Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
In this paper, we propose a new method to detect liver tumors in CT images automatically. The proposed method is composed of two steps. In the first step, tumor candidates are extracted by EM/MPM algorithm; which is used to cluster liver tissue. To cluster a dataset, EM/MPM algorithm exploits both intensity of voxels and labels of the neighboring voxels. It increases the accuracy of detection, with...
A new method about reconstructing the finite element model of artificial knee joint is presented in this article after the research on reverse engineering (RE for short). Firstly, on the basis of the prosthesis prototype, IMAGEWARE and PRO/E are used to deal with point cloud of prototype and then prosthesis model is reconstructed; secondly, based on CT of human knee joint, distal femur (DF for short)...
Median filtering is a commonly used technique in smoothing and denoising applications. Based on the vector programming model of modern commodity graphics processing units (GPUs), which directly support for minmax operations, compare and select as fundamental instructions, we implemented the branchless vectorized median (BVM) filter proposed in reference [1] using NVIDIA's compute unified device architecture...
Segmentation of liver in CT images is regarded as a challenge in image processing due to low-contrast of datasets, variety of liver shape, and its non-uniform texture; especially for abnormal cases. In this paper, we deal with normal and abnormal datasets as images containing two or more Gaussian components. We threshold a slice in a narrow band of each mode, find liver pixels based on a priori knowledge,...
A computational framework is presented for 3-D liver shape approximation and characterization in order to determine the accuracy of shape reconstruction via Spherical Harmonics expansion. Spherical Harmonics is a powerful mathematical tool for expanding the shape. But in medical domain, livers have very variation geometry, in shape, size, and volume. In this regards, we evaluated and optimized the...
Recent developments in medical imaging technology have enabled us to acquire high-resolution datasets within a few minutes. It is important for a physician to recognize three-dimensional structure of vessels prior to any vascular treatments. However, extracting this structure is not a simple image processing task. In this paper, we propose an algorithm to extract hepatic artery from CT datasets through...
Cone-beam CT (CBCT) scanners are based on volumetric tomography, using a 2D extended digital array providing an area detector [1]. Compared to traditional CT, CBCT has many advantages, such as less X-ray beam limitation, high image accuracy, rapid scan time, etc. However, in CBCT images there are always some ring artifacts that appear as rings centered on the rotation axis. Due to the data of the...
This paper describes procedures for repositioning calculations of fractured bone fragments using 3-D-computed tomography (CT), aimed at preoperative planning for computer-guided fracture reduction of the proximal femur. Fracture boundaries of the bone fragments, as ldquofracture lines (FLs),rdquo and the mirror-transformed contralateral femur shape extracted from 3-D-CT were used for repositioning...
Recently a growing interest has been seen in minimally invasive treatments with open configuration magnetic resonance (Open-MR) scanners. In this paper, we proposed a semi-automatic non-rigid 3D MR-CT image registration technique for MR-Guided Liver Cancer Surgery in which cancer tissues are coagulated by microwave ablation. Because of the lower magnetic field (0.5 T) and various different surgical...
It is important to enhance and detect nodules in CT images in order to identify the lung cancer at early stage. Nodules which are included in medical image generally have multiple size and scale, and have blob-like structure. Recently, 3D multiscale filter approach is proposed for lung nodules detection. However, the 3D method take too much computing time to be applicable in real diagnose systems...
CT (computed tomography) is a powerful technique for obtaining a volume image in medicine. It has also been applied to many other research fields, such as defect detection in industry and nuclear physics. Since in many applications, the viewing directions are limited, we have to reconstruct a image from a few limited number of projections. In this paper, we propose a new robust CT image reconstruction...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.