Paper
18 March 2015 Region-of-interest cone beam computed tomography (ROI CBCT) with a high resolution CMOS detector
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Abstract
Cone beam computed tomography (CBCT) systems with rotational gantries that have standard flat panel detectors (FPD) are widely used for the 3D rendering of vascular structures using Feldkamp cone beam reconstruction algorithms. One of the inherent limitations of these systems is limited resolution (<;3 lp/mm). There are systems available with higher resolution but their small FOV limits them to small animal imaging only. In this work, we report on region-of-interest (ROI) CBCT with a high resolution CMOS detector (75 μm pixels, 600 μm HR-CsI) mounted with motorized detector changer on a commercial FPD-based C-arm angiography gantry (194 μm pixels, 600 μm HL-CsI). A cylindrical CT phantom and neuro stents were imaged with both detectors. For each detector a total of 209 images were acquired in a rotational protocol. The technique parameters chosen for the FPD by the imaging system were used for the CMOS detector. The anti-scatter grid was removed and the incident scatter was kept the same for both detectors with identical collimator settings. The FPD images were reconstructed for the 10 cm x10 cm FOV and the CMOS images were reconstructed for a 3.84 cm x 3.84 cm FOV. Although the reconstructed images from the CMOS detector demonstrated comparable contrast to the FPD images, the reconstructed 3D images of the neuro stent clearly showed that the CMOS detector improved delineation of smaller objects such as the stent struts (~70 μm) compared to the FPD. Further development and the potential for substantial clinical impact are suggested.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Jain, H. Takemoto, M. D. Silver, S. V. S. Nagesh, C. N. Ionita, D. R. Bednarek, and S. Rudin "Region-of-interest cone beam computed tomography (ROI CBCT) with a high resolution CMOS detector", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94124L (18 March 2015); https://doi.org/10.1117/12.2081450
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Cited by 7 scholarly publications.
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KEYWORDS
Sensors

CMOS sensors

Image resolution

Imaging systems

3D image reconstruction

Computed tomography

3D image processing

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