Peripheral Vessel Investigation For Routine Clinical Use

Abstract of the Paper:

This paper is about computed tomography angiography based vessel exploration. Large image sequences of the lower extremities are investigated in a clinical environment. Two different approaches for peripheral vessel diagnosis dealing with stenosis and calcification detection are introduced. The paper presents an automated vessel-tracking tool for curved planar reformation. A user interactive segmentation tool for bone removal is proposed.

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Images and Animations

Figures in the paper

	Figure 1 : Different arterial diseases: Stenosis (a), Occlusion caused by calcification (b) and Calcification (c).
	Figure 2 : Left: Vessel centerline (3D curve). Right: Curved plane in 3D space.
	Figure 3 : User-defined starting point (top) and endpoints (bottom) (a), path generation process (b) and calculated centered paths (c).
	Figure 4 : Coronar CPR (left side) and sagittal CPR (right side) of anterior tibial artery from the dataset in figure 3.
	Figure 5 : A MIP of a segmented dataset on the right side and a MIP of the corresponding dataset on the left side.
	Figure 6 : Evaluation of the results at the AKH-Wien.
	Figure 7 : A sample dataset with heavy calcification. The MIP of the original dataset (left) and the segmented dataset (right) is presented in this figure.
	Figure 8 : Computed paths with a CPR corresponding one of the paths.
	Figure 9 : Non-photorealistic direct volume rendered images of the sample dataset. Calcifications and arteries are colored white and red. The outline of the body is visualized as guidance for the surgeon.