Intracranial aneurysm growth quantification in CTA

Azadeh Firouzian; Rashindra Manniesing; Coert T. Metz; Stefan Klein; Birgitta K. Velthuis; Gabriel J. E. Rinkel; Aad van der Lugt; Wiro J. Niessen

doi:10.1117/12.910713

24 February 2012 Intracranial aneurysm growth quantification in CTA

Azadeh Firouzian, Rashindra Manniesing, Coert T. Metz, Stefan Klein, Birgitta K. Velthuis, Gabriel J. E. Rinkel, Aad van der Lugt, Wiro J. Niessen

Author Affiliations +

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 831448 (2012) https://doi.org/10.1117/12.910713
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Next to aneurysm size, aneurysm growth over time is an important indicator for aneurysm rupture risk. Manual assessment of aneurysm growth is a cumbersome procedure, prone to inter-observer and intra-observer variability. In clinical practice, mainly qualitative assessment and/or diameter measurement are routinely performed. In this paper a semi-automated method for quantifying aneurysm volume growth over time in CTA data is presented. The method treats a series of longitudinal images as a 4D dataset. Using a 4D groupwise non-rigid registration method, deformations with respect to the baseline scan are determined. Combined with 3D aneurysm segmentation in the baseline scan, volume change is assessed using the deformation field at the aneurysm wall. For ten patients, the results of the method are compared with reports from expert clinicians, showing that the quantitative results of the method are in line with the assessment in the radiology reports. The method is also compared to an alternative method in which the volume is segmented in each 3D scan individually, showing that the 4D groupwise registration method agrees better with manual assessment.

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Azadeh Firouzian, Rashindra Manniesing, Coert T. Metz, Stefan Klein, Birgitta K. Velthuis, Gabriel J. E. Rinkel, Aad van der Lugt, and Wiro J. Niessen "Intracranial aneurysm growth quantification in CTA", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 831448 (24 February 2012); https://doi.org/10.1117/12.910713

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KEYWORDS

Image segmentation

Rigid registration

Image registration

Radiology

3D image processing

Arteries

3D scanning

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