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27 March 2009A novel multiscale topo-morphometric approach for separating arteries and veins via pulmonary CT imaging

Punam K. Saha, Zhiyun Gao,Sara Alford, Milan Sonka M.D., Eric Hoffman

Punam K. Saha,¹ Zhiyun Gao,¹ Sara Alford,¹ Milan Sonka M.D.,¹ Eric Hoffman¹

¹Univ. of Iowa (United States)

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 725910 (2009)https://doi.org/10.1117/12.811339
Event:SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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Abstract

Distinguishing arterial and venous trees in pulmonary multiple-detector X-ray computed tomography (MDCT) images(contrast-enhanced or unenhanced) is a critical first step in the quantification of vascular geometry for purposes ofdetermining, for instance, pulmonary hypertension, using vascular dimensions as a comparator for assessment of airwaysize, detection of pulmonary emboli and more. Here, a novel method is reported for separating arteries and veins inMDCT pulmonary images. Arteries and veins are modeled as two iso-intensity objects closely entwined with each otherat different locations at various scales. The method starts with two sets of seeds -- one for arteries and another for veins.Initialized with seeds, arteries and veins grow iteratively while maintaining their spatial separation and eventuallyforming two disjoint objects at convergence. The method combines fuzzy distance transform, a morphologic feature,with a topologic connectivity property to iteratively separate finer and finer details starting at a large scale andprogressing towards smaller scales. The method has been validated in mathematically generated tubular objects withdifferent levels of fuzziness, scale and noise. Also, it has been successfully applied to clinical CT pulmonary data. Theaccuracy of the method has been quantitatively evaluated by comparing its results with manual outlining. For arteries,the method has yielded correctness of 81.7% at the cost of 6.7% false positives and 11.6% false negatives. Our method isvery promising for automated separation of arteries and veins in MDCT pulmonary images even when there is no markof intensity variation at conjoining locations.

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Punam K. Saha,Zhiyun Gao,Sara Alford,Milan Sonka M.D., andEric Hoffman"A novel multiscale topo-morphometric approach for separating arteries and veins via pulmonary CT imaging", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725910 (27 March 2009);https://doi.org/10.1117/12.811339

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