If a positive effect could be shown, a dose reduction might also be possible. As SimGrid practically works as a replacement for an anti-scatter grid, it would be interesting to see if it still has a positive effect for smaller patients where a grid is not used normally. An important difference compared to adults is the use of anti-scatter grids only for a patient diameter more than 12 – 15 cm. There are limited data in children and neonates. So far, there are studies on body phantoms and adults that suggest a positive effect from SimGrid on image quality and a possible dose reduction for adults. S-Enhance is software that optimizes detail detection in tubes and lines as well as contrast control by enhancing visual recognition of tubes and inserted lines (Fig. The raw input image is compensated with a map of the estimated scattered radiation, resulting in an image similar to an image with an anti-scatter grid, which makes the software flexible to various exposure parameters (Fig. SimGrid is a deep-learning algorithm based on ScatterNets, which is a Convolutional Neuronal Network (CNN) that estimates scattered radiation and has been pretrained and optimized on more than 30.000 images. Grids are used to reduce scattered radiation and image blurring, but they require a higher radiation dose because unscattered radiation relevant for the final image is blocked as well. Image quality may be decreased by scattered radiation that arises from x-rays deflected while passing the human body. The overall objective of such algorithms is to improve image quality for diagnostic interpretation, and to reduce radiation dose to the patient. The development of digital radiography, which enables the use of post-processing algorithms, is important progress, especially in paediatric radiology. SimGrid offers a differentiated spectrum in image improvement for children beyond the neonatal period whereas S-Enhance especially improves visibility of foreign material and bones for all patients. Utilizing S-Enhance significantly advances the assessment of foreign material (OR = 136.111, P < 0.0001) and bones (OR = 34.917, P < 0.0001) for children of all ages and weight, whereas overall image quality decreases. ResultsĪnalysis of different radiographs showed that SimGrid significantly improves image quality for patients with a weight above 10 kg (range: 10–30 kg: odds ratio = 6.683, P < 0.0001), especially regarding the tracheobronchial system, intestinal gas, and bones. For every radiograph, patient data and exposure data were collected and analysed. ![]() Two hundred and ten radiographs from the neonatal ( n = 101, 0 to 6 months of age) and paediatric ( n = 109, 6 months to 18 years of age) intensive care units performed in daily clinical routine using a mobile digital radiography system were post-processed with one of the algorithms, anonymized and then evaluated comparatively by two experienced paediatric radiologists. ![]() The objective of this study was to evaluate the SimGrid and S-Enhance digital radiography post-processing methods for neonatology and paediatric intensive care. S-Enhance is an algorithm programmed to improve contrast visibility of foreign material. SimGrid is a grid-like software based on a Convolutional Neuronal Network that estimates the distribution and degree of scattered radiation in radiographs and thus improves image quality by simulating an anti-scatter grid. Post-processing software can be used in digital radiography to achieve higher image quality, especially in cases of scattered radiation.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |