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Implementation of material decomposition using an EMCCD and CMOS-based micro-CT system
- Source :
- Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
- Publication Year :
- 2017
- Publisher :
- SPIE, 2017.
-
Abstract
- This project assessed the effectiveness of using two different detectors to obtain dual-energy (DE) micro-CT data for the carrying out of material decomposition. A micro-CT coupled to either a complementary metal-oxide semiconductor (CMOS) or an electron multiplying CCD (EMCCD) detector was used to acquire image data of a 3D-printed phantom with channels filled with different materials. At any instance, materials such as iohexol contrast agent, water, and platinum were selected to make up the scanned object. DE micro-CT data was acquired, and slices of the scanned object were differentiated by material makeup. The success of the decomposition was assessed quantitatively through the computation of percentage normalized root-mean-square error (%NRMSE). Our results indicate a successful decomposition of iohexol for both detectors (%NRMSE values of 1.8 for EMCCD, 2.4 for CMOS), as well as platinum (%NRMSE value of 4.7). The CMOS detector performed material decomposition on air and water on average with 7 times more %NRMSE, possibly due to the decreased sensitivity of the CMOS system. Material decomposition showed the potential to differentiate between materials such as the iohexol and platinum, perhaps opening the door for its use in the neurovascular anatomical region. Work supported by Toshiba America Medical Systems, and partially supported by NIH grant 2R01EB002873.
- Subjects :
- Materials science
business.industry
Detector
Article
Imaging phantom
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Optics
CMOS
030220 oncology & carcinogenesis
Decreased Sensitivity
Decomposition (computer science)
medicine
Iohexol
business
Micro ct
Material decomposition
medicine.drug
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
- Accession number :
- edsair.doi.dedup.....73642409cc6902fd5bdccbd2008f33ce
- Full Text :
- https://doi.org/10.1117/12.2253892