Texture generation in compressional photoacoustic elastography
| Autor: | Mengyang Liu, J. Schmid, Otmar Scherzer, Thomas Widlak, Behrooz Zabihian, Wolfgang Drexler, Thomas Glatz |
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| Rok vydání: | 2015 |
| Předmět: |
medicine.diagnostic_test
Computer science Image quality business.industry Frequency band Ultrasound Optical flow Photoacoustic imaging in biomedicine Magnetic resonance imaging Reconstruction algorithm Conventional ultrasound Displacement (vector) Speckle pattern Optics Optical coherence tomography Photoacoustic tomography medicine Ultrasound elastography Elastography business Photoacoustic spectroscopy Fabry–Pérot interferometer Data compression |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | Elastography is implemented by applying a mechanical force to a specimen and visualizing the resulting displacement. As a basis of elastographic imaging typically ultrasound, optical coherence tomography or magnetic resonance imaging are used. Photoacoustics has not been viewed as a primary imaging modality for elastography, but only as a complementary method to enhance the contrast in ultrasound elastography. The reason is that photoacoustics is considered speckle free [3], which hinders application of speckle tracking algorithms. However, while conventional ultrasound only uses a single frequency, photoacoustics utilizes a broad frequency spectrum. We are therefore able to generate artificial texture by using a frequency band limited part of the recorded data. In this work we try to assess the applicability of this technique to photoacoustic tomography. We use Agar phantoms with predefined Young's moduli and laterally apply a 50μm static compression. Pre- and post compression data are recorded via a Fabry Perot interferometer planar sensor setup and reconstructed via a non-uniform-FFT reconstruction algorithm. A displacement vector field, between pre- and post compressed data is then determined via optical flow algorithms. While the implementation of texture generation during post processing reduces image quality overall, it turns out that it improves the detection of moving patterns and is therefore better suited for elastography. |
| Databáze: | OpenAIRE |
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