Multislice anthropomorphic model observer for detectability evaluation on breast cone beam CT images

Minah Han, Jongduk Baek

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

Abstract

We predict human observer performance for lesion detection on breast cone beam computed tomography (CBCT) images using single-slice and multislice model observers with a constant internal noise level. We evaluate human observer performance on single-slice and multislice simulated breast CBCT images with 1 mm signal, and predict the performance using model observers. We use a channelized Hotelling observer (CHO) and nonprewhitening observer with eye-filter (NPWE). We employ dense difference-of-Gaussian (D-DOG) channels for CHO, and eyefilter with peak value at 7 cyc/deg for NPWE. We include channel internal noise for CHO and decision variable internal noise for NPWE. For single-slice images, D-DOG CHO and NPWE predict human observer performance well. For multislice images, D-DOG CHO overestimates human observer performance, while NPWE predict human observer performance successfully.

Original languageEnglish
Title of host publication15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
EditorsSamuel Matej, Scott D. Metzler
PublisherSPIE
ISBN (Electronic)9781510628373
DOIs
Publication statusPublished - 2019
Event15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019 - Philadelphia, United States
Duration: 2019 Jun 22019 Jun 6

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11072
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019
Country/TerritoryUnited States
CityPhiladelphia
Period19/6/219/6/6

Bibliographical note

Funding Information:
This research was supported by Ministry of Science, ICT and Future Planning (IITP-2018-2018-0-01015) and National Research Foundation of Korea (2017M2A2A4A01070302, 2017M2A2A6A01019663, 2017M2A2A6A02087175, 2018R1A1A1A05077894, 2018M3A9H6081483).

Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Multislice anthropomorphic model observer for detectability evaluation on breast cone beam CT images'. Together they form a unique fingerprint.

Cite this