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.
|Title of host publication||Medical Imaging 2017|
|Subtitle of host publication||Image Perception, Observer Performance, and Technology Assessment|
|Editors||Robert M. Nishikawa, Matthew A. Kupinski|
|Publication status||Published - 2017|
|Event||Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment - Orlando, United States|
Duration: 2017 Feb 12 → 2017 Feb 13
|Name||Progress in Biomedical Optics and Imaging - Proceedings of SPIE|
|Other||Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment|
|Period||17/2/12 → 17/2/13|
Bibliographical notePublisher Copyright:
© 2017 SPIE.
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Radiology Nuclear Medicine and imaging