Boundary segmentation based on modified random walks for vascular Doppler optical coherence tomography images

Vascular Doppler optical coherence tomography(DOCT) images with weak boundaries are usually difficult for most algorithms to segment. We propose a modified random walk(MRW) algorithm with a novel regularization for the segmentation of DOCT vessel images. Based on MRW, we perform automatic boundary detection of the vascular wall from intensity images and boundary extraction of the blood flowing region from Doppler phase images. Dice, sensitivity, and specificity coefficients were adopted to verify the segmentation performance. The experimental study on DOCT images of the mouse femoral artery showed the effectiveness of our proposed method, yielding three-dimensional visualization and quantitative evaluation of the vessel.     

基于MPPT控制的新型仿生学太阳树灯设计

根据仿生学原理,通过仿造树的结构制作一个树的支架,将太阳能电池板以45°的倾角放在树枝架上,然后通过WS-ALMPPT15控制器和12V/20Ah的铅酸蓄电池、负载(包括直流负载、交流负载)相连。实验测试表明:在产生电力方面,新型树灯在一天内的平均输出功率将比普通的平板太阳能电池板的输出功率输出高出27.3%;此外,新型树灯的输出电压、电流、功率基本上趋于一致,这些都高效地节约了电能。