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10.1007/s00330-020-07629-4 http://scihub22266oqcxt.onion/10.1007/s00330-020-07629-4 33740092!7975236!33740092     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Eur+Radiol 2021 ; 31 (8): 6049-6058 Nephropedia Template TP {{tp|p=33740092|t=2021. A comparison between manual and artificial intelligence-based automatic positioning in CT imaging for COVID-19 patients |pdf=|usr=}}{{33740092}} gab.com Text A comparison between manual and artificial intelligence-based automatic positioning in CT imaging for COVID-19 patients JO: Eur Radiol http://www.kidney.de/pget.php?&tw=1&pmid=33740092 #FOAvip OBJECTIVE: To analyze and compare the imaging workflow, radiation dose, and image quality for COVID-19 patients examined using either the conventional manual positioning (MP) method or an AI-based automatic positioning (AP) method. MATERIALS AND METHODS: One hundred twenty-seven adult COVID-19 patients underwent chest CT scans on a CT scanner using the same scan protocol except with the manual positioning (MP group) for the initial scan and an AI-based automatic positioning method (AP group) for the follow-up scan. Radiation dose, patient positioning time, and off-center distance of the two groups were recorded and compared. Image noise and signal-to-noise ratio (SNR) were assessed by three experienced radiologists and were compared between the two groups. RESULTS: The AP operation was successful for all patients in the AP group and reduced the total positioning time by 28% compared with the MP group. Compared with the MP group, the AP group had significantly less patient off-center distance (AP 1.56 cm +/- 0.83 vs. MP 4.05 cm +/- 2.40, p < 0.001) and higher proportion of positioning accuracy (AP 99% vs. MP 92%), resulting in 16% radiation dose reduction (AP 6.1 mSv +/- 1.3 vs. MP 7.3 mSv +/- 1.2, p < 0.001) and 9% image noise reduction in erector spinae and lower noise and higher SNR for lesions in the pulmonary peripheral areas. CONCLUSION: The AI-based automatic positioning and centering in CT imaging is a promising new technique for reducing radiation dose and optimizing imaging workflow and image quality in imaging the chest. KEY POINTS: * The AI-based automatic positioning (AP) operation was successful for all patients in our study. * AP method reduced the total positioning time by 28% compared with the manual positioning (MP). * AP method had less patient off-center distance and higher proportion of positioning accuracy than MP method, resulting in 16% radiation dose reduction and 9% image noise reduction in erector spinae. Twit Text FOAVip A comparison between manual and artificial intelligence-based automatic positioning in CT imaging for COVID-19 patients ????Eur Radiol http://www.kidney.de/pget.php?&tw=1&pmid=33740092 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33740092 #FOAvip English Wikipedia <ref>{{Cite pmid|33740092}}</ref> A comparison between manual and artificial intelligence-based automatic positioning in CT imaging for COVID-19 patients #MMPMID33740092 Gang Y; Chen X; Li H; Wang H; Li J; Guo Y; Zeng J; Hu Q; Hu J; Xu H Eur Radiol 2021[Aug]; 31 (8): 6049-6058 PMID33740092show ga OBJECTIVE: To analyze and compare the imaging workflow, radiation dose, and image quality for COVID-19 patients examined using either the conventional manual positioning (MP) method or an AI-based automatic positioning (AP) method. MATERIALS AND METHODS: One hundred twenty-seven adult COVID-19 patients underwent chest CT scans on a CT scanner using the same scan protocol except with the manual positioning (MP group) for the initial scan and an AI-based automatic positioning method (AP group) for the follow-up scan. Radiation dose, patient positioning time, and off-center distance of the two groups were recorded and compared. Image noise and signal-to-noise ratio (SNR) were assessed by three experienced radiologists and were compared between the two groups. RESULTS: The AP operation was successful for all patients in the AP group and reduced the total positioning time by 28% compared with the MP group. Compared with the MP group, the AP group had significantly less patient off-center distance (AP 1.56 cm +/- 0.83 vs. MP 4.05 cm +/- 2.40, p < 0.001) and higher proportion of positioning accuracy (AP 99% vs. MP 92%), resulting in 16% radiation dose reduction (AP 6.1 mSv +/- 1.3 vs. MP 7.3 mSv +/- 1.2, p < 0.001) and 9% image noise reduction in erector spinae and lower noise and higher SNR for lesions in the pulmonary peripheral areas. CONCLUSION: The AI-based automatic positioning and centering in CT imaging is a promising new technique for reducing radiation dose and optimizing imaging workflow and image quality in imaging the chest. KEY POINTS: * The AI-based automatic positioning (AP) operation was successful for all patients in our study. * AP method reduced the total positioning time by 28% compared with the manual positioning (MP). * AP method had less patient off-center distance and higher proportion of positioning accuracy than MP method, resulting in 16% radiation dose reduction and 9% image noise reduction in erector spinae. |*Artificial Intelligence[MESH] |*COVID-19[MESH] |Adult[MESH] |Humans[MESH] |Radiation Dosage[MESH] |SARS-CoV-2[MESH]A comparison between manual and artificial intelligence-based automati(epmc).pdf DeepDyve Pubget Overpricing