Use of CNR as a Metric for Optimisation in Digital Radiology

2009 ◽  
pp. 296-299 ◽  
Author(s):  
N. Oberhofer ◽  
G. Compagnone ◽  
E. Moroder
Keyword(s):  
Digital Radiology

scholarly journals Lessons from the COVID-19 Pandemic on the Use of Artificial Intelligence in Digital Radiology: The Submission of a Survey to Investigate the Opinion of Insiders

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 331
Author(s):  
Daniele Giansanti ◽  
Ivano Rossi ◽  
Lisa Monoscalco
Keyword(s):  
Artificial Intelligence ◽  
General Purpose ◽  
Point Of View ◽  
General Point ◽  
Thoracic Radiography ◽  
Digital Radiology ◽  
Electronic Survey ◽  
Radiology Technicians ◽  
Medical Radiology ◽  
Great Development

The development of artificial intelligence (AI) during the COVID-19 pandemic is there for all to see, and has undoubtedly mainly concerned the activities of digital radiology. Nevertheless, the strong perception in the research and clinical application environment is that AI in radiology is like a hammer in search of a nail. Notable developments and opportunities do not seem to be combined, now, in the time of the COVID-19 pandemic, with a stable, effective, and concrete use in clinical routine; the use of AI often seems limited to use in research applications. This study considers the future perceived integration of AI with digital radiology after the COVID-19 pandemic and proposes a methodology that, by means of a wide interaction of the involved actors, allows a positioning exercise for acceptance evaluation using a general purpose electronic survey. The methodology was tested on a first category of professionals, the medical radiology technicians (MRT), and allowed to (i) collect their impressions on the issue in a structured way, and (ii) collect their suggestions and their comments in order to create a specific tool for this professional figure to be used in scientific societies. This study is useful for the stakeholders in the field, and yielded several noteworthy observations, among them (iii) the perception of great development in thoracic radiography and CT, but a loss of opportunity in integration with non-radiological technologies; (iv) the belief that it is appropriate to invest in training and infrastructure dedicated to AI; and (v) the widespread idea that AI can become a strong complementary tool to human activity. From a general point of view, the study is a clear invitation to face the last yard of AI in digital radiology, a last yard that depends a lot on the opinion and the ability to accept these technologies by the operators of digital radiology.

scholarly journals The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?

Healthcare ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 30
Author(s):  
Daniele Giansanti
Keyword(s):  
Artificial Intelligence ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Mobile Health ◽  
Digital Pathology ◽  
Digital Radiology ◽  
Cellular Diagnostics ◽  
Information And Communication ◽  
Electronic Health ◽  
New Applications

Thanks to the incredible changes promoted by Information and Communication Technology (ICT) conveyed today by electronic-health (eHealth) and mobile-health (mHealth), many new applications of both organ and cellular diagnostics are now possible [...]

scholarly journals Coping with PACS downtime in digital radiology

2000 ◽  
Vol 13 (3) ◽  
pp. 136-142 ◽  
Author(s):  
Mike McBiles ◽  
Anna K. Chacko
Keyword(s):  
Digital Radiology

Digital Radiology Facts and Fictions

1993 ◽  
Vol 124 (12) ◽  
pp. 39-47 ◽  
Author(s):  
Stanley M. Dunn ◽  
Mel L. Kantor
Keyword(s):  
Digital Radiology

scholarly journals A radiological evaluation of alveolar bone regeneration between the left and right mandibles and maxillae of the Chacma baboon

2016 ◽  
Vol 87 (1) ◽  
Author(s):  
Marthinus J. Kotze ◽  
Kurt-W. Bütow ◽  
Steve A. Olorunju ◽  
Harry F. Kotze
Keyword(s):  
Healing Rate ◽  
Alveolar Bone ◽  
Sufficient Information ◽  
Digital Radiology ◽  
Grey Scale ◽  
Lack Of Information ◽  
Significant Difference ◽  
Left And Right ◽  
Maxilla And Mandible ◽  
The Right

There is a lack of information in comparing the healing rate between the left and right sides of the maxilla and mandible. Osteogenesis of alveolar bone was evaluated with digital radiology by comparing differences in bone density (BD) at different time points within the left and right maxilla and mandible. Alveolar bone defects were created in five healthy Chacma baboons. Standardised x-ray images were acquired over time and the densities of the selected trauma areas were measured pre-operatively, post-operatively and at 3 and 6 weeks post-operatively. Differences in densities were statistically tested. There was no significant difference when the grey scale averages of the combined first and fourth quadrants (right side) and combined second and third quadrants (left side) were compared pre-operatively (t = 0.70), immediately post-operatively (t = 0.34), 3 weeks post-operatively (t = 0.40) and 6 weeks post-operatively (t = 0.66). There was also no significant difference between the values for the first and second quadrants (maxilla) pre-operatively (t = 0.37), immediately post-operatively (t = 0.30), 3 weeks post-operatively (t = 0.30) and 6 weeks post-operatively (t = 0.38); the third and fourth quadrants (mandible) were also not significantly different pre-operatively (t = 0.29), immediately post-operatively (t = 0.69), 3 weeks post-operatively (t = 0.07) and 6 weeks postoperatively (t = 0.06). However, the results showed an increased predisposition of the right side to regenerate faster than the left side and indicated sufficient information to investigate the effect of laterality and preferred side of mastication on the rate of healing and alveolar BD in the maxilla and mandible.

scholarly journals Comparison of Spatial Photogrammetry and Digital Radiology

2018 ◽  
Vol 12 (10) ◽  
pp. 178
Author(s):  
Jacek Wilczyński ◽  
Natalia Habik ◽  
Katarzyna Bieniek ◽  
Sylwia Janecka ◽  
Przemysław Karolak ◽  
...  
Keyword(s):  
Digital Radiography ◽  
Body Posture ◽  
Spinal Curvature ◽  
Ray Method ◽  
Digital Radiology ◽  
Screening Analysis ◽  
X Ray ◽  
Significant Relationships ◽  
Complementary Role ◽  
Proper Diagnosis

Proper diagnosis is a basis in the treatment of scoliotic posture and scoliosis. The aim of the study was to compare Moiré's spatial photogrammetry and Exhibeon digital radiology in the assessment of the primary curvature of the spine. The study involved 28 girls aged 7-18 years with scoliotic posture and scoliosis. Body posture as well as the spine were examined using Moiré’s spatial photogrammetry and the Exhibeon digital radiography method. Multiple regression analysis showed a significant but low correlation between the angle of primary curvature determined by the Moiré method and one determined using the X-ray method. Screening analysis of variance showed significant relationships between the primary spinal curvature determined by X-ray with the age of the subjects. The Cobb angle increased with the age of subjects. There was no such relationship between the primary curvature angle of the spine determined by the Moiré method and the age of the subjects. The obtained results indicate a moderate convergence of the primary spinal curvature variables assessed using the Moiré spatial photogrammetry method and Exhibeon digital radiography. X-ray examination is considered to be more reliable and credible. The examination of body posture and spine using Moiré’s spatial photogrammetry should play a screening and complementary role.

A stitch in time: stitching errors in digital radiology

2017 ◽  
Vol 207 (5) ◽  
pp. 224-224 ◽  
Author(s):  
Clare Faurie ◽  
Nicole Williams ◽  
Peter J Cundy
Keyword(s):  
Digital Radiology ◽  
Stitching Errors
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