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Implementation of material decomposition using an EMCCD and CMOS-based micro-CT system.

Alexander R Podgorsak^1,2, Sv Setlur Nagesh², Daniel R Bednarek²

¹Department of Biomedical Engineering, University at Buffalo, NY.

Proceedings of Spie--The International Society for Optical Engineering

|June 27, 2017

Summary

Dual-energy (DE) micro-CT effectively decomposes materials using CMOS and EMCCD detectors. This technology shows promise for differentiating substances like iohexol and platinum in medical imaging.

Keywords:

Material decomposition dual-energy CT neurovascular intervention spectral CT

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Area of Science:

Medical Imaging
Materials Science
Detector Technology

Background:

Dual-energy (DE) computed tomography (CT) enables material decomposition.
Micro-CT offers high-resolution imaging for detailed analysis.
Evaluating different detector types is crucial for optimizing DE micro-CT performance.

Purpose of the Study:

To assess the effectiveness of complementary metal-oxide semiconductor (CMOS) and electron multiplying CCD (EMCCD) detectors in dual-energy (DE) micro-CT for material decomposition.
To quantitatively evaluate the accuracy of material differentiation using percentage normalized root-mean-square error (%NRMSE).

Main Methods:

Acquired DE micro-CT data using a micro-CT system equipped with either a CMOS or EMCCD detector.
Scanned a 3D-printed phantom containing materials like iohexol contrast agent, water, and platinum.
Calculated %NRMSE to quantify the success of material decomposition for each detector.

Main Results:

Both CMOS and EMCCD detectors achieved successful material decomposition for iohexol (EMCCD: 1.8% NRMSE, CMOS: 2.4% NRMSE) and platinum (4.7% NRMSE).
The CMOS detector exhibited a 7-fold higher %NRMSE for air and water decomposition compared to the EMCCD, potentially due to lower sensitivity.
Material decomposition successfully differentiated between iohexol and platinum.

Conclusions:

DE micro-CT with both CMOS and EMCCD detectors is effective for material decomposition.
Detector sensitivity impacts decomposition accuracy, particularly for low-density materials.
This technique holds potential for applications in neurovascular imaging due to its material differentiation capabilities.