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15 March 2018 Ultra-thin spectral filter for acousto-optic imaging for medical applications (Conference Presentation)
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Imaging and identifying early metastases is, to this day, not an easy task: using MRI is expensive and ultrasound is not able to discriminate healthy and diseased tissues. Coupling ultrasound imaging to acousto-optic imaging could be a solution: the additional optical contrast would suppress the indetermination on the origin of the biological tissue. Acousto-optic imaging is a multi-wave technique which localizes light in highly scattering medium thanks to an acoustic wave: the acousto-optic effect creates frequency-shifted light, carrying local information about the insonified volume. The central challenge of acousto-optic imaging is the detection of the frequency-shifted light, because there are only very few modulated photons and they create a speckle pattern. We choose to explore the detection by spectral filtering using the spectral hole burning phenomenon in a rare earth doped crystal [1]. This filtering technique is intrinsically immune to speckle decorrelation and therefore well adapted to in vivo imaging. We use a YAG crystal doped with thulium ions under a magnetic field which increases the lifetime of the spectral hole from 10ms to more than a minute. We have undertaken a spectroscopic study to optimize the hole preparation sequence. We will present the first acousto-optic images achieved with a long-lived spectral filter in Tm:YAG, in a scattering medium. [1] Li, Y., Zhang, H., Kim, C., Wagner, K. H., Hemmer, P., & Wang, L. V. (2008). Applied Physics Letters, 93(1), 011111.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Caroline Venet, Maïmouna Bocoum, Jean-Baptiste Laudereau, Thierry Chanelière, François Ramaz, and Anne Louchet-Chauvet "Ultra-thin spectral filter for acousto-optic imaging for medical applications (Conference Presentation)", Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104941S (15 March 2018);

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