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Masses detection in breast tomosynthesis and digital mammography: a model observer study

Castella, Cyril; Ruschin, Mark LU ; Eckstein, Miguel P; Kinkel, K; Verdun, Francis R; Tingberg, Anders LU and Bochud, Francois O (2009) SPIE Medical Imaging, 2009 In [Host publication title missing] 7263.
Abstract
In this study, we adapt and apply model observers within the framework of realistic detection tasks in breast tomosynthesis (BT). We use images consisting of realistic masses digitally embedded in real patient anatomical backgrounds, and we adapt specific model observers that have been previously applied to digital mammography (DM). We design alternative forced-choice experiments (AFC) studies for DM and BT tasks in the signal known exactly but variable (SKEV) framework. We compare performance of various linear model observers (non-prewhitening matched filter with an eye filter, and several channelized Hotelling observers (CHO) against human. A good agreement in performance between human and model observers can be obtained when an... (More)
In this study, we adapt and apply model observers within the framework of realistic detection tasks in breast tomosynthesis (BT). We use images consisting of realistic masses digitally embedded in real patient anatomical backgrounds, and we adapt specific model observers that have been previously applied to digital mammography (DM). We design alternative forced-choice experiments (AFC) studies for DM and BT tasks in the signal known exactly but variable (SKEV) framework. We compare performance of various linear model observers (non-prewhitening matched filter with an eye filter, and several channelized Hotelling observers (CHO) against human. A good agreement in performance between human and model observers can be obtained when an appropriate internal noise level is adopted. Models achieve the same detection performance across BT and DM with about three times less projected signal intensity in BT than in DM (humans: 3.8), due to the anatomical noise reduction in BT. We suggest that, in the future, model observers can potentially be used as an objective tool for automating the optimization of BT acquisition parameters or reconstruction algorithms, or narrowing a wide span of possible parameter combinations, without requiring human observers studies. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
volume
7263
publisher
SPIE
conference name
SPIE Medical Imaging, 2009
external identifiers
  • WOS:000306174400023
  • Scopus:67249101322
DOI
10.1117/12.811131
language
English
LU publication?
yes
id
bcff7851-500a-49c9-bf57-38c089237155 (old id 3045825)
alternative location
http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1335925
http://infoscience.epfl.ch/record/133431/files/EPFL_TH4347.pdf#page=79
date added to LUP
2013-05-07 14:32:17
date last changed
2016-10-13 04:45:20
@misc{bcff7851-500a-49c9-bf57-38c089237155,
  abstract     = {In this study, we adapt and apply model observers within the framework of realistic detection tasks in breast tomosynthesis (BT). We use images consisting of realistic masses digitally embedded in real patient anatomical backgrounds, and we adapt specific model observers that have been previously applied to digital mammography (DM). We design alternative forced-choice experiments (AFC) studies for DM and BT tasks in the signal known exactly but variable (SKEV) framework. We compare performance of various linear model observers (non-prewhitening matched filter with an eye filter, and several channelized Hotelling observers (CHO) against human. A good agreement in performance between human and model observers can be obtained when an appropriate internal noise level is adopted. Models achieve the same detection performance across BT and DM with about three times less projected signal intensity in BT than in DM (humans: 3.8), due to the anatomical noise reduction in BT. We suggest that, in the future, model observers can potentially be used as an objective tool for automating the optimization of BT acquisition parameters or reconstruction algorithms, or narrowing a wide span of possible parameter combinations, without requiring human observers studies.},
  author       = {Castella, Cyril and Ruschin, Mark and Eckstein, Miguel P and Kinkel, K and Verdun, Francis R and Tingberg, Anders and Bochud, Francois O},
  language     = {eng},
  publisher    = {ARRAY(0x9b2a528)},
  series       = {[Host publication title missing]},
  title        = {Masses detection in breast tomosynthesis and digital mammography: a model observer study},
  url          = {http://dx.doi.org/10.1117/12.811131},
  volume       = {7263},
  year         = {2009},
}