1. Spectral Analysis of Ultrasound Radiofrequency Backscatter for the Detection of Intercostal Blood Vessels
- Author
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Beidi Qiang, Kenneth C. Cummings, D. Geoffrey Vince, Jon D. Klingensmith, Asher Haggard, Sean DeGrande, Russell J. Fedewa, and Hesham Elsharkawy
- Subjects
Adult ,Intercostal veins ,Acoustics and Ultrasonics ,Biophysics ,Pilot Projects ,Intercostal nerves ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Reference Values ,medicine.artery ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Ultrasonography ,Radiological and Ultrasound Technology ,business.industry ,Bandwidth (signal processing) ,Ultrasound ,Spectral density estimation ,Signal Processing, Computer-Assisted ,Random forest ,Autoregressive model ,030220 oncology & carcinogenesis ,Blood Vessels ,Intercostal Nerves ,business ,Intercostal arteries ,Biomedical engineering - Abstract
Spectral analysis of ultrasound radiofrequency backscatter has the potential to identify intercostal blood vessels during ultrasound-guided placement of paravertebral nerve blocks and intercostal nerve blocks. Autoregressive models were used for spectral estimation, and bandwidth, autoregressive order and region-of-interest size were evaluated. Eight spectral parameters were calculated and used to create random forests. An autoregressive order of 10, bandwidth of 6 dB and region-of-interest size of 1.0 mm resulted in the minimum out-of-bag error. An additional random forest, using these chosen values, was created from 70% of the data and evaluated independently from the remaining 30% of data. The random forest achieved a predictive accuracy of 92% and Youden's index of 0.85. These results suggest that spectral analysis of ultrasound radiofrequency backscatter has the potential to identify intercostal blood vessels. (jokling@siue.edu) © 2018 World Federation for Ultrasound in Medicine and Biology.
- Published
- 2018
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