Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation

Changwoo Lee, Jongduk Baek, Subok Park

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

7 Citations (Scopus)

Abstract

Digital breast tomosynthesis (DBT) is an emerging imaging modality for improved breast cancer detection and diagnosis [1-5]. Numerous efforts have been made to find quantitative metrics associated with mammographic image quality assessment, such as the exponent β of anatomical noise power spectrum, glandularity, contrast noise ratio, etc. [6-8]. In addition, with the use of Fourier-domain detectability for a task-based assessment of DBT, a stationarity assumption on reconstructed image statistics was often made [9-11], resulting in the use of multiple regions-of-interest (ROIs) from different locations in order to increase sample size. While all these metrics provide some information on mammographic image characteristics and signal detection, the relationship between these metrics and detectability in DBT evaluation has not been fully understood. In this work, we investigated spatial-domain detectability trends and levels as a function of the number of slices Ns at three different ROI locations on the same image slice, where background statistics differ in terms of the aforementioned metrics. Detectabilities for the three ROI locations were calculated using multi-slice channelized Hotelling observers with 2D/3D Laguerre-Gauss channels. Our simulation results show that detectability levels and trends as a function of Ns vary across these three ROI locations. They also show that the exponent β, mean glandularity, and mean attenuation coefficient vary across the three ROI locations but they do not necessarily predict the ranking of detectability levels and trends across these ROI locations.

Original languageEnglish
Title of host publicationMedical Imaging 2016
Subtitle of host publicationImage Perception, Observer Performance, and Technology Assessment
PublisherSPIE
Volume9787
ISBN (Electronic)9781510600225
DOIs
Publication statusPublished - 2016 Jan 1
EventMedical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment - San Diego, United States
Duration: 2016 Mar 22016 Mar 3

Other

OtherMedical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CitySan Diego
Period16/3/216/3/3

Fingerprint

Mammography
breast
evaluation
trends
Sample Size
Noise
Statistics
statistics
exponents
Breast Neoplasms
ranking
signal detection
Signal detection
attenuation coefficients
noise spectra
Power spectrum
Image quality
power spectra
emerging
cancer

All Science Journal Classification (ASJC) codes

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

Cite this

Lee, C., Baek, J., & Park, S. (2016). Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation. In Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment (Vol. 9787). [97870V] SPIE. https://doi.org/10.1117/12.2216579
Lee, Changwoo ; Baek, Jongduk ; Park, Subok. / Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation. Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment. Vol. 9787 SPIE, 2016.
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Lee, C, Baek, J & Park, S 2016, Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation. in Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment. vol. 9787, 97870V, SPIE, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, United States, 16/3/2. https://doi.org/10.1117/12.2216579

Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation. / Lee, Changwoo; Baek, Jongduk; Park, Subok.

Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment. Vol. 9787 SPIE, 2016. 97870V.

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

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Lee C, Baek J, Park S. Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation. In Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment. Vol. 9787. SPIE. 2016. 97870V https://doi.org/10.1117/12.2216579