Objective To observe ophthalmoscopic image characteristics of central serous chorioretinopathy (CSC). Methods Twenty-one eyes of the 18 patients diagnosed with CSC were enrolled in this study．The patients included 12 males (14 eyes) and six females (seven eyes)．The patients ages ranged from 26 to 47 years，with a mean age of (39.1plusmn;5.4) years. There were nine patients (11 eyes) with acute CSC, seven patients (seven eyes) with chronic CSC, and two patients (three eyes) with recurrent CSC. All the patients were examined using color fundus photography including infrared (IR), auto-fluorescence (AF), near infrared ray-auto-fluorescence (NIR-AF), fluorescein angiography (FA) and indocyanine green angiography (ICGA) photography. The ophthalmoscopic image characteristics of CSC were comparared. Results The circular serous retinal detachments of 21 eyes were depicted in color images of the ocular fundus, which in the IR showed the hypo-fluorescence. Ten eyes displayed mottled hyper-fluorescent spots associated with serous retinal detachments corresponding to the leakage points. The serous retinal detachments of 15 eyes in the AF images showed hypo-fluorescence, six eyes showed hyper-fluorescence. Fourteen eyes presented with hypo-or hyper-fluorescent spots corresponding to the leakage points, seven eyes presented without abnormal fluorescence corresponding to the leakage points. In addition, three eyes with acute CSC showed many scattered hyper-fluorescent spots, which showed hypo-fluorescence in the ICGA. The serous retinal detachment of 15 eyes exhibited hypo-fluorescence in the NIR-AF images, six eyes showed hyper-fluorescence. Fourteen eyes presented with hypo- or hyper-fluorescent spots corresponding to the leakage points, seven eyes presented without abnormal fluorescence corresponding to the leakage points. Twenty-one eyes in FA identified the leakage. Eight eyes showed regional choroidal delayed filling, 13 eyes exhibited regional choriocapillary dilatation during 1-5 minutes after injection of ICGA. During 1-5 minutes after injection of ICGA, six eyes showed more lesions than FA, three eyes showed obvious patchy hypo-fluorescence whereas the FA were normal. Conclusions CSC has its own characteristic fundus images in the IR, FA and NIR-A. FA is still the photographic method of choice, but ICGA can reveal lesions of the choroid in CSC. IR, FA and NIR-AF are not as good as FA and ICGA for detecting of leakage points.
Electrical impedance tomography (EIT) plays a crucial role in the monitoring of pulmonary ventilation and regional pulmonary function test. However, the inherent ill-posed nature of EIT algorithms results in significant deviations in the reconstructed conductivity obtained from voltage data contaminated with noise, making it challenging to obtain accurate distribution images of conductivity change as well as clear boundary contours. In order to enhance the image quality of EIT in lung ventilation monitoring, a novel approach integrating the EIT with deep learning algorithm was proposed. Firstly, an optimized operator was introduced to enhance the Kalman filter algorithm, and Tikhonov regularization was incorporated into the state-space expression of the algorithm to obtain the initial lung image reconstructed. Following that, the imaging outcomes were fed into a generative adversarial network model in order to reconstruct accurate lung contours. The simulation experiment results indicate that the proposed method produces pulmonary images with clear boundaries, demonstrating increased robustness against noise interference. This methodology effectively achieves a satisfactory level of visualization and holds potential significance as a reference for the diagnostic purposes of imaging modalities such as computed tomography.