Correlation between model observers in uniform background and human observers in patient liver background for a low-contrast detection task in CT

Hao Gong, Lifeng Yu, Shuai Leng, Samantha DIlger, Wei Zhou, Liqiang Ren, Cynthia H McCollough

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

1 Citation (Scopus)

Abstract

Channelized Hotelling observer (CHO) has demonstrated strong correlation with human observer (HO) in both single-slice viewing mode and multi-slice viewing mode in low-contrast detection tasks with uniform background. However, it remains unknown if the simplest single-slice CHO in uniform background can be used to predict human observer performance in more realistic tasks that involve patient anatomical background and multi-slice viewing mode. In this study, we aim to investigate the correlation between CHO in a uniform water background and human observer performance at a multi-slice viewing mode on patient liver background for a low-contrast lesion detection task. The human observer study was performed on CT images from 7 abdominal CT exams. A noise insertion tool was employed to synthesize CT scans at two additional dose levels. A validated lesion insertion tool was used to numerically insert metastatic liver lesions of various sizes and contrasts into both phantom and patient images. We selected 12 conditions out of 72 possible experimental conditions to evaluate the correlation at various radiation doses, lesion sizes, lesion contrasts and reconstruction algorithms. CHO with both single and multi-slice viewing modes were strongly correlated with HO. The corresponding Pearson's correlation coefficient was 0.982 (with 95% confidence interval (CI) [0.936, 0.995]) and 0.989 (with 95% CI of [0.960, 0.997]) in multi-slice and single-slice viewing modes, respectively. Therefore, this study demonstrated the potential to use the simplest single-slice CHO to assess image quality for more realistic clinically relevant CT detection tasks.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2018
Subtitle of host publicationImage Perception, Observer Performance, and Technology Assessment
PublisherSPIE
Volume10577
ISBN (Electronic)9781510616431
DOIs
StatePublished - Jan 1 2018
EventMedical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment - Houston, United States
Duration: Feb 11 2018Feb 12 2018

Other

OtherMedical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CityHouston
Period2/11/182/12/18

Fingerprint

liver
Liver
lesions
Computerized tomography
Image quality
Dosimetry
Water
insertion
confidence
Confidence Intervals
intervals
dosage
Noise
inserts
correlation coefficients
Radiation
radiation
water

Keywords

  • Channelized Hotelling observer
  • Computed tomography (CT)
  • Model observer
  • Multi-slice viewing
  • Observer study

ASJC Scopus subject areas

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

Cite this

Gong, H., Yu, L., Leng, S., DIlger, S., Zhou, W., Ren, L., & McCollough, C. H. (2018). Correlation between model observers in uniform background and human observers in patient liver background for a low-contrast detection task in CT. In Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment (Vol. 10577). [105770M] SPIE. https://doi.org/10.1117/12.2294955

Correlation between model observers in uniform background and human observers in patient liver background for a low-contrast detection task in CT. / Gong, Hao; Yu, Lifeng; Leng, Shuai; DIlger, Samantha; Zhou, Wei; Ren, Liqiang; McCollough, Cynthia H.

Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment. Vol. 10577 SPIE, 2018. 105770M.

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

Gong, H, Yu, L, Leng, S, DIlger, S, Zhou, W, Ren, L & McCollough, CH 2018, Correlation between model observers in uniform background and human observers in patient liver background for a low-contrast detection task in CT. in Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment. vol. 10577, 105770M, SPIE, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Houston, United States, 2/11/18. https://doi.org/10.1117/12.2294955
Gong H, Yu L, Leng S, DIlger S, Zhou W, Ren L et al. Correlation between model observers in uniform background and human observers in patient liver background for a low-contrast detection task in CT. In Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment. Vol. 10577. SPIE. 2018. 105770M https://doi.org/10.1117/12.2294955
Gong, Hao ; Yu, Lifeng ; Leng, Shuai ; DIlger, Samantha ; Zhou, Wei ; Ren, Liqiang ; McCollough, Cynthia H. / Correlation between model observers in uniform background and human observers in patient liver background for a low-contrast detection task in CT. Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment. Vol. 10577 SPIE, 2018.
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