TY - GEN
T1 - Statistical signal processing for quantitative assessment of pulsed terahertz imaging of human breast tumors
AU - Bowman, Tyler
AU - Chavez, Tanny
AU - Khan, Kamrul
AU - Chakraborty, Avishek
AU - Wu, Jingxian
AU - Bailey, Keith
AU - El-Shenawee, Magda
N1 - ACKNOWLEDGMENTS Funded in part by NSF/ECCS award #1408007, NSF/DGE award #1450079, and NIH award # R15CA208798. The pulsed THz system was funded by NSF/MRI award #1228958.
PY - 2017/10/12
Y1 - 2017/10/12
N2 - This paper presents utilization of pulsed terahertz imaging to detect and assess the margins of excised human breast tumors. The freshly excised bulk tissue and the block of the same tissue fixed in formalin and embedded in paraffin (FFPE) are scanned using the reflection imaging module. The results show that while the THz images of block tissue demonstrate strong contrast between cancerous and fibroglandular (normal) regions, the contrast is less strong in the images of freshly excised bulk tissue. This could be due to remains of blood and presence of air bubbles in the specimen. To validate the THz images, we develop signal processing and statistical data analysis techniques based on image morphing and Bayesian modeling. The results are quantified in the form of receiver operating characteristic (ROC) curves.
AB - This paper presents utilization of pulsed terahertz imaging to detect and assess the margins of excised human breast tumors. The freshly excised bulk tissue and the block of the same tissue fixed in formalin and embedded in paraffin (FFPE) are scanned using the reflection imaging module. The results show that while the THz images of block tissue demonstrate strong contrast between cancerous and fibroglandular (normal) regions, the contrast is less strong in the images of freshly excised bulk tissue. This could be due to remains of blood and presence of air bubbles in the specimen. To validate the THz images, we develop signal processing and statistical data analysis techniques based on image morphing and Bayesian modeling. The results are quantified in the form of receiver operating characteristic (ROC) curves.
UR - https://www.scopus.com/pages/publications/85033680594
UR - https://www.scopus.com/pages/publications/85033680594#tab=citedBy
U2 - 10.1109/IRMMW-THz.2017.8067265
DO - 10.1109/IRMMW-THz.2017.8067265
M3 - Conference contribution
AN - SCOPUS:85033680594
T3 - International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz
BT - 2017 42nd International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2017
PB - IEEE Computer Society
T2 - 42nd International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2017
Y2 - 27 August 2017 through 1 September 2017
ER -