Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri, USA.
J Biomed Opt. 2012 Jun;17(6):066016. doi: 10.1117/1.JBO.17.6.066016.
A challenge in photoacoustic tomography (PAT) brain imaging is to compensate for aberrations in the measured photoacoustic data due to their propagation through the skull. By use of information regarding the skull morphology and composition obtained from adjunct x-ray computed tomography image data, we developed a subject-specific imaging model that accounts for such aberrations. A time-reversal-based reconstruction algorithm was employed with this model for image reconstruction. The image reconstruction methodology was evaluated in experimental studies involving phantoms and monkey heads. The results establish that our reconstruction methodology can effectively compensate for skull-induced acoustic aberrations and improve image fidelity in transcranial PAT.
光声断层成像（PAT）脑成像的一个挑战是补偿由于颅骨传播而导致的测量光声数据中的像差。通过使用从附加的 X 射线计算机断层成像图像数据获得的颅骨形态和组成信息，我们开发了一种针对这种像差的特定于受试者的成像模型。该模型使用基于时间反转的重建算法进行图像重建。该图像重建方法在涉及幻影和猴头的实验研究中进行了评估。结果表明，我们的重建方法可以有效地补偿颅骨引起的声像差，并提高经颅 PAT 的图像保真度。
