Faculty Of Computer Science Research Paper

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Development of interactive 3D imaging system for hepatic angiography
(IEEE, 2013) A Rashed, Essam; M Ghanem, Ahmed; Amin, Ahmad; Atia, Ayman; al-Shatouri, Mohammad; Kudo, Hiroyuki
Egypt is witnessing over the next decade many challenges in the field of healthcare, especially with regard to the spread of hepatitis and coincides with the spread of liver hepatocellular carcinoma. Because most cases of liver cancer in Egypt are detected in very late stages, the use of surgical resection, liver transplantation and percutaneous ablative therapies constitutes unsuitable therapeutic options either due to high recurrence rate or unfeasibility. Therapy sessions can be made through the introduction of chemotherapy using a catheter directly into the hepatic artery supplying the tumor guided by angiography imaging system. This method of treatment known to prevent the patient from different problems associated with surgical treatment, but it is still needs to be further improved to maximize the benefits and minimize the risks. Hepatic angiography is an x-ray study of the blood vessels that supply the liver. The procedure uses a catheter that is placed into a blood vessel through a small incision. The catheter is guided using the x-ray images obtained through the interventional session. During angiography, hepatic arterial supply is usually displayed in one, two or three projections. Mental 3D interpretation of the anatomy is not an easy task. Reaching the target supply artery by the catheter tip is mandatory to obtain satisfactory tumor response and reduce complications and recurrence. This work aims to develop an interactive 3D imaging system of hepatic angiography. The developed system uses a set of 2D images measured over few view angles to reconstruct a full 3D volume of the hepatic arteries. The problem can be thought as a combination of three main approaches. (1) Image reconstruction of 3D artery volume from few number of projections (each is presented as 2D image), (2) automatic detection of the catheter roadmap to the labeled artery which feed the tumor, and (3) interactive system to control and display images using simple gestures of the physician..
Interactive Gestures for Liver Angiography Operation
(SPRINGER, 2016) A Elmanakhly, Dina; Atia, Ayman; A Rashed, Essam; M Mostafa, Mostafa-Samy
The main challenge of creating large interactive displays in the operating rooms (ORs) is in the definition of ways that are efficient and easy to learn for the physician. Apart from traditional input methods such as mouse and keyboard, we have developed a multimodal system with two different vision based human-computer interaction (HCI) systems that can simplify the way surgeons interact with the medical images shown on the LCD display. The purpose of this work is to construct a gesture recognition system with a fast, accurate, and easily attainable method. The first system is a laser pointer interaction framework that supports a 2D stroke gesture interface. The recorded laser gestures are recognized using two different algorithms: dynamic time warping (DTW) and one dollar (1$) recognizer. Our experimental results showed that the DTW algorithm performs better with an overall accuracy of 90 %. The second prototype presents an intuitive HCI to manipulate images using freehand gestures. In order to strengthen the gesture recognition process, the system incorporates contextual information to determine the intent of the user of interacting with the large display. Two cameras are used to observe the surgeon’s hand movements to continuously determine and monitor what the surgeon intends to perform. Experimental results showed that the system accuracy is 95 % for recognition with the effect of contextual integration
Three-dimensional angiography using mobile C-arm with IMU sensor attached: Initial study
(IEEE, 2015) Moataz, Amr; Soliman, Ahmed; M Ghanem, Ahmed; al-Shatouri, Mohammad; Atia, Ayman; A Rashed, Essam
Three-dimensional (3D) computed tomography (CT) imaging is becoming an essential demand in several clinical procedures. Mobile C-arm is a useful imaging tool for image-guided interventional radiology. C-arm systems are provided with X-ray image intensifier (XRII) or flat-panel detectors. Essentially, C-arm CT systems requires scanners with flat-panel detectors for its ability to provide homogenous image quality and improve the resolution of low-contrast subjects compared to those equipped with XRII. However, C-arm systems with XRIIs are widely used in several interventional procedures. Such systems can provide a high quality two-dimensional (2D) fluoroscopic images that facilitates minimal invasive surgery. However, it is unable to provide depth information for 3D imaging due to several factors. First, the gantry of XRII-based C-arms is usually operated manually, where the rotation angle is determined using printed angle scale attached to the scanner gantry. Second, the gantry orbital rotation is normally limited to angular range less than theoretically required for exact 3D reconstruction. Third, considering the offset-scan geometry, which is common configuration in mobile C-arm with XRII, the number of rays passing through field-of-view (FOV) is limited. In this paper, we develop a 3D angiographic imaging system using commercial C-arm system equipped with XRII. First, an in-house made gantry rotation unit is developed to control the scanner orbital rotation. Second, the gantry rotation is traced using inertial measurement unit (IMU) sensor attached to the scanner gantry. Geometry information obtained from IMU sensor are used to define the gantry position in the 3D space and synchronized with detector measurements. The SCAN algorithm is used for the 3D reconstruction and achieved results are of high quality

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Browsing Faculty Of Computer Science Research Paper by Author "A Rashed, Essam"