TY - GEN
T1 - H-Scan Format for Classification of Ultrasound Scatterers and Matched Comparison to Histology Measurements
AU - Khairalseed, Mawia
AU - Rijal, Girdhari
AU - Hoyt, Kenneth
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - H-scan imaging is a new ultrasound (US) technique used to visualize the relative size of acoustic scatterers. The purpose of this study was to evaluate the sensitivity of H-scan US imaging to scatterer size and comparison to histological sections of tumor tissue. Image data was acquired using a programmable US scanner (Vantage 256, Verasonics Inc) equipped with a 256-element L22-8v capacitive micromachined ultrasonic transducer (CMUT, Kolo Medical). To generate the H-scan US image, three parallel convolution filters were applied to the radiofrequency (RF) data sequences to measure the relative strength of the backscattered US signals. H-scan US imaging was used to image a gelatin-based heterogenous phantom and breast tumor-bearing mice (N = 4). Excised tumor tissue underwent histologic processing and the cells were segmented to compute physical size measurements at the cellular level followed by spatial correlation with H-scan US image features. The in vitro results show that there was an improvement in the contrast-to-noise ratio (CNR) of 44.1% for H-scan compared to B-scan US imaging. Preliminary animal studies revealed there was a statistically significant relationship between H-scan US and physical size measures at the cell level (R2 > 0.95, p < 0.02). Overall, this study details the first experimental evidence that H-scan US image findings are directly related to physical cell size of the underlying bulk tumor tissue.
AB - H-scan imaging is a new ultrasound (US) technique used to visualize the relative size of acoustic scatterers. The purpose of this study was to evaluate the sensitivity of H-scan US imaging to scatterer size and comparison to histological sections of tumor tissue. Image data was acquired using a programmable US scanner (Vantage 256, Verasonics Inc) equipped with a 256-element L22-8v capacitive micromachined ultrasonic transducer (CMUT, Kolo Medical). To generate the H-scan US image, three parallel convolution filters were applied to the radiofrequency (RF) data sequences to measure the relative strength of the backscattered US signals. H-scan US imaging was used to image a gelatin-based heterogenous phantom and breast tumor-bearing mice (N = 4). Excised tumor tissue underwent histologic processing and the cells were segmented to compute physical size measurements at the cellular level followed by spatial correlation with H-scan US image features. The in vitro results show that there was an improvement in the contrast-to-noise ratio (CNR) of 44.1% for H-scan compared to B-scan US imaging. Preliminary animal studies revealed there was a statistically significant relationship between H-scan US and physical size measures at the cell level (R2 > 0.95, p < 0.02). Overall, this study details the first experimental evidence that H-scan US image findings are directly related to physical cell size of the underlying bulk tumor tissue.
KW - CMUT
KW - H-scan ultrasound
KW - spatial angular compounding
KW - tissue characterization
KW - ultrasound imaging
UR - http://www.scopus.com/inward/record.url?scp=85085861653&partnerID=8YFLogxK
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U2 - 10.1109/ISBI45749.2020.9098439
DO - 10.1109/ISBI45749.2020.9098439
M3 - Conference contribution
AN - SCOPUS:85085861653
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1820
EP - 1823
BT - ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
T2 - 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
Y2 - 3 April 2020 through 7 April 2020
ER -