Nouizi Farouk, Erkol Hakan, Luk Alex, Unlu Mehmet B, Gulsen Gultekin
Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA, USA.
Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA, USA; Department of Physics, Bogazici University, Bebek, 34342, Istanbul, Turkey.
Biomed Opt Express. 2016 Sep 6;7(10):3899-3904. doi: 10.1364/BOE.7.003899. eCollection 2016 Oct 1.
We previously introduced a new high resolution diffuse optical imaging modality termed, photo-magnetic imaging (PMI). PMI irradiates the object under investigation with near-infrared light and monitors the variations of temperature using magnetic resonance thermometry (MRT). In this paper, we present a real-time PMI image reconstruction algorithm that uses analytic methods to solve the forward problem and assemble the Jacobian matrix much faster. The new algorithm is validated using real MRT measured temperature maps. In fact, it accelerates the reconstruction process by more than 250 times compared to a single iteration of the FEM-based algorithm, which opens the possibility for the real-time PMI.
我们之前引入了一种新的高分辨率漫射光学成像模式,称为光磁成像(PMI)。PMI用近红外光照射被研究对象,并使用磁共振测温法(MRT)监测温度变化。在本文中,我们提出了一种实时PMI图像重建算法,该算法使用解析方法来解决正向问题,并能更快地组装雅可比矩阵。新算法通过实际测量的MRT温度图进行了验证。事实上,与基于有限元法的算法单次迭代相比,它将重建过程加速了250倍以上,这为实时PMI开辟了可能性。