Paper Info
Title
Kidney segmentation in MRI sequences using temporal dynamics
Abstract
We propose an energy-based image segmentation algorithm that uses the correlation information among pixels in the same image as well as the temporal correlation across the images in the sequence. We focus on MRI sequences that are extremely difficult to segment on the basis of single images. Our method detects motion-free objects whose intensities change across the image sequence. We introduce an energy functional that exploits the difference in the dynamics of the temporal signals associated with distinct pixels. We develop a level set approach and a region-growing algorithm to minimize the energy functional. Our tests in a transplantation study show that we successfully extract automatically the kidneys and their structures in magnetic resonance (MR) image sequences.
Year
DOI
Venue
2002
10.1109/ISBI.2002.1029202
ISBI
Keywords
Field
DocType
temporal dynamics,mri sequences,region-growing algorithm,level set approach,magnetic resonance image sequences,kidney segmentation,medical diagnostic imaging,motion-free objects detection,automatic extraction,energy functional minimization,distinct pixels,biomedical mri,image sequences,kidney,transplantation study,medical image processing,magnetic resonance imaging,magnetic resonance,signal and image processing,level set,pixel,image segmentation,magnetic resonance image,region growing
Computer vision,Pattern recognition,Computer science,Segmentation,Level set,Image segmentation,Correlation,Artificial intelligence,Pixel,Energy functional,Transplantation,Magnetic resonance imaging
Conference
ISBN
Citations 
PageRank 
0-7803-7584-X
8
1.43
References 
Authors
1
5
Name
Order
Citations
PageRank
Ying Sun122419.86
José M. F. Moura25137426.14
Dewen Yang3142.47
Qing Ye492.80
Chien Ho514310.73