DocumentCode :
1225526
Title :
Blood pool contrast-enhanced MRA: improved arterial visualization in the steady state
Author :
Van Bemmel, Cornelis M. ; Wink, Onno ; Verdonck, Bert ; Viergever, Max A. ; Niessen, Wiro J.
Author_Institution :
Image Sci. Inst., Univ. Med. Center, Utrecht, Netherlands
Volume :
22
Issue :
5
fYear :
2003
fDate :
5/1/2003 12:00:00 AM
Firstpage :
645
Lastpage :
652
Abstract :
Blood pool agents (BPAs) for contrast-enhanced magnetic resonance angiography (CE-MRA) allow prolonged imaging during the steady state when the agent is distributed through the complete vascular system. This increases both the spatial resolution and the contrast resolution. However, simultaneous venous and arterial enhancement hampers interpretation. For the pelvic region of the vasculature, it is shown that arterial visualization in this equilibrium phase can be improved if the central arterial axis (CAA) is known. However, manually obtaining this axis is not feasible in clinical practice. Therefore, a method is presented that utilizes images acquired during the first pass of the contrast agent to find the CAA in the steady-state data with minimum user initialization. The accuracy of the resulting CAA is compared with tracings of three observers in six patient datasets. It was found that the mean difference between the semiautomatic method and the manual delineation is 1.32 mm in the steady-state data, and that the resulting CAA was always within the arterial lumen, which is an important prerequisite for both improved visualization and segmentation.
Keywords :
biomedical MRI; blood vessels; image enhancement; image resolution; image segmentation; medical image processing; arterial lumen; blood pool contrast-enhanced MRA; contrast resolution; improved arterial visualization; improved visualization; magnetic resonance angiography; magnetic resonance imaging; manual delineation; medical diagnostic imaging; patient datasets; pelvic region; spatial resolution; steady state imaging; Angiography; Arteries; Biomedical imaging; Blood; Computer aided analysis; Data visualization; Extracellular; Spatial resolution; Steady-state; Veins; Algorithms; Arteries; Contrast Media; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Angiography; Pattern Recognition, Automated; Pelvis; Quality Control; Signal Processing, Computer-Assisted; Veins;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2003.812262
Filename :
1207399
Link To Document :
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