Blood Pool Agent CE-MRA: Improved Arterial Visualization of the Aortoiliac Vasculature in the Steady-State Using First-Pass Data

Authors:
C. M. van Bemmel;Wiro J. Niessen;Onno Wink;B. Verdonck;Max A. Viergever
Affiliations:
-;-;-;-;-
Venue:
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Year:
2001

Citing 3
Cited 3

Muliscale Vessel Enhancement Filtering

MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Alignment by maximization of mutual information

ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Minimum Cost Path Determination Using a Simple Heuristic Function

ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3

Level-Set Based Carotid Artery Segmentation for Stenosis Grading

MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
2D Guide Wire Tracking during Endovascular Interventions

MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Assessment of carotid artery stenoses in 3D contrast-enhanced magnetic resonance angiography, based on improved generation of the centerline

Machine Graphics & Vision International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Blood pool agent (BPA) contrast-enhanced magnetic resonance angiography (CE-MRA) images have been acquired during the first-pass of the contrast agent and in the steady-state. Arterial visualization, which is hampered in the steady-state owing to simultaneous enhancement of arteries and veins, can be improved if the central arterial axis (CAA) is known. A method is presented that utilizes the first-pass data to find the CAA in the steady-state data with minimum user interaction. The accuracy of the resulting CAA is compared to tracings of two observers in three datasets. It was found that the average error of the method is 0.73 mm in the first-pass data and 1.54 mm in the steady-state data.