Paper
18 March 2015 Circular tomosynthesis for neuro perfusion imaging on an interventional C-arm
Bernhard E. Claus, David A. Langan, Omar Al Assad, Xin Wang
Author Affiliations +
Abstract
There is a clinical need to improve cerebral perfusion assessment during the treatment of ischemic stroke in the interventional suite. The clinician is able to determine whether the arterial blockage was successfully opened but is unable to sufficiently assess blood flow through the parenchyma. C-arm spin acquisitions can image the cerebral blood volume (CBV) but are challenged to capture the temporal dynamics of the iodinated contrast bolus, which is required to derive, e.g., cerebral blood flow (CBF) and mean transit time (MTT). Here we propose to utilize a circular tomosynthesis acquisition on the C-arm to achieve the necessary temporal sampling of the volume at the cost of incomplete data. We address the incomplete data problem by using tools from compressed sensing and incorporate temporal interpolation to improve our temporal resolution. A CT neuro perfusion data set is utilized for generating a dynamic (4D) volumetric model from which simulated tomo projections are generated. The 4D model is also used as a ground truth reference for performance evaluation. The performance that may be achieved with the tomo acquisition and 4D reconstruction (under simulation conditions, i.e., without considering data fidelity limitations due to imaging physics and imaging chain) is evaluated. In the considered scenario, good agreement between the ground truth and the tomo reconstruction in the parenchyma was achieved.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bernhard E. Claus, David A. Langan, Omar Al Assad, and Xin Wang "Circular tomosynthesis for neuro perfusion imaging on an interventional C-arm", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94122A (18 March 2015); https://doi.org/10.1117/12.2082695
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CITATIONS
Cited by 2 scholarly publications and 2 patents.
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KEYWORDS
Reconstruction algorithms

Data modeling

Data acquisition

Temporal resolution

Computed tomography

Image quality

Imaging systems

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