Ultra-high resolution photon-counting detector CT reconstruction using spectral prior image constrained compressed-sensing (UHR-SPICCS)

Kishore Rajendran, Shengzhen Tao, Dilbar Abdurakhimova, Shuai Leng, Cynthia H McCollough

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Photon-counting detector based CT (PCD-CT) enables dose efficient high resolution imaging, in addition to providing multi-energy information. This allows better delineation of anatomical structures crucial for several clinical applications ranging from temporal bone imaging to pulmonary nodule visualization. Due to the smaller detector pixel sizes required for high resolution imaging, the PCD-CT images suffer from higher noise levels. The image quality is further degraded in narrow energy bins as a consequence of low photon counts. This limits the potential benefits that high-resolution PCD-CT could offer. Conventional reconstruction techniques such as the filtered back projection (FBP) have poor performance when reconstructing noisy CT projection data. To enable low noise multi-energy reconstructions, we employed a spectral prior image constrained compressed sensing (SPICCS) framework that exploits the spatio-spectral redundancy in the multi-energy acquisitions. We demonstrated noise reduction in narrow energy bins without losing energy-specific attenuation information and spatial resolution. We scanned an anthropomorphic head phantom, and a euthanized pig using our whole-body prototype PCD-CT system in the ultra-high resolution mode at 120 kV. Image reconstructions were performed using SPICCS and compared with conventional FBP. Noise reduction of 18 to 46% was noticed in narrow energy bins corresponding to 25 - 65 keV and 65 - 120 keV, while the mean CT number was preserved. Spatial resolution measurement showed similar modulation transfer function (MTF) values between FBP and SPICCS, demonstrating preservation of spatial resolution.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2018
Subtitle of host publicationPhysics of Medical Imaging
PublisherSPIE
Volume10573
ISBN (Electronic)9781510616356
DOIs
StatePublished - Jan 1 2018
EventMedical Imaging 2018: Physics of Medical Imaging - Houston, United States
Duration: Feb 12 2018Feb 15 2018

Other

OtherMedical Imaging 2018: Physics of Medical Imaging
CountryUnited States
CityHouston
Period2/12/182/15/18

Fingerprint

Compressed sensing
Photons
counting
Noise
Detectors
Bins
high resolution
detectors
photons
projection
Noise abatement
Imaging techniques
spatial resolution
energy
noise reduction
Computer-Assisted Image Processing
Temporal Bone
Optical transfer function
Image reconstruction
Image quality

Keywords

  • compressed sensing
  • computed tomography
  • image reconstruction
  • multi-energy
  • Photon-counting detectors
  • prior image constrained compressed sensing
  • ultra-high resolution

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Rajendran, K., Tao, S., Abdurakhimova, D., Leng, S., & McCollough, C. H. (2018). Ultra-high resolution photon-counting detector CT reconstruction using spectral prior image constrained compressed-sensing (UHR-SPICCS). In Medical Imaging 2018: Physics of Medical Imaging (Vol. 10573). [1057318] SPIE. https://doi.org/10.1117/12.2294628

Ultra-high resolution photon-counting detector CT reconstruction using spectral prior image constrained compressed-sensing (UHR-SPICCS). / Rajendran, Kishore; Tao, Shengzhen; Abdurakhimova, Dilbar; Leng, Shuai; McCollough, Cynthia H.

Medical Imaging 2018: Physics of Medical Imaging. Vol. 10573 SPIE, 2018. 1057318.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rajendran, K, Tao, S, Abdurakhimova, D, Leng, S & McCollough, CH 2018, Ultra-high resolution photon-counting detector CT reconstruction using spectral prior image constrained compressed-sensing (UHR-SPICCS). in Medical Imaging 2018: Physics of Medical Imaging. vol. 10573, 1057318, SPIE, Medical Imaging 2018: Physics of Medical Imaging, Houston, United States, 2/12/18. https://doi.org/10.1117/12.2294628
Rajendran, Kishore ; Tao, Shengzhen ; Abdurakhimova, Dilbar ; Leng, Shuai ; McCollough, Cynthia H. / Ultra-high resolution photon-counting detector CT reconstruction using spectral prior image constrained compressed-sensing (UHR-SPICCS). Medical Imaging 2018: Physics of Medical Imaging. Vol. 10573 SPIE, 2018.
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