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Measuring Microcirculation Using Spatiotemporal Image Analysis

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  1. Chapter and Conference Paper

    Robust Brain Registration Using Adaptive Probabilistic Atlas

    Elastic image registration is widely used to adapt brain images to a common template space, and, in complementary fashion, to adapt an anatomical template to a subject’s anatomy. Although HAMMER is a very accu...

    Jaime Ide, Rong Chen, Dinggang Shen in Medical Image Computing and Computer-Assis… (2008)

  2. Chapter and Conference Paper

    Automatic Determination of Arterial Input Function for Dynamic Contrast Enhanced MRI in Tumor Assessment

    Dynamic Contrast Enhanced MRI (DCE-MRI) is today one of the most popular methods for tumor assessment. Several pharmacokinetic models have been proposed to analyze DCE-MRI. Most of them depend on an accurate a...

    Jeremy Chen, Jianhua Yao, David Thomasson in Medical Image Computing and Computer-Assis… (2008)

  3. Chapter and Conference Paper

    Fast Motion Tracking of Tagged MRI Using Angle-Preserving Meshless Registration

    Fast tracking of motion is the key step towards tagged MRI-based quantitative cardiac analysis. Existing motion tracking approaches, including the widely used HARP method, are either time consuming or qualitat...

    Ting Chen, **aoxu Wang, Dimitris Metaxas in Medical Image Computing and Computer-Assis… (2008)

  4. Chapter and Conference Paper

    A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy

    A constrained non-rigid registration (CNRR) algorithm for use in updating prostate external beam image-guided radiotherapy treatment plans is presented in this paper. The developed algorithm is based on a mult...

    William H. Greene, Sudhakar Chelikani in Medical Image Computing and Computer-Assis… (2008)

  5. Chapter and Conference Paper

    Real-Time Nonlinear FEM with Neural Network for Simulating Soft Organ Model Deformation

    This paper presents a new method for simulating the deformation of organ models by using a neural network. The proposed method is based on the idea proposed by Chen et al. [2] that a deformed model can be esti...

    Ken’ichi Morooka, **an Chen, Ryo Kurazume in Medical Image Computing and Computer-Assis… (2008)

  6. Chapter and Conference Paper

    LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models

    We propose a novel meshless deformable model for in vivo Left Ventricle (LV) 3D motion estimation and analysis based on tagged MRI (tMRI). The meshless deformable model can capture global deformations such as con...

    **aoxu Wang, Ting Chen, Shaoting Zhang in Medical Image Computing and Computer-Assis… (2008)