Nguyen Ho Nhu Y, Steenbergen Wiendelt
Biomedical Photonic Imaging Group, Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.
Biomed Opt Express. 2020 Sep 22;11(10):5745-5759. doi: 10.1364/BOE.401375. eCollection 2020 Oct 1.
One of the remaining challenges of bringing photoacoustic imaging to clinics is the occurrence of reflection artifacts. Previously, we proposed a method using multi-wavelength excitation to identify and remove the RAs. However, this method requires at least 3 wavelengths. Here we improve the method further by reducing the required number of wavelengths to 2. We experimentally demonstrate this new method and compare it with the previous one. Results show that this new method holds great feasibility for identifying reflection artifacts in addition to preserving all advantages of the previous method.
将光声成像引入临床的现存挑战之一是反射伪影的出现。此前,我们提出了一种使用多波长激发来识别和去除反射伪影的方法。然而,该方法至少需要3个波长。在此,我们通过将所需波长数量减少到2个来进一步改进该方法。我们通过实验证明了这种新方法,并将其与之前的方法进行了比较。结果表明,这种新方法除了保留了之前方法的所有优点外,在识别反射伪影方面具有很大的可行性。