Title
Automatic Region Tracking for MR Glomerular Filtration Rate Analysis
Abstract
Contrast-enhanced dynamic magnetic resonance imaging (MRI) acquisition is a common method to retrieve functional information from organs in the human body. Applied to the kidney, the observation of the signal evolution in the cortex of a MR-series gives access to the renal perfusion and filtration. The glomerular filtration rate (GFR) is in particular the most useful quantitative index of renal function. Since the rapid bolus passage hampers the use of gated sequences, fast sequences have to be employed to enable a data acquisition while free-breathing. As a result, the acquired data contains motion artifacts caused by the respiratory cycle, spontaneous movements and drifts which limit quantitative analysis of the data. Although these problems can in principle be addressed with motion correction algorithms applied in a post processing step, additional challenges arise from the fact that image amplitude changes not only due to motion but also due to the contrast change during bolus passage. This study proposes a 2D region tracking method for retrospective motion correction without sacrificing temporal resolution which addresses the latter point by a preparative learning phase.
Year
DOI
Venue
2006
10.1109/ICIP.2006.312999
Atlanta, GA
Keywords
Field
DocType
biomedical MRI,biorheology,image resolution,image sequences,kidney,medical image processing,motion estimation,tracking,MR glomerular filtration rate analysis,automatic 2D region tracking method,bolus passage,contrast-enhanced dynamic magnetic resonance imaging,data acquisition,functional information retrieval,image sequences,kidney,motion correction,renal function,renal perfusion,respiratory cycle,temporal resolution,Image motion analysis,Magnetic resonance imaging
Computer vision,Renal function,Pattern recognition,Computer science,Data acquisition,Spontaneous movements,Filtration,Artificial intelligence,Motion estimation,Temporal resolution,Image resolution,Magnetic resonance imaging
Conference
ISSN
ISBN
Citations 
1522-4880
1-4244-0480-0
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Baudouin Denis de Senneville1228.12
Pascal Desbarats2104.18
Mario Ries35511.04
Chrit T. W. Moonen44712.20
N. Grenier5221.76