USE OF SECTRA VIRTUAL DISSECTION TABLE IN THE EDUCATIONAL PROCESS

The article features the research of the effectiveness of using the virtual dissection table in medical higher educational institutions. The theoretical and methodological foundations of the use of the virtual dissection table in the training of future medical specialists are determined, practical aspects are described. Laboratory works have been created on the use of the virtual dissection table in teaching theoretical and clinical disciplines in medical higher education institutions. The authors considered the formation of the following components of students’ experimental competence through the use of Sectra Virtual Dissection Table during the lessons: cognitive-intellectual, diagnostic, prognostic, information, analytical and research. The cross-curricular links between the disciplines "Human Anatomy" and "Medical and Biological Physics" in view of the formation of the aforementioned experimental competences are considered. The algorithm for work with the muscular system in the Human Anatomy Atlas program on the Sectra Table F18 Virtual Dissection Table is described in detail. The authors showed the capabilities of the Sectra Virtual Dissection Table: viewing realistic human anatomy; simulation of the human body in combination with 3D touch control when viewing, panning, rotating and zooming in an image; distance measurement in 3D volume and arbitrary clipping plane; cropping a part of 3D volume etc. The authors point out that the use of a virtual anatomical table should take into account students’ and teachers’ information and digital competence to work with modern virtual equipment and the educational environment of the medical educational institution. Extended clinical cases with unique pathologies in the Sectra Table library contribute to the formation of medical students’ professional competencies. The authors conclude that the use of medical computer programs allows the teacher to organize innovative types of educational activities and to form students’ experimental competence components. The prospects for further research might involve conducting a pedagogical experiment on the effectiveness of using the created system of laboratory works and demonstrations on the basis of Sectra Table F18 Virtual Dissection Table.

Comparison of entrance surface air kerma measurement with MTS-N (LiF: Mg, Ti) chips with a kilovoltage X-ray source

Objective: Radiation detectors are key components that ensure the accuracy and performances of dosimetry equipment. The study is aimed to compare the mean entrance surface air kerma (ESAK) between a DCT-10mm ionization chamber (IC) and MTS-N (LiF: Mg, Ti) chips when both detectors are exposed to ≤ 5mGy with a 10 by 10 field size, with an X-ray source and to determine the accuracy of the Thermoluminescent (TL) chips. Also, the dose will be compared to similar studies. Materials and Methods: A functional, Digital Radiography (DR) X-ray System was used. A DCT-10mm ionization chamber (IC) and an XR Multidetector was positioned at a Source to Image Distance (SID) of 100cm on polystyrene, about 20cm thick. An X-ray spectrum generated at a Practical Peak Voltage (PPV) of 60-107kV with Half Value Layer (HVL) of 2.4-4.3mmAl and filtration > 3mmAl was used. The same setup was used for the MTS-N chips. Results: The mean doses for 1-5 mGy with the MTS-N chips were 1.07±0.07, 1.60±0.13, 2.23±0.11, 2.58±0.07 and 3.45±0.10 mGy respectively, with accuracies of 7, 20, 26, 36 and 31%. Dose accuracy at 1and 2mGy was within 25% respectively. Dose accuracies at 3, 4 and 5mGy was within >25%. The correction factor for 1-5mGy was 0.94, 1.25, 1.35, 1.55 and 1.45 respectively. Conclusion: Validation of the MTS-N chips with the reference ionization chamber to this study was within 36%. The Radiation and Nuclear Safety Authority (STUK) recommends that ESAK be within 25% for entrance surface dose. ESAK accuracy mostly increased with dose as observed in this study.

Augmented Reality Application using Dynamic Location-Based Tracking of Taman Ayun Temple

Taman Ayun Temple is a world cultural heritage in Bali. Based on observations, information regarding the location at Taman Ayun Temple is still not optimal. This study aims to design an application that displays location information using markerless augmented reality. Markerless AR is a technology that displays virtual objects into the real world using GPS, digital compass, and accelerometer. The application is designed using the Wikitude SDK platform and displays information on location, description, image, distance from the user, and location direction. Data is stored in a database server and managed using the web server. Applications are in Indonesian and English. The testing compares the actual distance with the distance displayed in the application using devices with different OS and RAM. Application speed is less than 1 second depending on RAM and internet speed, while location accuracy depends on smartphone GPS accuracy with a difference of less than 10 meters from the actual distance.

MPP: A Novel Algorithm for Estimating Vehicle Space Headways from a Single Image

Vehicle space headway, also called spacing, is an important and basic traffic parameter. Traditional space headway calculation methods are facing the problems of large errors and high costs. This paper presents a novel algorithm based on measurement point pairs (MPPs) to estimate the real-time microcosmic vehicle space headway from single images in existing traffic surveillance videos and images without any additional equipment. First, the camera is calibrated with road markings to obtain the relationship between the image coordinates and the world coordinates. Second, vehicle pairs of two successive vehicles in the image are established, measurement points on each vehicle are selected by video intelligence analysis technologies, and their world coordinates are calculated by camera calibration results. Finally, the measurement points of the preceding and following vehicles are matched to obtain the MPPs, followed by the calculation of the weighted space headway. By using the measurement point information, one of the most difficult problems in image distance measurement, the lack of height information, is solved. The main factors causing estimation errors are fully addressed and the range and trend of errors under certain conditions are given by virtual simulation. Two real-world experiments are used to prove the accuracy and usability of the MPP in common video scenes: the simulation experiment indicates that the MPP algorithm achieves a high accuracy with estimation error less than ±0.1 m and the relative error within 1.1%; the application experiment shows that the MPP-based calculation is more accurate and stable than the state-of-the-art distance measurement algorithm and that the convenience of the proposed MPP algorithm is higher than that of traditional methods of space headway estimation.