SummationofDSAseries-post-processingalgorithms详解.PDFVIP

IOP PUBLISHING PHYSICS IN MEDICINE AND BIOLOGY Phys. Med. Biol. 56 (2011) 1791–1802 doi:10.1088/0031-9155/56/6/017 Classification-based summation of cerebral digital subtraction angiography series for image post-processing algorithms 1,2 1,2 ,3,4 3 1,3 D Schuldhaus , M Spiegel , T Redel , M Polyanskaya , T Struffert2, J Hornegger1,4 and A Doerfler2 1 Pattern Recognition Lab, University Erlangen-Nuremberg, Germany 2 Department of Neuroradiology, University Erlangen-Nuremberg, Germany 3 Siemens AG Healthcare Sector, Forchheim, Germany 4 Erlangen Graduate School in Advanced Optical Technologies, SAOT, Germany E-mail: martin.spiegel@informatik.uni-erlangen.de Received 21 November 2010, in final form 10 January 2011 Published 23 February 2011 Online at stacks.iop.org/PMB/56/1791 Abstract X-ray-based 2D digital subtraction angiography (DSA) plays a major role in the diagnosis, treatment planning and assessment of cerebrovascular disease, i.e. aneurysms, arteriovenous malformations and intracranial stenosis. DSA information is increasingly used for secondary image post-processing such as vessel segmentation, registration and comparison to hemodynamic calculation using computational fluid dynamics. Depending on the amount of injected contrast agent and the duration of injection, these DSA series may not exhibit one single DSA image showing the entire vessel tree. The interesting