Vasan S N Swetadri, Sharma P, Ionita C N, Titus A H, Cartwright A N, Bednarek D R, Rudin S
Electrical Engineering Department, and Toshiba Stroke Research Center at University at Buffalo, The State University of New York, Buffalo, NY 14260-1920, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6192-5. doi: 10.1109/IEMBS.2011.6091529.
Fluoroscopic systems have excellent temporal resolution, but are relatively noisy. In this paper we present a recursive temporal filter with different weights (lag) for different user selected regions of interest (ROI) to assist the neurointerventionalist during an image guided catheter procedure. The filter has been implemented on a Graphics Processor (GPU), enabling its usage for fast frame rates such as during fluoroscopy. We first demonstrate the use of this GPU-implemented rapid temporal filtering technique during an endovascular image guided intervention with normal fluoroscopy. Next we demonstrate its use in combination with ROI fluoroscopy where the exposure is substantially reduced in the peripheral region outside the ROI, which is then software-matched in brightness and filtered using the differential temporal filter. This enables patient dose savings along with improved image quality.
荧光透视系统具有出色的时间分辨率，但噪声相对较大。在本文中，我们提出了一种递归时间滤波器，针对不同用户选择的感兴趣区域（ROI）具有不同权重（延迟），以在图像引导导管手术过程中协助神经介入医生。该滤波器已在图形处理器（GPU）上实现，可用于高帧率，如在荧光透视期间。我们首先展示了这种在GPU上实现的快速时间滤波技术在正常荧光透视的血管内图像引导介入手术中的应用。接下来，我们展示了其与ROI荧光透视相结合的使用情况，其中在ROI之外的周边区域曝光大幅减少，然后在亮度上进行软件匹配并使用差分时间滤波器进行滤波。这既能节省患者剂量，又能提高图像质量。
