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In this paper, we present a computer-aided detection (CAD) method to extract and use internal features to reduce false positive (FP) rate generated by surface-based measures on the inner colon wall in computed tomographic (CT) colonography. Firstly, a new shape description global curvature, which can provide an overall shape description of the colon wall,(More)
Electronic colon cleansing (ECC) aims to segment the colon lumen from a patient abdominal image acquired using an oral contrast agent for colonic material tagging, so that a virtual colon model can be constructed. Virtual colonoscopy (VC) provides fly-through navigation within the colon model, looking for polyps on the inner surface in a manner analogous to(More)
In this paper, we proposed a new efficient implementation for simulation of surgery planning for congenital aural atresia. We first applied a 2-level image segmentation schema to classify the inner ear structures. Based on it, several 3D texture volumes were generated and sent to graphical pipeline on a PC platform. By exploiting the texturingmapping(More)
In the paper, we present a new hardware acceleration method to speedup the ordered-subsets expectation-maximization (OS-EM) algorithm for quantitative SPECT (single photon emission computed tomography) image reconstruction with varying focal-length fan-beam (VFF) collimation. By utilizing the geometrical symmetry of VFF point-spread function (PSF),(More)
In this paper, we propose a new computer aided detection (CAD) technique to utilize both global and local shape information of the colon wall for detection of colonic polyps. Firstly, the whole colon wall is extracted by our mixture-based image segmentation method. This method uses partial volume percentages to represent the distribution of different(More)
In this paper, a method is presented for detection of colonic polyps using both morphological and texture features of the colon wall from the abdominal computed tomography (CT) images. This method consists of two steps. In the first step, suspicious patches of the colon wall are quickly identified by utilizing special local and global geometrical(More)
This paper introduces the research project of robot assisted minimally invasive neurosurgery. Using visualization technology, the system reconstructs and displays the 3D model of the patient’s inner structure in the computer. Thus the surgeons can make the surgery planning on the model in the computer. Marker registration is used to create the mapping(More)
In this paper, we propose a new technique to utilize both the morphological and the texture information of the colon wall for detection of colonic polyps. Firstly this method can quickly identify suspicious patches of the colon wall by employing special local and global geometrical information, different from other methods of utilizing local geometry only.(More)
In USA, breast cancer is a most frequent cause of deaths for women. It is important to detect the cancer in its early stage. X-ray three-dimensional (3D) mammography can provide a good image resolution and contrast However, the associated radiation is relatively high. Reduction of the soft X-ray radiation for 3D mammography has been a research focus in the(More)