Sökning: onr:"swepub:oai:lup.lub.lu.se:e63482ce-c61c-4b7b-a937-c9062a56f69e" >
Cross-correlation d...
Cross-correlation detection improves spatial delineation and enables high resolution tracking of temporal events in magnetomotive ultrasound imaging
-
- Andersson, Roger (författare)
- Skåne University Hospital
-
- Evertsson, Maria (författare)
- Lund University,Lunds universitet,Medicinskt ultraljud,Forskargrupper vid Lunds universitet,Medical ultrasound,Lund University Research Groups
-
- Cinthio, Magnus (författare)
- Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH
-
visa fler...
-
- Jansson, Tomas (författare)
- Skåne University Hospital
-
visa färre...
-
(creator_code:org_t)
- 2017
- 2017
- Engelska.
-
Ingår i: 2017 IEEE International Ultrasonics Symposium, IUS 2017. - 9781538633830
- Relaterad länk:
-
http://dx.doi.org/10...
-
visa fler...
-
https://lup.lub.lu.s...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Magnetomotive ultrasound (MM US) imaging is a method whereby superparamagnetic iron oxide nanoparticles (SPIO NP) are used as a contrast agent. By applying an external magnetic field the particles are set in motion together with their surroundings. The induced movement is detected with ultrasound, and for the case of harmonic excitation of the magnetic source, quadrature detection (lock-in plus phase gating) can recover the magnetomotive signal (doi:10.1109/TUFFC.2013.2591). Here, we propose instead the use of cross-correlation for detection, and report the potential benefits compared to the previous approach.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas