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There is no technique to do a joint analysis of Arterial Spin Labeling(ASL), Single Photon Emission Computed Tomography(SPECT) and Magnetic Resonance Imaging(MRI) image. In this paper, we propose a method to realize multi-modality image registration, enhancing fusion and features calculation of 3D volume of interest. Using mutual information registration, VTK image fusion, pseudo-color mapping, spline...
Based on shape context and wavelet transform, a new approach to select automatically the landmarks for non-rigid registration of medical brain images is proposed in this paper. First, the two magnetic resonance (MR) images to be registered are segmented, their skull boundaries and cerebrospinal fluid boundaries are extracted, then shape context is applied to get landmarks on those boundaries and establish...
In this paper we present a deformation registration technique that utilizes rigid registration for bony structures while allowing elastic transformation of soft tissue to more accurately register the entire image volume. The technique is applied to the registration of computed tomography images of the thoracic and abdominal regions. First, bony structures are segmented from the CT data. The landmarks...
This article has described the process of 3D skull simulation from 2D Postero-Anterior (PA - Frontal View) and lateral (Lateral View) x-ray images using 3D thin plate spline. Initially, the 3D template skull has been prepared with specified landmarks. Next the digital cephalometric tracing lines have been constructed on x-ray images both in lateral and PA views. The computerized cephalometric lines...
We present the Spherical Demons algorithm for registering two spherical images. By exploiting spherical vector spline interpolation theory, we show that a large class of regularizors for the modified Demons objective function can be efficiently approximated on the sphere using iterative smoothing. Based on one parameter subgroups of diffeomorphisms, the resulting registration is diffeomorphic and...
How to get high-resolution face image from low-resolution video sequence with time-saving demand is an important problem. In this paper, a new framework is described to extract high-resolution face image from video sequence. Firstly, the real-time face detection based on AdaBoost algorithm and Haar like feature is implemented. The detected face area is segmented from the background to form a face...
Perfusion magnetic resonance imaging (pMRI) is an important tool to assess tumor angiogenesis for the early detection of lung cancer. This paper presents a novel integrated framework for spatio-temporal modeling of pulmonary nodules in pMRI image sequences. After localizing a nodule region in each image, we perform segmentation in the region to extract nodule boundary, and then use thin-plate spline...
A common manifestation of osteoarthritis (OA) of the knee is the morphological degeneration of articular cartilage. In vivo magnetic resonance imaging (MRI) offers the potential to visualize and analyze quantitatively morphology such as cartilage thickness and volume. The purpose of this work was the development of new image processing techniques and application of existing ones for the intra and...
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