6533b859fe1ef96bd12b788b

RESEARCH PRODUCT

Terahertz Biomedical Imaging: From Multivariate Analysis and Detection to Material Parameter Extraction

Patrick MounaixQuentin CassarHugo BalaceyJean-paul GuilletThomas ZimmerAmel Al-ibadiJ. Bou SleimanGaëtan Macgrogan

subject

[SDV.MHEP.AHA] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]Multivariate statisticsMultivariate analysis[SPI.OPTI] Engineering Sciences [physics]/Optics / PhotonicTerahertz radiationComputer science[SDV.CAN]Life Sciences [q-bio]/Cancer01 natural sciences010309 optics[SDV.CAN] Life Sciences [q-bio]/CancerComponent analysis0103 physical sciencesMedical imagingElectronic engineering[SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]Entropy (information theory)Time domainComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry0402 animal and dairy sciencePattern recognition04 agricultural and veterinary sciences040201 dairy & animal science3. Good healthFrequency domain[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

description

Terahertz imaging is an interesting route for biomedical analysis. In particular, cancer imaging is a subject of study for different teams [1,2]. A work is done in Bordeaux in partnership with a hospital to do terahertz analysis of breast tissue. This work is done in reflection with time domain imaging setup with fresh samples. The aim is to accurately assess tumor margins and which could in the future allow a quick validation of the precision of the surgical procedure and know if new surgery should be performed. We have presented in a previous paper [3] the use of automatic methods of image generation with different parameters [4] in order to explore the different contrasts that exist in the time and frequency domain data of a terahertz imaging system. These methods make it possible to locate and identify areas containing breast tissue, cancer or fat. In this communication, we propose to present new results and images with both multivariate approaches (like multivariate component analysis) and material parameter extraction to give both 2D localization and comprehensive parameter description.

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01546451