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Improved temperature measurement and modeling for 3D USCT II

Zapf, Michael; Patel, Anirudh; Menshikov, Alexander; Ruiter, Nicole V.

Abstract (englisch):
Medical visualization plays a key role in the early diagnosis and detection of symptoms related to breast cancer. However, currently doctors must struggle to extract accurate and relevant information from the 2D models on which the medical field still relies. The problem is that 2D models lack the spatial definition necessary to extract all of the information a doctor might want. In order to address this gap, we are developing a machine capable of performing ultrasound computer tomography and reconstructing 3D images of the breasts - the KIT 3D USCT II.

In order to accurately reconstruct the 3D image using ultrasound, we must first have an accurate temperature model. This is because the speed of sound varies significantly based on the temperature of the medium (in our case, water). We address this issue in three steps: so-called super-sampling, calibration, and modeling. Using these three steps, we were able to improve the accuracy of the hardware from ±1°C to just under 0.1°C.

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Verlagsausgabe §
DOI: 10.5445/IR/1000079796
Veröffentlicht am 15.02.2018
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 30.01.2018
Sprache Englisch
Identifikator ISBN: 978-3-7315-0689-8
KITopen-ID: 1000079796
HGF-Programm 54.02.02 (POF III, LK 01)
Ultraschnelle Datenauswertung
Erschienen in Proceedings of the International Workshop on Medical Ultrasound Tomography: 1.- 3. Nov. 2017, Speyer, Germany. Hrsg.: T. Hopp
Verlag KIT Scientific Publishing, Karlsruhe
Seiten 339-348
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