Abstract

The aim of this project is to build a new very high spatial resolution, rapid frame rate region of interest (ROI) x-ray detector system, the micro-angiographic fluoroscope (MAF) and to use it for guiding and evaluating new stents used for flow modification in the treatment of intracranial aneurysms. The detector due to its large adjustable gain will be capable of acquiring 30 fps at both fluoroscopic exposures in the fractional microR and higher range as well as at angiographic exposures in the mR range. The detector will have adjustable pixel size and be capable of pixel sizes less than 50 mu/m and will have high-contrast spatial resolution greater than 10 lp/mm while operating at typical angiographic kVp's. The MAF will have a viewing field of at least 5 cm diameter sufficient for viewing small regions where interventions and in particular flow modifying interventions are occurring. The MAF will be compatible with existing commercial angiographic x-ray sources and be mounted in such a way as to be interposed between the x-ray image intensifier, X/I, of the commercial system and the phantom, animal, or patient so that the MAF can be used when its high resolution ROI capabilities are needed, usually at critical times during interventional procedures. Additionally, the MAF will be used for cone-beam rotational microangiography and micro-computed tomography (CT) for determining vessel lumens needed for accurate flow assessment. Also, the new imaging capability for accurate localization will allow the development and implementation of new devices: asymmetric, variable porosity stents for treatment of cerebral aneurysms by modifying aneurysm blood flow characteristics. To optimize the new stent design, flow reduction in aneurysms needed to induce thrombosis will be explored. Also details of flow and flow modification will be investigated using advanced theoretical and experimental methods. Finally clinical application of the high-resolution microfluoroscopic detector will be used to evaluate the use of stents for flow modification in the cerebrovasculature of human patients.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB002873-05
Application #
7275263
Study Section
Special Emphasis Panel (ZRG1-SRB (53))
Program Officer
Haller, John W
Project Start
2003-09-20
Project End
2010-07-31
Budget Start
2007-08-01
Budget End
2010-07-31
Support Year
5
Fiscal Year
2007
Total Cost
$608,089
Indirect Cost

  Institution

Name
State University of New York at Buffalo
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
038633251
City
Buffalo
State
NY
Country
United States
Zip Code
14260

  Publications

Kilian-Meneghin, J; Xiong, Z; Guo, C et al. (2018) Evaluation of Methods of Displaying the Real-Time Scattered Radiation Distribution during Fluoroscopically-Guided Interventions for Staff Dose Reduction. Proc SPIE Int Soc Opt Eng 10573:
Podgorsak, A R; Venkataraman, A C; Nagesh, S V Setlur et al. (2018) Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector. Proc SPIE Int Soc Opt Eng 10578:
Shankar, A; Krebs, J; Bednarek, D R et al. (2018) Spectroscopy with a CdTe-based photon-counting imaging detector (PCD) having charge sharing correction capability. Proc SPIE Int Soc Opt Eng 10573:
Nagesh, S V Setlur; Hinaman, J; Sommer, K et al. (2018) A simulation platform using 3D printed neurovascular phantoms for clinical utility evaluation of new imaging technologies. Proc SPIE Int Soc Opt Eng 10578:
Xiong, Zhenyu; Vijayan, Sarath; Guo, Chao et al. (2018) Investigation of organ dose variation with adult head size and pediatric age for neuro-interventional projections. Proc SPIE Int Soc Opt Eng 10573:
Krebs, J; Shankar, A; Bednarek, D R et al. (2018) Gantry rotational motion-induced blur in cone-beam computed tomography. Proc SPIE Int Soc Opt Eng 10573:
Sommer, Kelsey N; Shepard, Lauren; Karkhanis, Nitant Vivek et al. (2018) 3D Printed Cardiovascular Patient Specific Phantoms Used for Clinical Validation of a CT-derived FFR Diagnostic Software. Proc SPIE Int Soc Opt Eng 10578:
Guo, Chao; Xiong, Zhenyu; Vijayan, Sarath et al. (2018) Developing a database of 3-D scattered radiation distributions for a c-arm fluoroscope as a function of exposure parameters and phantom. Proc SPIE Int Soc Opt Eng 10573:
Shankar, A; Krebs, J; Bednarek, D R et al. (2018) Evaluation of a new photon-counting imaging detector (PCD) with various acquisition modes. Proc SPIE Int Soc Opt Eng 10573:
Nagesh, S V Setlur; Rana, R; Bednarek, D R et al. (2018) Anti-scatter grid artifact elimination for high-resolution x-ray imaging detectors without a prior scatter distribution profile. Proc SPIE Int Soc Opt Eng 10573:

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