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pro vyhledávání: '"Ronald W. K. So"'
Autor:
Albert C. S. Chung, Ronald W. K. So
Publikováno v:
Pattern Recognition. 62:161-174
Image registration is one of the major technologies of the medical image processing and analysis. According to the nature of the transformation, image registration can be categorized into two main classes: Rigid Registration and Non-rigid Registratio
Publikováno v:
Pattern Recognition. 44:2450-2467
We present a graph-cuts based method for non-rigid medical image registration on brain magnetic resonance images. In this paper, the non-rigid medical image registration problem is reformulated as a discrete labeling problem. Based on a voxel-to-voxe
Akademický článek
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Publikováno v:
Medical physics. 40(3)
To compare the doses calculated by the Acuros XB (AXB) algorithm and analytical anisotropic algorithm (AAA) with experimentally measured data adjacent to and within heterogeneous medium using intensity modulated radiation therapy (IMRT) and RapidArc(
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 21(4)
We present an energy-minimization-based framework for locating the centerline and estimating the width of tubelike objects from their structural network with a nonparametric model. The nonparametric representation promotes simple modeling of nested b
Autor:
Ronald W. K. So, Albert C. S. Chung
Publikováno v:
ICIP
Non-rigid image registration is widely used in medical image analysis and processing. We recently proposed a novel learning-based similarity measure for non-rigid image registration. The novel similarity measure is constructed by using two Kullback-L
Autor:
Albert C. S. Chung, Ronald W. K. So
Publikováno v:
ICIP
Non-rigid image registration plays an important role in medical image analysis. Recently, Tang and Chung proposed to model the non-rigid medical image registration problem as an energy minimization framework. The optimization was done by using the gr
Autor:
Albert C. S. Chung, Ronald W. K. So
Publikováno v:
ISBI
Multi-modal non-rigid image registration is widely used in different areas, including medical image analysis and image processing. In this paper, we introduce a new learning-based method for non-rigid image registration. The proposed method is based
Publikováno v:
The MIDAS Journal.
A vessel lumen centerline extraction method is presented. Its preprocessing and initialization for the application to 3D CT angiography (CTA) image volumes are also described. This approach is based upon the theory of principal curves to finding lume
Autor:
Ronald W. K. So, Albert C. S. Chung
Publikováno v:
ICASSP
Non-rigid image registration is widely used in medical image analysis and image processing. It remains a challenging research problem due to its smoothness requirement and high degree of freedoms in the deformation process. In [1], a method is propos