Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images

Xiaofeng Yang, Pegah Ghafourian, Puneet Sharma, Khalil Salman, Diego Martin, Baowei Fei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2012
Subtitle of host publicationImage Processing
StatePublished - 2012
EventMedical Imaging 2012: Image Processing - San Diego, CA, United States
Duration: Feb 6 2012Feb 9 2012

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


OtherMedical Imaging 2012: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA


  • Dynamic contrast enhanced (DCE) MRI
  • Image classification
  • Kidney
  • Non-rigid image registration

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging
  • Biomaterials


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