Iterative reconstruction and deep learning algorithms for enabling low-dose computed tomography in midfacial trauma
| Autor: | Joep Kraeima, Romke Rozema, Peter M. A. van Ooijen, Herbert T. Kruitbosch, Baucke van Minnen, Bart Dorgelo |
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| Přispěvatelé: | Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Image quality
Iterative reconstruction Signal-To-Noise Ratio Radiation Dosage Pathology and Forensic Medicine Reduction (complexity) 03 medical and health sciences 0302 clinical medicine Signal-to-noise ratio Deep Learning Computer-Assisted Region of interest Image noise Medicine Humans Radiology Nuclear Medicine and imaging Dentistry (miscellaneous) Tomography business.industry Deep learning Radiographic Image Interpretation 030206 dentistry X-Ray Computed Data set 030220 oncology & carcinogenesis Radiographic Image Interpretation Computer-Assisted Surgery Artificial intelligence Oral Surgery Tomography X-Ray Computed business Algorithm Algorithms |
| Zdroj: | Oral surgery oral medicine oral pathology oral radiology, 132(2), 247-254. ELSEVIER SCIENCE INC |
| ISSN: | 2212-4403 |
| Popis: | OBJECTIVES: The objective of this study was to quantitatively assess the image quality of Advanced Modeled Iterative Reconstruction (ADMIRE) and the PixelShine (PS) deep learning algorithm for the optimization of low-dose computed tomography protocols in midfacial trauma.STUDY DESIGN: Six fresh frozen human cadaver head specimens were scanned by computed tomography using both standard and low-dose scan protocols. Three iterative reconstruction strengths were applied to reconstruct bone and soft tissue data sets and these were subsequently applied to the PS algorithm. Signal-to-noise ratios (SNRs) and contrast-to-noise ratios (CNRs) were calculated for each data set by using the image noise measurements of 10 consecutive image slices from a standardized region of interest template.RESULTS: The low-dose scan protocol resulted in a 61.7% decrease in the radiation dose. Radiation dose reduction significantly reduced, and iterative reconstruction and the deep learning algorithm significantly improved, the CNR for bone and soft tissue data sets. The algorithms improved image quality after substantial dose reduction. The greatest improvement in SNRs and CNRs was found using the iterative reconstruction algorithm.CONCLUSION: Both the ADMIRE and PS algorithms significantly improved image quality after substantial radiation dose reduction. |
| Databáze: | OpenAIRE |
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