Accounting for speed of sound variations in volumetric hand-held optoacoustic imaging  

作　　者：X. Luis DEAN-BEN Ali OZBEK Daniel RAZANSKY 

机构地区：[1]Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum Miinchen, Neuherberg, Germany [2]School of Medicine and School of Bioengineering, Technical University of Munich, Munich, Germany

出　　处：《Frontiers of Optoelectronics》2017年第3期280-286,共7页光电子前沿（英文版）

摘　　要：Hand-held implementations of recently intro- duced real-time volumetric tomography approaches repre- sent a promising path toward clinical translation of the optoacoustic technology. To this end, rapid acquisition of optoacoustic image data with spherical matrix arrays has attained exquisite visualizations of three-dimensional vascular morphology and function deep in human tissues. Nevertheless, significant reconstruction inaccuracies may arise from speed of sound （SOS） mismatches between the imaged tissue and the coupling medium used to propagate the generated optoacoustic responses toward the ultra- sound sensing elements. Herein, we analyze the effects of SoS variations in three-dimensional hand-held tomo- graphic acquisition geometries. An efficient graphics processing unit （GPU）-based reconstruction framework is further proposed to mitigate the SoS-related image quality degradation without compromising the high-frame-rate volumetric imaging performance of the method, essential for real-time visualization during hand-held scans.Hand-held implementations of recently intro- duced real-time volumetric tomography approaches repre- sent a promising path toward clinical translation of the optoacoustic technology. To this end, rapid acquisition of optoacoustic image data with spherical matrix arrays has attained exquisite visualizations of three-dimensional vascular morphology and function deep in human tissues. Nevertheless, significant reconstruction inaccuracies may arise from speed of sound （SOS） mismatches between the imaged tissue and the coupling medium used to propagate the generated optoacoustic responses toward the ultra- sound sensing elements. Herein, we analyze the effects of SoS variations in three-dimensional hand-held tomo- graphic acquisition geometries. An efficient graphics processing unit （GPU）-based reconstruction framework is further proposed to mitigate the SoS-related image quality degradation without compromising the high-frame-rate volumetric imaging performance of the method, essential for real-time visualization during hand-held scans.

关 键 词：speed of sound （SOS） graphics processingunit （GPU） 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TN65[自动化与计算机技术—计算机科学与技术]