Automatic local effect of window/level on 3-D scale-space ellipsoidal filtering on run-off-arteries from white blood magnetic resonance angiography

Document Type

Conference Proceeding

Publication Date

12-1-2002

Abstract

Pre-filtering is a critical step in 3-D segmentation of the blood vessel and its display. This paper presents the local effect of window/level over the 3-D scale-space approach for filtering the white blood angiographic volumes and its implementation issues. The raw MR angiographie volume is first converted to an isotropic volume, and then the window/level is automatically adjusted slice by slice and a composite volume is generated. Then, 3-D edges are generated using the separable Caussian derivative convolution with known scales. The edge volume is then run by the directional processor at each voxel where the eigenvalues of the 3-D ellipsoid are computed. The vessel score per voxel is then estimated based on these three eigenvalues which suppress the non-vasculature and background structures, yielding the filtered volume. The filtered volume is ray-cast to generate the maximum intensity projection images for display. The performance of the system is evaluated by computing the mean, variance, SNR and CNR images. We compare the filtering results with and without the usage of the local effect of window/level over 3-D scale-space ellipsoidal filtering. We show that the automatic window/level is effective in detecting small vessels which are othenvise difficult to extrapolate them. The system was run over 20 patient studies from different parts of the body such as: brain, abdomen, kidney and knee/ankle. The computer program takes around 150 seconds of processing time per study for a study for a data size of 512 × 512 × 194, which includes the complete performance evaluation. © 2002 IEEE.

Identifier

33751562575 (Scopus)

Publication Title

Proceedings International Conference on Pattern Recognition

ISSN

10514651

First Page

899

Last Page

902

Issue

3

Volume

16

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