Investigation on location dependent detectability in cone beam CT images with uniform and anatomical backgrounds

Minah Han, Jongduk Baek

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

Abstract

We investigate location dependent lesion detectability of cone beam computed tomography images for different background types (i.e., uniform and anatomical), image planes (i.e., transverse and longitudinal) and slice thicknesses. Anatomical backgrounds are generated using a power law spectrum of breast anatomy, 1/f 3. Spherical object with a 5mm diameter is used as a signal. CT projection data are acquired by the forward projection of uniform and anatomical backgrounds with and without the signal. Then, projection data are reconstructed using the FDK algorithm. Detectability is evaluated by a channelized Hotelling observer with dense difference-of-Gaussian channels. For uniform background, off-centered images yield higher detectability than iso-centered images for the transverse plane, while for the longitudinal plane, detectability of iso-centered and off-centered images are similar. For anatomical background, officentered images yield higher detectability for the transverse plane, while iso-centered images yield higher detectability for the longitudinal plane, when the slice thickness is smaller than 1.9mm. The optimal slice thickness is 3.8mm for all tasks, and the transverse plane at the off-center (iso-center and off-center) produces the highest detectability for uniform (anatomical) background.

Original languageEnglish
Title of host publicationMedical Imaging 2017
Subtitle of host publicationImage Perception, Observer Performance, and Technology Assessment
EditorsRobert M. Nishikawa, Matthew A. Kupinski
PublisherSPIE
Volume10136
ISBN (Electronic)9781510607170
DOIs
Publication statusPublished - 2017 Jan 1
EventMedical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment - Orlando, United States
Duration: 2017 Feb 122017 Feb 13

Other

OtherMedical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CityOrlando
Period17/2/1217/2/13

Fingerprint

Cone-Beam Computed Tomography
Tomography
Cones
Anatomy
cones
Breast
projection
anatomy
breast
lesions
tomography

All Science Journal Classification (ASJC) codes

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

Cite this

Han, M., & Baek, J. (2017). Investigation on location dependent detectability in cone beam CT images with uniform and anatomical backgrounds. In R. M. Nishikawa, & M. A. Kupinski (Eds.), Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment (Vol. 10136). [101361D] SPIE. https://doi.org/10.1117/12.2254182
Han, Minah ; Baek, Jongduk. / Investigation on location dependent detectability in cone beam CT images with uniform and anatomical backgrounds. Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. editor / Robert M. Nishikawa ; Matthew A. Kupinski. Vol. 10136 SPIE, 2017.
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Han, M & Baek, J 2017, Investigation on location dependent detectability in cone beam CT images with uniform and anatomical backgrounds. in RM Nishikawa & MA Kupinski (eds), Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. vol. 10136, 101361D, SPIE, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, Orlando, United States, 17/2/12. https://doi.org/10.1117/12.2254182

Investigation on location dependent detectability in cone beam CT images with uniform and anatomical backgrounds. / Han, Minah; Baek, Jongduk.

Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. ed. / Robert M. Nishikawa; Matthew A. Kupinski. Vol. 10136 SPIE, 2017. 101361D.

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

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Han M, Baek J. Investigation on location dependent detectability in cone beam CT images with uniform and anatomical backgrounds. In Nishikawa RM, Kupinski MA, editors, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. Vol. 10136. SPIE. 2017. 101361D https://doi.org/10.1117/12.2254182