title: Nonrigid Registration and Classification of the Kidneys in 3D Dynamic Contrast Enhanced (DCE) MR Images.
abstract: 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.
authors.affiliation: Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA.
authors.forename: Xiaofeng
authors.initials: X
authors.lastname: Yang
authors.forename: Pegah
authors.initials: P
authors.lastname: Ghafourian
authors.forename: Puneet
authors.initials: P
authors.lastname: Sharma
authors.forename: Khalil
authors.initials: K
authors.lastname: Salman
authors.forename: Diego
authors.initials: D
authors.lastname: Martin
authors.forename: Baowei
authors.initials: B
authors.lastname: Fei