that they were planning a pregnancy. UW the study was conducted on the apparat Voluson E8 Expert (General Electric), improving the quality of diagnostics used Automatic assessment of follicle condition based on ultrasonic echography (Sono AVCTM follicle) and tomographic ultrasound (TUI). Results. According to the study significant changes recorded 17 patients whose menstrual cycle did not recover within the first 6 months after the cancellation of COC. In a group of 20 patients with a regular menstrual cycle, the results of the study were within normal limits, pregnancy within 6 months occurred on their own in 8 of them. Conclusion. The possibilities of 3 dimensional reconstruction and programs for evaluating the follicular apparatus significantly improve the quality of ultrasound diagnostics, give more information about the presence of small follicles, blood flow in the ovarian tissue, the structure of the cortical apparatus substances and stroma, whichis the ability of a clinician to obtain a complete understanding of the condition of the ovaries and endometrial and predicting a good health of patients. The article may be of interest to obstetricians-gynecologists, ultrasound specialists, endocrinologists, reproductive specialists.


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