14 February 2012 Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images
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Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 83140B (2012); doi: 10.1117/12.912190
Event: SPIE Medical Imaging, 2012, San Diego, California, United States
We have applied image analysis methods in the assessment of human kidney perfusion based on 3D dynamic contrast-enhanced (DCE) MRI data. This approach consists of 3D non-rigid image registration of the kidneys and fuzzy C-mean classification of kidney tissues. The proposed registration method reduced motion artifacts in the dynamic images and improved the analysis of kidney compartments (cortex, medulla, and cavities). The dynamic intensity curves show the successive transition of the contrast agent through kidney compartments. The proposed method for motion correction and kidney compartment classification may be used to improve the validity and usefulness of further model-based pharmacokinetic analysis of kidney function.
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Xiaofeng Yang, Pegah Ghafourian, Puneet Sharma, Khalil Salman, Diego Martin, Baowei Fei, "Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83140B (14 February 2012); doi: 10.1117/12.912190; https://doi.org/10.1117/12.912190

Image registration


Magnetic resonance imaging

3D image processing

Image classification

Image fusion

Image segmentation

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