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In this paper, we propose a robust level sets method to segment vertebral bodies (VBs) in clinical computed tomography (CT) images. Since the VB and surrounding organs have very close gray level information and there are no strong edges in some CT images, the initialization of level sets method becomes very crucial step. If the object and background regions are not initialized correctly, the results...
Three dimensional (3D) pulmonary parenchyma segmentation is an indispensable step in CAD (Computer-Aided Detection) that used for pulmonary nodule detection based on CT images. In this paper, we proposed a simple and effective 3D lung parenchyma segmentation method, which combined the adaptive threshold, connected regional labeling and morphological operations. The method has four main steps. Firstly,...
In this paper, we propose a new 3D framework to identify and segment VBs and TBs in clinical computed tomography (CT) images without any user intervention. The Matched filter is employed to detect the VB region automatically on axial axis. To identify the VB on coronal and sagittal axis, we use a new developed approach based on 4 points automatically placed on cortical shell. To segment the identified...
Exposure levels (X-ray tube amperage and peak kilovoltage) are associated with various noise levels and radiation dose. When higher exposure levels are applied, the images have higher signal to noise ratio (SNR) in the CT images. However, the patient receives higher radiation dose in this case. In this paper, we use our robust 3D framework to segment vertebral bodies (VBs) in clinical computed tomography...
Three-dimensional mathematics model of the human thoracic aortic is reconstructed from CT images, and analyzed detailedly from the view points of the blood flow pressure and velocity by making use of finite element methods. Numerical results show that a pressure gradient is extremely obvious in the interface of branch aortic and aortic arch. Moreover, it is found that the blood velocity of branch...
Detection of pulmonary nodules combined of extraction by multi-directions PCA and identification by 3D (three dimension) BP neural network is presented in the paper, which is different from most lung CAD algorithms, that it does not require any a priori information by human intervention but solely the information contained by the CT image itself, and it is capable to perform full automation which...
Several tools and applications help doctors in medical area. 3D models generated by various visualization methods are currently used in disease diagnosis and treatment. During 3D model generation, several problems arise. One of the major problems of generating 3D models from consecutive 2D slices is surface construction. This study presents a surface construction method, fair tiling, which is used...
Currently there is an increase usage of CT-based bone diagnosis because low-radiation and cost-effective 2D imaging modalities do not provide the necessary 3D information for bone diagnosis. The fundamental objective of our work is to build a model connecting 2D X-ray information to 3D CT information through regression. As a first step we propose an univariate non-parametric regression on individual...
Sagittal vertebral rotation (SVR) was systematically measured for 14 normal and 14 scoliotic vertebrae in images, acquired by computed tomography (CT). Manual measurements were performed by three observers, who identified the anatomical landmarks required to evaluate SVR by six manual methods (superior and inferior tangents, anterior and posterior tangents, mid-endplate and mid-wall lines). Automated...
Vertebral compression fracture (VCF) is a disease which affects the body of vertebrae usually due to osteoporosis or trauma. Vertebroplasty is a common therapeutic procedure to treat VCF. In Vertebroplasty, bone cement is injected into the body of fractured vertebra through the hollow needle via skin path. To do this, physicians insert the needle into the body experimentally guided by medical images...
Automatic tools for the propagation of contours and surfaces in time series of CT images (4DCT) are necessary e.g. for dose calculation in radio-therapy-planning. The state of the art method is the registration of 3-D frames of the sequence on a static reference volume or the registration of consecutive volume pairs. Based on the computed vector fields, the contours and surfaces are then propagated...
The objective of this research is to develop 2D/3D registration algorithm for PET/CT and CT or MR images acquired by different systems at different times. We matched two anatomical images first (one from PET/CT and the other from standalone CT or MR) that contains affluent anatomical information. Then we geometrically transformed PET image according to the result of transformation parameters calculated...
Computer Assisted Orthopedic Surgery (CAOS) employing information and computer graphics technologies for preoperative planning, intraoperative navigation, and for guiding or performing surgical interventions, has received very little attention for bone tumor surgery applications. We have developed a CAOS system called OrthoSYS, driven by geometric reasoning algorithms to visualize tumor size, shape,...
Virtual surgery is very important for doctors to ensure the success before real surgery. By combining VTK and ITK with MFC, three-dimensional reconstruction of sequence of medical images and virtual cutting system are achieved, and a three-dimensional virtual surgery system is developed. The system offers the function such as 3-D surface rendering, 3-D volume rendering, medical volume data segmentation,...
Accurate liver segmentation on computed tomography (CT) images is a challenging task because of inter and intra- patient variations in liver shapes, similar intensity with its nearby organs. We proposed a liver segmentation method based on region growing approach. First of all, basic theory of region growing approach is introduced. Secondly, a pre-processing method using anisotropic filter and Gaussian...
Recently, many groups have reported on the occurrence of brain shift in stereotactic surgery and its impact on the procedure. A shift of deep brain structures by only a few millimeters can potentially increase the number of required microelectrode and/or macroelectrode tracks. This can cause complications and potentially affect implantation accuracy. Detecting intra-operative brain shift and, more...
Three space dimension model representation plays a key role in medical image processing, surgical plan decision, computer-aided diagnosis (CAD) and other medical activities. A three space dimension face model of biomedical visualization is proposed in the paper through two parameter image representation, which are based on these three facts: 1. three space dimension simple surface could be represented...
Pleural thickenings as biomarker of exposure to asbestos may evolve into malignant pleural mesothelioma. The diagnosis is based on a visual investigation of CT images, which is a time consuming and subjective procedure. Our image processing system identifies the pleural contours and detects pleural thickenings. In two algorithm steps, namely the detection of the thorax and the removal of air and trachea,...
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...
Computed tomography (CT) images are becoming an invaluable mean for abdominal organ investigation. In the field of medical image processing, some of the current interests are the automatic diagnosis of liver, spleen, and kidney pathologies and the 3D volume rendering of the abdominal organs. The first and fundamental step in all these studies is the automatic organs segmentation, that is still an...
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