Jian-Kun Shen

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This paper describes results of an investigation into the internal body deformation estimation using an elastic registration technique. This registration method uses data intensity values to guide deformations, with local constraints imposed by interaction of sparsely distributed particles. The algorithm is fast, robust and offers high registration(More)
The paper describes a novel multi-resolution registration method. It is fast, robust and offers high registration accuracy. The algorithm models deformations using an elastic spring mass system, which contains sparse masses interconnected by springs. The proposed method uses data intensity values to guide deformation with local constraints imposed by(More)
The paper describes a novel deformable data registration algorithm. The proposed method can be seen as a tradeoff between the landmark and intensity driven data registration techniques. The algorithm is fast, robust and offers high registration accuracy. The algorithm enables to include complex constraints on the allowable data deformations. It is shown(More)
The paper presents a novel elastic image-matching algorithm, which is capable of treating some pre-selected parts of an image as rigid objects, while remainder of the image can be elastically deformed. The proposed method uses a spring-mass system to model deformations caused by displacement of the rigid objects and/or pre-selected feature landmarks. The(More)
The paper presents an algorithm for deformable image registration based on point features extracted from input images using the Harris corner detector. The correspondence between the points extracted from the different images is established using RANdom SAmple Consensus (RANSAC) method with the affine and perspective global transformation used to model the(More)
This paper describes results of a quantitative evaluation of a flexible spring mass system image registration technique previously proposed by the authors. The method is assessed against two well-known registration algorithms namely the Demons and the B-spline free form deformations (FFD) implemented in Insight Segmentation and Registration Toolkit (ITK).(More)
When applying 2D deformable registration to crosssectional images from 3D data, it is assumed the images represent the same object. However, in reality, they are acquired at different axial positions and with different coronal and sagittal rotations. Therefore, if the crosssection's position and orientation can be corrected, it should offer better(More)
In numerical simulation of complex ows, it is important to identify diierent length scales of the ow and treat them diierently. In this report, we i n troduce a new multilevel scheme for simulating turbulent c hannel ows. Two diierent v ersions of the scheme, namely the spectral and nite diierence versions, are presented. The spectral version of the scheme(More)
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