基于照片声学弹性成像的纹理生成
Texture Generation for Photoacoustic Elastography
AI总结：
本文探讨了如何通过使用带限测量数据生成人工斑点模式，以提高照片声学成像中形变估计的可靠性。
摘要：
本文探讨了如何通过使用带限测量数据生成人工斑点模式，以提高照片声学成像中形变估计的可靠性。
英文摘要：
Elastographic imaging is a widely used technique which can in principle be implemented on top of every imaging modality. In elastography, the specimen is exposed to a force causing local displacements in the probe, and imaging is performed before and during the displacement experiment. From the computed displacements material parameters can be deduced, which in turn can be used for clinical diagnosis. Photoacoustic imaging is an emerging image modality, which exhibits functional and morphological contrast. However, opposed to ultrasound imaging, for instance, it is considered a modality which is not suited for elastography, because it does not reveal speckle patterns. However, this is somehow counter-intuitive, because photoacoustic imaging makes available the whole frequency spectrum as opposed to single frequency standard ultrasound imaging. In this work, we show that in fact artificial speckle patterns can be introduced by using only a band-limited part of the measurement data. We also show that after introduction of artificial speckle patterns, deformation estimation can be implemented more reliably in photoacoustic imaging.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
