
Proceedings Paper
Region-of-interest micro-angiographic fluoroscope detector used in aneurysm and artery stenosis diagnoses and treatmentFormat | Member Price | Non-Member Price |
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Paper Abstract
Due to the need for high-resolution angiographic and interventional vascular imaging, a Micro-Angiographic
Fluoroscope (MAF) detector with a Control, Acquisition, Processing, and Image Display System (CAPIDS) was
installed on a detector changer, which was attached to the C-arm of a clinical angiographic unit at a local hospital. The
MAF detector provides high-resolution, high-sensitivity, and
real-time imaging capabilities and consists of a 300 μm thick
CsI phosphor, a dual stage micro-channel plate light image intensifier (LII) coupled to a fiber optic taper (FOT),
and a scientific grade frame-transfer CCD camera, providing an image matrix of 1024×1024 35 μm effective square
pixels with 12 bit depth. The changer allows the MAF
region-of-interest (ROI) detector to be inserted in front of the
Image Intensifier (II) when higher resolution is needed during angiographic or interventional vascular imaging
procedures, e.g. endovascular stent deployment. The CAPIDS was developed and implemented using Laboratory
Virtual Instrumentation Engineering Workbench (LabVIEW) software and provides a user-friendly interface that enables
control of several clinical radiographic imaging modes of the MAF including: fluoroscopy, roadmapping, radiography,
and digital-subtraction-angiography (DSA). The total system has been used for image guidance during endovascular
image-guided interventions (EIGI) for diagnosing and treating artery stenoses and aneurysms using self-expanding
endovascular stents and coils in fifteen patient cases, which have demonstrated benefits of using the ROI detector. The
visualization of the fine detail of the endovascular devices and the vessels generally gave the clinicians confidence on
performing neurovascular interventions and in some instances contributed to improved interventions.
Paper Details
Date Published: 3 March 2012
PDF: 9 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 831317 (3 March 2012); doi: 10.1117/12.910771
Published in SPIE Proceedings Vol. 8313:
Medical Imaging 2012: Physics of Medical Imaging
Norbert J. Pelc; Robert M. Nishikawa; Bruce R. Whiting, Editor(s)
PDF: 9 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 831317 (3 March 2012); doi: 10.1117/12.910771
Show Author Affiliations
Weiyuan Wang, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Ciprian Ionita, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Ying Huang, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Bin Qu, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Ciprian Ionita, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Ying Huang, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Bin Qu, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Ashish Panse, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Amit Jain, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Daniel R. Bednarek, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Stephen Rudin, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Amit Jain, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Daniel R. Bednarek, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Stephen Rudin, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Published in SPIE Proceedings Vol. 8313:
Medical Imaging 2012: Physics of Medical Imaging
Norbert J. Pelc; Robert M. Nishikawa; Bruce R. Whiting, Editor(s)
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