Results of a study of remote reporting over virtual applications and using visually calibrated monitors

Background and Objectives The purpose of this study is to examine differences in image quality, discrepancy rates, productivity and user experience between remote reporting over Virtual Application (VA) using visually calibrated monitors, and reporting using diagnostic grade workstations in hospital premises. Methods Three specialist accredited radiologists examined and provisionally reported outpatient CT and MR studies over PACS delivered as a VA, using visually calibrated monitors from their homes. They then proceeded to view the same studies within hospital premises and issue a final report. Surveys were filled out for each imaging study. Discrepancies were reviewed and assigned RADPEER scores. Results A total of 51 outpatient CT and MRIs were read. Relative to hospital premise reporting, on a Likert scale of 5 (the higher the better), average image quality was 3.9, speed of loading and image manipulation was 4.4 and productivity was 4.1. Remote reporting user experience did not differ significantly between CT versus MRI studies. Complete concordance rate was 80.4% (41/51) and only one of the studies had a significant discrepancy, which may have been due to extra time given to interpretation. All three radiologists reported factors influencing image display and quality as the top factor impacting remote reporting throughput. Conclusions Remote reporting over VA with visually calibrated monitors for CT and MR can be useful in periods of staffing difficulty to augment on-site radiologists, though attention must be paid to its limitations and policies defined by local leadership with reference to relevant national position

The Spatial-Temporal Distribution of GOCI-Derived Suspended Sediment in Taiwan Coastal Water Induced by Typhoon Soudelor

This paper discusses the use of a Geostationary Ocean Color Imager (GOCI) to monitor the spatial–temporal distribution of suspended sediment (SS) along the coastal waters of northern Taiwan which was affected by Typhoon Soudelor from 8 to 10 August 2015. High temporal resolution satellite images derived from GOCI were processed to generate four-day average images of SS for pre- and post-typhoon periods. By using these four-day average images, characteristics of SS along the north of Taiwan coastal water can be tracked. The results show that SS concentration increased in the four-day average image immediately after the typhoon (11–14 August), and then decreased in the four-day average image 9 to 12 days after the typhoon (19–22 August). The mouths of the Dajia River and Tamsui River were hotspots of SS, ranging from 9 to 15 g/m3 during the two post-typhoon periods. Moreover, the maximum suspended sediment (SSmax) and its corresponding time (tmax) can be computed using GOCI hourly images for the post-typhoon period from 08:30 on 11 August to 08:30 on 22 August. The results show that SSmax occurred in the west coastal water within 4 days post-typhoon, and SSmax occurred in the east coastal water 9 to 12 days post-typhoon. Furthermore, an exponential decay model was used to compute the time when 90% of typhoon-induced SS was dissipated after Typhoon Soudelor (t90). It was found that t90 in the mouths of the Tamsui River and Heping River was the longest among all coastal waters of our study area, with a range of 360–480 h. River discharge and ocean currents with suspended sediment concentration are discussed.

COMPUTER VISUALIZATION OF THE APPEARANCE OF THE INDIGENOUS PEOPLES OF THE AMUR REGION

In this paper, a comparison is made between two methods of computer reconstruction and visualization of human appearance on the example of the indigenous peoples of the Amur region. Visualization takes place using modeling from an average image of a person from a photograph and using direct reconstruction from human remains (skull). This work assumes knowledge in the field of information technology, including virtual modeling.

PENDEKATAN STEGO-KRIPTO MODE CIPHER BLOCK CHAINING UNTUK PENGAMANAN INFORMASI PADA CITRA DIGITAL

The digital image can be one of the media for information security. The contents of information have an important value of effectiveness, one of which is as a support in decision making. Then the information needs to be done to safeguard the authority of parties who are not responsible. Such security can utilize Steganography and Cryptography (Stego-Crypto). The method used combines Stego-Crypto by randomizing information using Cipher Block Chaining (CBC) then the encryption results are secured through digital images. Based on the test results by measuring the capacity of information on the image produces test data if CBC can process characters in uppercase, spaces and other characters and the results of plaintext and ciphertext produce a ratio of 1: 2, but the LSB performance only accommodates characters depending on the number of sizes on digital image. Testing by evaluating the difference in pixel histogram, when viewed with an invisible not very visible difference, but the insertion of messages with 100-200 characters causes the addition of the average image size on stego images larger than 1: 4, the value of 1 from the original image. Besides, testing with the help of communication media, stego images or encrypted images is able to use email to send stego images because LSB is sensitive to the process of resizing images

GENERALIZING GABOR FILTERS BASED ON ATEB-FUNCTIONS

Image filtering attempts to achieve greater resolution. There is a large number of filters that allows you to bring images with clear borders. In addition, noise is present when digitizing images. One of the most common types of filtering is the Gabor filter. It allows you to restore the image with the contour allocation at a certain frequency. Its core looks like elements of the Fourier basis, which is multiplied by Gaussian. The widespread use of Gabor filters for filtration is due to the fact that it gives a strong response at those points of the image where there is a component with local features of frequency in space and orientation. It is proposed to use the Ateb-Gabor filter, which greatly expands the well-known Gabor filter. The Ateb-Gabor filter combines all the properties of a harmonic function, which is multiplied by Gaussian. As a harmonic function, it is proposed to use the Ateb-functions that greatly extend the trigonometric effect. The developed filter is applied to the images. The Ateb-Gabor filter depends on the frequency and directions of the quasiperiodic structure of the image. Usually, to simplify the task, the average image frequency is calculated. It is unchanged at every point. Filtration of images is based on the generalized Ateb-Gabor filter. Influence of filtering parameters on images is investigated. The properties of periodic Ateb-functions are investigated. The value of the period from which the filtering results depend on is calculated. Ateb-Gabor filtering allowed for wider results than the classic Gabor filter. The one-dimensional Gabor filter based on the Ateb-functions gives the possibility to obtain more lenient or more convex forms of function at the maximum described in this study. In this way, filtration with a large spectrum of curves can be realized. This provides quick identification, since a more versatile kind of filtering has been developed.

Stereoscopic 3DTV Video Quality Metric: the Compressed Average Image Intensity

This paper presents a newly designed stereoscopic video quality metric. Overall insights towards the creation of mechanisms utilized within the genuine metric are presented herein. Delivery of the core information and motivation behind the features implemented, as well as functionality of the Compressed Average Image Intensity (CAII) quality metric are of utmost importance. The mechanisms created might be characterized as an objective, reliable and versatile quality evaluation tool for advanced analysis of the content delivery chain within stereoscopic video services.