Advanced Automated Gain Adjustments for In-Vivo Ultrasound Imaging
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Advanced Automated Gain Adjustments for In-Vivo Ultrasound Imaging. / Moshavegh, Ramin; Hemmsen, Martin Christian; Martins, Bo; Hansen, Kristoffer Lindskov; Ewertsen, Caroline; Brandt, Andreas Hjelm; Bechsgaard, Thor; Nielsen, Michael Bachmann; Jensen, Jorgen Arendt.
2015 IEEE International Ultrasonics Symposium, IUS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7329184.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Advanced Automated Gain Adjustments for In-Vivo Ultrasound Imaging
AU - Moshavegh, Ramin
AU - Hemmsen, Martin Christian
AU - Martins, Bo
AU - Hansen, Kristoffer Lindskov
AU - Ewertsen, Caroline
AU - Brandt, Andreas Hjelm
AU - Bechsgaard, Thor
AU - Nielsen, Michael Bachmann
AU - Jensen, Jorgen Arendt
PY - 2015/11/13
Y1 - 2015/11/13
N2 - Automatic gain adjustments are necessary on the state-of-the-art ultrasound scanners to obtain optimal scan quality, while reducing the unnecessary user interactions with the scanner. However, when large anechoic regions exist in the scan plane, the sudden and drastic variation of attenuations in the scanned media complicates the gain compensation. This paper presents an advanced and automated gain adjustment method that precisely compensate for the gains on scans and dynamically adapts to the drastic attenuation variations between different media. The proposed algorithm makes use of several ultrasonic physical estimates such as scattering strength, focus gain, acoustic attenuation, and noise level to gain a more quantitative understanding of the scanned media and to provide an intuitive adjustment of gains on the scan. The proposed algorithm was applied to a set of 45 in-vivo movie sequences each containing 50 frames. The scans are acquired using a recently commercialized BK3000 ultrasound scanner (BK Ultrasound, Denmark). Matching pairs of in-vivo sequences, unprocessed and processed with the proposed method were visualized side by side and evaluated by 4 radiologists for image quality. Wilcoxon signed-rank test was then applied to the ratings provided by radiologists. The average VAS score was highly positive 12.16 (p-value: 2.09×10-23) favoring the gain-adjusted scans with the proposed algorithm.
AB - Automatic gain adjustments are necessary on the state-of-the-art ultrasound scanners to obtain optimal scan quality, while reducing the unnecessary user interactions with the scanner. However, when large anechoic regions exist in the scan plane, the sudden and drastic variation of attenuations in the scanned media complicates the gain compensation. This paper presents an advanced and automated gain adjustment method that precisely compensate for the gains on scans and dynamically adapts to the drastic attenuation variations between different media. The proposed algorithm makes use of several ultrasonic physical estimates such as scattering strength, focus gain, acoustic attenuation, and noise level to gain a more quantitative understanding of the scanned media and to provide an intuitive adjustment of gains on the scan. The proposed algorithm was applied to a set of 45 in-vivo movie sequences each containing 50 frames. The scans are acquired using a recently commercialized BK3000 ultrasound scanner (BK Ultrasound, Denmark). Matching pairs of in-vivo sequences, unprocessed and processed with the proposed method were visualized side by side and evaluated by 4 radiologists for image quality. Wilcoxon signed-rank test was then applied to the ratings provided by radiologists. The average VAS score was highly positive 12.16 (p-value: 2.09×10-23) favoring the gain-adjusted scans with the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84962016415&partnerID=8YFLogxK
U2 - 10.1109/ULTSYM.2015.0298
DO - 10.1109/ULTSYM.2015.0298
M3 - Article in proceedings
AN - SCOPUS:84962016415
SN - 9781479981823
BT - 2015 IEEE International Ultrasonics Symposium, IUS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Ultrasonics Symposium, IUS 2015
Y2 - 21 October 2015 through 24 October 2015
ER -
ID: 162991772