Brain perfusion imaging using a Reconstruction-of-Difference (RoD) approach for cone-beam computed tomography

M. Mow; W. Zbijewski; A. Sisniega; J. Xu; H. Dang; J. W. Stayman; X. Wang; D. H. Foos; V. Koliatsos; N. Aygun; J. H. Siewerdsen

doi:10.1117/12.2255690

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9 March 2017 Brain perfusion imaging using a Reconstruction-of-Difference (RoD) approach for cone-beam computed tomography

M. Mow, W. Zbijewski, A. Sisniega, J. Xu, H. Dang, J. W. Stayman, X. Wang, D. H. Foos, V. Koliatsos, N. Aygun, J. H. Siewerdsen

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Proceedings Volume 10132, Medical Imaging 2017: Physics of Medical Imaging; 1013212 (2017) https://doi.org/10.1117/12.2255690
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Purpose: To improve the timely detection and treatment of intracranial hemorrhage or ischemic stroke, recent efforts include the development of cone-beam CT (CBCT) systems for perfusion imaging and new approaches to estimate perfusion parameters despite slow rotation speeds compared to multi-detector CT (MDCT) systems. This work describes development of a brain perfusion CBCT method using a reconstruction of difference (RoD) approach to enable perfusion imaging on a newly developed CBCT head scanner prototype. Methods: A new reconstruction approach using RoD with a penalized-likelihood framework was developed to image the temporal dynamics of vascular enhancement. A digital perfusion simulation was developed to give a realistic representation of brain anatomy, artifacts, noise, scanner characteristics, and hemo-dynamic properties. This simulation includes a digital brain phantom, time-attenuation curves and noise parameters, a novel forward projection method for improved computational efficiency, and perfusion parameter calculation. Results: Our results show the feasibility of estimating perfusion parameters from a set of images reconstructed from slow scans, sparse data sets, and arc length scans as short as 60 degrees. The RoD framework significantly reduces noise and time-varying artifacts from inconsistent projections. Proper regularization and the use of overlapping reconstructed arcs can potentially further decrease bias and increase temporal resolution, respectively. Conclusions: A digital brain perfusion simulation with RoD imaging approach has been developed and supports the feasibility of using a CBCT head scanner for perfusion imaging. Future work will include testing with data acquired using a 3D-printed perfusion phantom currently and translation to preclinical and clinical studies.

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M. Mow, W. Zbijewski, A. Sisniega, J. Xu, H. Dang, J. W. Stayman, X. Wang, D. H. Foos, V. Koliatsos, N. Aygun, and J. H. Siewerdsen "Brain perfusion imaging using a Reconstruction-of-Difference (RoD) approach for cone-beam computed tomography", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013212 (9 March 2017); https://doi.org/10.1117/12.2255690

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