Automatic aortic vessel tree extraction and thrombus detection in multislice CT

Krishna Subramanyan; Melinda Steinmiller; Diana Sifri; Daniel Boll

doi:10.1117/12.483542

15 May 2003 Automatic aortic vessel tree extraction and thrombus detection in multislice CT

Krishna Subramanyan, Melinda Steinmiller, Diana Sifri, Daniel Boll

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.483542
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

The abdominal aorta is the most common site for an aneurysm, which may lead to hemorrhage and death, to develop. The aim of this study was to develop a semi-automated method to de-lineate the blood flow and thrombus region, subsequently detect the centerline of these vessels to make measurements necessary for stent design from computed tomograms. We developed a robust method of tracking the aortic vessel tree from a user selected seed point using series of image processing such as fast marching method to delineate the blood flow, morphological and distance transforms methods to extract centerlines, and finally by reinitializing the fast marching in a blood filled region subtracted CT volume to obtain the thrombus borders. Fifteen patients were scanned with contrast on Mx8000 CT scanner (Philips Medical Systems), with a 1.3 mm thickness, 1.0 mm slice spacing, and a stack of 512x512x380 volume data sets were reconstructed. The automated image processing took approximately 30 to 90 seconds to compute the centerline and borders of the aortic vessel tree. We compared our results with manual and 3D volume rendering methods and found automatic method is superior in accuracy of spatial localization (0.94-0.97 ANOVA K) and accuracy of diameter determination (0.88-0.98).

Citation Download Citation

Krishna Subramanyan, Melinda Steinmiller, Diana Sifri, and Daniel Boll "Automatic aortic vessel tree extraction and thrombus detection in multislice CT", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.483542

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