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Showing 1 to 12 of 30 entries
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Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution.

Proceedings of SPIE--the International Society for Optical Engineering

Rajendran K, Leng S, Jorgensen SM, Abdurakhimova D, Ritman EL, McCollough CH.
PMID: 28413240
Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10132. doi: 10.1117/12.2255676. Epub 2017 Mar 09.

Changes in arterial wall perfusion are an indicator of early atherosclerosis. This is characterized by an increased spatial density of vasa vasorum (VV), the micro-vessels that supply oxygen and nutrients to the arterial wall. Detection of increased VV during...

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Rajendran K, Leng S, Jorgensen SM, et al. Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution. Proc SPIE Int Soc Opt Eng. 2017;10132doi: 10.1117/12.2255676.
Rajendran, K., Leng, S., Jorgensen, S. M., Abdurakhimova, D., Ritman, E. L., & McCollough, C. H. (2017). Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution. Proceedings of SPIE--the International Society for Optical Engineering, 10132. https://doi.org/10.1117/12.2255676
Rajendran, Kishore, et al. "Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution." Proceedings of SPIE--the International Society for Optical Engineering vol. 10132 (2017). doi: https://doi.org/10.1117/12.2255676
Rajendran K, Leng S, Jorgensen SM, Abdurakhimova D, Ritman EL, McCollough CH. Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution. Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10132. doi: 10.1117/12.2255676. Epub 2017 Mar 09. PMID: 28413240; PMCID: PMC5391689.
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Initial results from a prototype whole-body photon-counting computed tomography system.

Proceedings of SPIE--the International Society for Optical Engineering

Yu Z, Leng S, Jorgensen SM, Li Z, Gutjahr R, Chen B, Duan X, Halaweish AF, Yu L, Ritman EL, McCollough CH.
PMID: 26097280
Proc SPIE Int Soc Opt Eng. 2015;9412. doi: 10.1117/12.2082739.

X-ray computed tomography (CT) with energy-discriminating capabilities presents exciting opportunities for increased dose efficiency and improved material decomposition analyses. However, due to constraints imposed by the inability of photon-counting detectors (PCD) to respond accurately at high photon flux, to...

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Yu Z, Leng S, Jorgensen SM, et al. Initial results from a prototype whole-body photon-counting computed tomography system. Proc SPIE Int Soc Opt Eng. 2015;9412doi: 10.1117/12.2082739.
Yu, Z., Leng, S., Jorgensen, S. M., Li, Z., Gutjahr, R., Chen, B., Duan, X., Halaweish, A. F., Yu, L., Ritman, E. L., & McCollough, C. H. (2015). Initial results from a prototype whole-body photon-counting computed tomography system. Proceedings of SPIE--the International Society for Optical Engineering, 9412. https://doi.org/10.1117/12.2082739
Yu, Z, et al. "Initial results from a prototype whole-body photon-counting computed tomography system." Proceedings of SPIE--the International Society for Optical Engineering vol. 9412 (2015). doi: https://doi.org/10.1117/12.2082739
Yu Z, Leng S, Jorgensen SM, Li Z, Gutjahr R, Chen B, Duan X, Halaweish AF, Yu L, Ritman EL, McCollough CH. Initial results from a prototype whole-body photon-counting computed tomography system. Proc SPIE Int Soc Opt Eng. 2015;9412. doi: 10.1117/12.2082739. PMID: 26097280; PMCID: PMC4470574.
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Dual-Source Multi-Energy CT with Triple or Quadruple X-ray Beams.

Proceedings of SPIE--the International Society for Optical Engineering

Yu L, Leng S, McCollough CH.
PMID: 27330237
Proc SPIE Int Soc Opt Eng. 2016 Feb;9783. doi: 10.1117/12.2217446. Epub 2016 Mar 22.

Energy-resolved photon-counting CT (PCCT) is promising for material decomposition with multi-contrast agents. However, corrections for non-idealities of PCCT detectors are required, which are still active research areas. In addition, PCCT is associated with very high cost due to lack...

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Yu L, Leng S, McCollough CH. Dual-Source Multi-Energy CT with Triple or Quadruple X-ray Beams. Proc SPIE Int Soc Opt Eng. 2016;9783doi: 10.1117/12.2217446.
Yu, L., Leng, S., & McCollough, C. H. (2016). Dual-Source Multi-Energy CT with Triple or Quadruple X-ray Beams. Proceedings of SPIE--the International Society for Optical Engineering, 9783. https://doi.org/10.1117/12.2217446
Yu, Lifeng, et al. "Dual-Source Multi-Energy CT with Triple or Quadruple X-ray Beams." Proceedings of SPIE--the International Society for Optical Engineering vol. 9783 (2016). doi: https://doi.org/10.1117/12.2217446
Yu L, Leng S, McCollough CH. Dual-Source Multi-Energy CT with Triple or Quadruple X-ray Beams. Proc SPIE Int Soc Opt Eng. 2016 Feb;9783. doi: 10.1117/12.2217446. Epub 2016 Mar 22. PMID: 27330237; PMCID: PMC4912217.
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Impact of prior information on material decomposition in dual- and multienergy computed tomography.

Journal of medical imaging (Bellingham, Wash.)

Ren L, Tao S, Rajendran K, McCollough CH, Yu L.
PMID: 30891466
J Med Imaging (Bellingham). 2019 Jan;6(1):013503. doi: 10.1117/1.JMI.6.1.013503. Epub 2019 Mar 14.

Prior information is often included in the basis material decomposition to solve the quantification problem of three-material mixtures in dual-energy computed tomography (DECT). Multienergy computed tomography (MECT) with more than two energy bins can provide a sufficient solution to...

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Ren L, Tao S, Rajendran K, et al. Impact of prior information on material decomposition in dual- and multienergy computed tomography. J Med Imaging (Bellingham). 2019;6(1):013503doi: 10.1117/1.JMI.6.1.013503.
Ren, L., Tao, S., Rajendran, K., McCollough, C. H., & Yu, L. (2019). Impact of prior information on material decomposition in dual- and multienergy computed tomography. Journal of medical imaging (Bellingham, Wash.), 6(1), 013503. https://doi.org/10.1117/1.JMI.6.1.013503
Ren, Liqiang, et al. "Impact of prior information on material decomposition in dual- and multienergy computed tomography." Journal of medical imaging (Bellingham, Wash.) vol. 6,1 (2019): 013503. doi: https://doi.org/10.1117/1.JMI.6.1.013503
Ren L, Tao S, Rajendran K, McCollough CH, Yu L. Impact of prior information on material decomposition in dual- and multienergy computed tomography. J Med Imaging (Bellingham). 2019 Jan;6(1):013503. doi: 10.1117/1.JMI.6.1.013503. Epub 2019 Mar 14. PMID: 30891466; PMCID: PMC6416528.
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Noise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scanner.

Journal of medical imaging (Bellingham, Wash.)

Yu Z, Leng S, Kappler S, Hahn K, Li Z, Halaweish AF, Henning A, McCollough CH.
PMID: 28018936
J Med Imaging (Bellingham). 2016 Oct;3(4):043503. doi: 10.1117/1.JMI.3.4.043503. Epub 2016 Dec 14.

Photon counting detector (PCD)-based computed tomography (CT) is an emerging imaging technique. Compared to conventional energy integrating detector (EID)-based CT, PCD-CT is able to exclude electronic noise that may severely impair image quality at low photon counts. This work...

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Yu Z, Leng S, Kappler S, et al. Noise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scanner. J Med Imaging (Bellingham). 2016;3(4):043503doi: 10.1117/1.JMI.3.4.043503.
Yu, Z., Leng, S., Kappler, S., Hahn, K., Li, Z., Halaweish, A. F., Henning, A., & McCollough, C. H. (2016). Noise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scanner. Journal of medical imaging (Bellingham, Wash.), 3(4), 043503. https://doi.org/10.1117/1.JMI.3.4.043503
Yu, Zhicong, et al. "Noise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scanner." Journal of medical imaging (Bellingham, Wash.) vol. 3,4 (2016): 043503. doi: https://doi.org/10.1117/1.JMI.3.4.043503
Yu Z, Leng S, Kappler S, Hahn K, Li Z, Halaweish AF, Henning A, McCollough CH. Noise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scanner. J Med Imaging (Bellingham). 2016 Oct;3(4):043503. doi: 10.1117/1.JMI.3.4.043503. Epub 2016 Dec 14. PMID: 28018936; PMCID: PMC5155128.
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Photon Counting CT: Clinical Applications and Future Developments.

IEEE transactions on radiation and plasma medical sciences

Hsieh SS, Leng S, Rajendran K, Tao S, McCollough CH.
PMID: 34485784
IEEE Trans Radiat Plasma Med Sci. 2021 Jul;5(4):441-452. doi: 10.1109/trpms.2020.3020212. Epub 2020 Aug 28.

The use of a photon counting detector in CT (PCD CT) is currently the subject of intense investigation and development. In this review article, we will describe potential clinical applications of this technology with a particular focus on the...

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Hsieh SS, Leng S, Rajendran K, et al. Photon Counting CT: Clinical Applications and Future Developments. IEEE Trans Radiat Plasma Med Sci. 2020;5(4):441-452doi: 10.1109/trpms.2020.3020212.
Hsieh, S. S., Leng, S., Rajendran, K., Tao, S., & McCollough, C. H. (2021). Photon Counting CT: Clinical Applications and Future Developments. IEEE transactions on radiation and plasma medical sciences, 5(4), 441-452. https://doi.org/10.1109/trpms.2020.3020212
Hsieh, Scott S, et al. "Photon Counting CT: Clinical Applications and Future Developments." IEEE transactions on radiation and plasma medical sciences vol. 5,4 (2021): 441-452. doi: https://doi.org/10.1109/trpms.2020.3020212
Hsieh SS, Leng S, Rajendran K, Tao S, McCollough CH. Photon Counting CT: Clinical Applications and Future Developments. IEEE Trans Radiat Plasma Med Sci. 2021 Jul;5(4):441-452. doi: 10.1109/trpms.2020.3020212. Epub 2020 Aug 28. PMID: 34485784; PMCID: PMC8409241.
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Impact of Photon Counting Detector Technology on kV Selection and Diagnostic Workflow in CT.

Proceedings of SPIE--the International Society for Optical Engineering

Zhou W, Abdurakhimova D, Bruesewitz M, Halaweish A, McCollough CH, Leng S.
PMID: 30034081
Proc SPIE Int Soc Opt Eng. 2018 Mar;10573. doi: 10.1117/12.2294952.

The purpose of this study is to determine the optimal iodine contrast-to-noise ratio (CNR) achievable for different patient sizes using virtual-monoenergetic-images (VMIs) and a universal acquisition protocol on photon-counting-detector CT (PCD-CT), and to compare results to those from single-energy...

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Zhou W, Abdurakhimova D, Bruesewitz M, et al. Impact of Photon Counting Detector Technology on kV Selection and Diagnostic Workflow in CT. Proc SPIE Int Soc Opt Eng. 2018;10573doi: 10.1117/12.2294952.
Zhou, W., Abdurakhimova, D., Bruesewitz, M., Halaweish, A., McCollough, C. H., & Leng, S. (2018). Impact of Photon Counting Detector Technology on kV Selection and Diagnostic Workflow in CT. Proceedings of SPIE--the International Society for Optical Engineering, 10573. https://doi.org/10.1117/12.2294952
Zhou, Wei, et al. "Impact of Photon Counting Detector Technology on kV Selection and Diagnostic Workflow in CT." Proceedings of SPIE--the International Society for Optical Engineering vol. 10573 (2018). doi: https://doi.org/10.1117/12.2294952
Zhou W, Abdurakhimova D, Bruesewitz M, Halaweish A, McCollough CH, Leng S. Impact of Photon Counting Detector Technology on kV Selection and Diagnostic Workflow in CT. Proc SPIE Int Soc Opt Eng. 2018 Mar;10573. doi: 10.1117/12.2294952. PMID: 30034081; PMCID: PMC6052873.
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Measuring arterial wall perfusion using photon-counting computed tomography (CT): improving CT number accuracy of artery wall using image deconvolution.

Journal of medical imaging (Bellingham, Wash.)

Rajendran K, Leng S, Jorgensen SM, Anderson JL, Halaweish AF, Abdurakhimova D, Ritman EL, McCollough CH.
PMID: 29250564
J Med Imaging (Bellingham). 2017 Oct;4(4):044006. doi: 10.1117/1.JMI.4.4.044006. Epub 2017 Dec 08.

Changes in arterial wall perfusion mark the onset of atherosclerosis. A characteristic change is the increased spatial density of vasa vasorum (VV), the microvessels in the arterial walls. Measuring this increased VV (IVV) density using contrast-enhanced computed tomography (CT)...

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Rajendran K, Leng S, Jorgensen SM, et al. Measuring arterial wall perfusion using photon-counting computed tomography (CT): improving CT number accuracy of artery wall using image deconvolution. J Med Imaging (Bellingham). 2017;4(4):044006doi: 10.1117/1.JMI.4.4.044006.
Rajendran, K., Leng, S., Jorgensen, S. M., Anderson, J. L., Halaweish, A. F., Abdurakhimova, D., Ritman, E. L., & McCollough, C. H. (2017). Measuring arterial wall perfusion using photon-counting computed tomography (CT): improving CT number accuracy of artery wall using image deconvolution. Journal of medical imaging (Bellingham, Wash.), 4(4), 044006. https://doi.org/10.1117/1.JMI.4.4.044006
Rajendran, Kishore, et al. "Measuring arterial wall perfusion using photon-counting computed tomography (CT): improving CT number accuracy of artery wall using image deconvolution." Journal of medical imaging (Bellingham, Wash.) vol. 4,4 (2017): 044006. doi: https://doi.org/10.1117/1.JMI.4.4.044006
Rajendran K, Leng S, Jorgensen SM, Anderson JL, Halaweish AF, Abdurakhimova D, Ritman EL, McCollough CH. Measuring arterial wall perfusion using photon-counting computed tomography (CT): improving CT number accuracy of artery wall using image deconvolution. J Med Imaging (Bellingham). 2017 Oct;4(4):044006. doi: 10.1117/1.JMI.4.4.044006. Epub 2017 Dec 08. PMID: 29250564; PMCID: PMC5722232.
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Noise reduction in CT image using prior knowledge aware iterative denoising.

Physics in medicine and biology

Tao S, Rajendran K, Zhou W, Fletcher JG, McCollough CH, Leng S.
PMID: 33065559
Phys Med Biol. 2020 Nov 19;65(22). doi: 10.1088/1361-6560/abc231.

The clinical demand for low image noise often limits the slice thickness used in many CT applications. However, a thick-slice image is more susceptible to longitudinal partial volume effects, which can blur key anatomic structures and pathologies of interest....

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Tao S, Rajendran K, Zhou W, et al. Noise reduction in CT image using prior knowledge aware iterative denoising. Phys Med Biol. 2020;65(22)doi: 10.1088/1361-6560/abc231.
Tao, S., Rajendran, K., Zhou, W., Fletcher, J. G., McCollough, C. H., & Leng, S. (2020). Noise reduction in CT image using prior knowledge aware iterative denoising. Physics in medicine and biology, 65(22), . https://doi.org/10.1088/1361-6560/abc231
Tao, Shengzhen, et al. "Noise reduction in CT image using prior knowledge aware iterative denoising." Physics in medicine and biology vol. 65,22 (2020). doi: https://doi.org/10.1088/1361-6560/abc231
Tao S, Rajendran K, Zhou W, Fletcher JG, McCollough CH, Leng S. Noise reduction in CT image using prior knowledge aware iterative denoising. Phys Med Biol. 2020 Nov 19;65(22). doi: 10.1088/1361-6560/abc231. PMID: 33065559; PMCID: PMC8050138.
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Noise reduction in CT image using prior knowledge aware iterative denoising.

Physics in medicine and biology

Tao S, Rajendran K, Zhou W, Fletcher JG, McCollough CH, Leng S.
PMID: 33065559
Phys Med Biol. 2020 Nov 19;65(22). doi: 10.1088/1361-6560/abc231.

The clinical demand for low image noise often limits the slice thickness used in many CT applications. However, a thick-slice image is more susceptible to longitudinal partial volume effects, which can blur key anatomic structures and pathologies of interest....

Cite
Tao S, Rajendran K, Zhou W, et al. Noise reduction in CT image using prior knowledge aware iterative denoising. Phys Med Biol. 2020;65(22)doi: 10.1088/1361-6560/abc231.
Tao, S., Rajendran, K., Zhou, W., Fletcher, J. G., McCollough, C. H., & Leng, S. (2020). Noise reduction in CT image using prior knowledge aware iterative denoising. Physics in medicine and biology, 65(22), . https://doi.org/10.1088/1361-6560/abc231
Tao, Shengzhen, et al. "Noise reduction in CT image using prior knowledge aware iterative denoising." Physics in medicine and biology vol. 65,22 (2020). doi: https://doi.org/10.1088/1361-6560/abc231
Tao S, Rajendran K, Zhou W, Fletcher JG, McCollough CH, Leng S. Noise reduction in CT image using prior knowledge aware iterative denoising. Phys Med Biol. 2020 Nov 19;65(22). doi: 10.1088/1361-6560/abc231. PMID: 33065559; PMCID: PMC8050138.
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Evaluation of a photon counting Medipix3RX CZT spectral x-ray detector.

Proceedings of SPIE--the International Society for Optical Engineering

Jorgensen SM, Vercnocke AJ, Rundle DS, Butler PH, McCollough CH, Ritman EL.
PMID: 27795606
Proc SPIE Int Soc Opt Eng. 2016 Aug 28;9969. doi: 10.1117/12.2236501. Epub 2016 Oct 03.

We assessed the performance of a cadmium zinc telluride (CZT)-based Medipix3RX x-ray detector as a candidate for micro-computed tomography (micro-CT) imaging. This technology was developed at CERN for the Large Hadron Collider. It features an array of 128 by...

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Jorgensen SM, Vercnocke AJ, Rundle DS, et al. Evaluation of a photon counting Medipix3RX CZT spectral x-ray detector. Proc SPIE Int Soc Opt Eng. 2016;9969doi: 10.1117/12.2236501.
Jorgensen, S. M., Vercnocke, A. J., Rundle, D. S., Butler, P. H., McCollough, C. H., & Ritman, E. L. (2016). Evaluation of a photon counting Medipix3RX CZT spectral x-ray detector. Proceedings of SPIE--the International Society for Optical Engineering, 9969. https://doi.org/10.1117/12.2236501
Jorgensen, Steven M, et al. "Evaluation of a photon counting Medipix3RX CZT spectral x-ray detector." Proceedings of SPIE--the International Society for Optical Engineering vol. 9969 (2016). doi: https://doi.org/10.1117/12.2236501
Jorgensen SM, Vercnocke AJ, Rundle DS, Butler PH, McCollough CH, Ritman EL. Evaluation of a photon counting Medipix3RX CZT spectral x-ray detector. Proc SPIE Int Soc Opt Eng. 2016 Aug 28;9969. doi: 10.1117/12.2236501. Epub 2016 Oct 03. PMID: 27795606; PMCID: PMC5080655.
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Image-based Material Decomposition with a General Volume Constraint for Photon-Counting CT.

Proceedings of SPIE--the International Society for Optical Engineering

Li Z, Leng S, Yu L, Yu Z, McCollough CH.
PMID: 26229220
Proc SPIE Int Soc Opt Eng. 2015;9412. doi: 10.1117/12.2082069.

Photon-counting CT (PCCT) potentially offers both improved dose efficiency and material decomposition capabilities relative to CT systems using energy integrating detectors. With respect to material decomposition, both projection-based and image-based methods have been proposed, most of which require accurate

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Li Z, Leng S, Yu L, et al. Image-based Material Decomposition with a General Volume Constraint for Photon-Counting CT. Proc SPIE Int Soc Opt Eng. 2015;9412doi: 10.1117/12.2082069.
Li, Z., Leng, S., Yu, L., Yu, Z., & McCollough, C. H. (2015). Image-based Material Decomposition with a General Volume Constraint for Photon-Counting CT. Proceedings of SPIE--the International Society for Optical Engineering, 9412. https://doi.org/10.1117/12.2082069
Li, Zhoubo, et al. "Image-based Material Decomposition with a General Volume Constraint for Photon-Counting CT." Proceedings of SPIE--the International Society for Optical Engineering vol. 9412 (2015). doi: https://doi.org/10.1117/12.2082069
Li Z, Leng S, Yu L, Yu Z, McCollough CH. Image-based Material Decomposition with a General Volume Constraint for Photon-Counting CT. Proc SPIE Int Soc Opt Eng. 2015;9412. doi: 10.1117/12.2082069. PMID: 26229220; PMCID: PMC4517482.
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Showing 1 to 12 of 30 entries