Advanced

Detection of calcification clusters in digital breast tomosynthesis slices at different dose levels utilizing a SRSAR reconstruction and JAFROC

Timberg, Pontus LU ; Dustler, Magnus LU ; Petersson, Hannie LU ; Tingberg, Anders LU and Zackrisson, S. (2015) Conference on Medical Imaging - Image Perception, Observer Performance, and Technology Assessment In Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment 9416. p.941604-941604
Abstract
Purpose: To investigate detection performance for calcification clusters in reconstructed digital breast tomosynthesis (DBT) slices at different dose levels using a Super Resolution and Statistical Artifact Reduction (SRSAR) reconstruction method. Method: Simulated calcifications with irregular profile (0.2 mm diameter) where combined to form clusters that were added to projection images (1-3 clusters per abnormal image) acquired on a DBT system (Mammomat Inspiration, Siemens). The projection images were dose reduced by software to form 35 abnormal cases and 25 normal cases as if acquired at 100%, 75% and 50% dose level (AGD of approximately 1.6 mGy for a 53 mm standard breast, measured according to EUREF v0.15). An FBP algorithm adapted... (More)
Purpose: To investigate detection performance for calcification clusters in reconstructed digital breast tomosynthesis (DBT) slices at different dose levels using a Super Resolution and Statistical Artifact Reduction (SRSAR) reconstruction method. Method: Simulated calcifications with irregular profile (0.2 mm diameter) where combined to form clusters that were added to projection images (1-3 clusters per abnormal image) acquired on a DBT system (Mammomat Inspiration, Siemens). The projection images were dose reduced by software to form 35 abnormal cases and 25 normal cases as if acquired at 100%, 75% and 50% dose level (AGD of approximately 1.6 mGy for a 53 mm standard breast, measured according to EUREF v0.15). An FBP algorithm adapted to DBT (called standard FBP) and a SRSAR reconstruction method utilizing iterative reconstruction filtering, and outlier detection using Maximum-Intensity Projections and Average-Intensity Projections) were used to reconstruct single central slices to be used in a free-response task (60 images per observer and dose level). Six observers participated and their task was to detect clusters and assign confidence rating in randomly presented images from the whole image set (balanced by dose level). Each trial was separated by one week to reduce possible memory bias. The outcome was analyzed for statistical differences using Jackknife Alternative Free-response Receiver Operating Characteristics. Results: The results indicate that it is possible to reduce the dose by 50% with SRSAR without jeopardizing cluster detection. Conclusions: The detection performance for clusters can be maintained at a lower dose level by using SRSAR reconstruction. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Digital Breast Tomosynthesis, Reconstruction Methods, JAFROC, FROC, Observer Performance, Dose, Perception
in
Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment
volume
9416
pages
941604 - 941604
publisher
SPIE
conference name
Conference on Medical Imaging - Image Perception, Observer Performance, and Technology Assessment
external identifiers
  • wos:000354266600002
  • scopus:84932166524
ISSN
0277-786X
1996-756X
DOI
10.1117/12.2081879
language
English
LU publication?
yes
id
1aedd3d2-135a-4d66-95c2-c1a8c75cd980 (old id 7422541)
date added to LUP
2015-06-26 12:54:45
date last changed
2017-11-20 15:05:56
@inproceedings{1aedd3d2-135a-4d66-95c2-c1a8c75cd980,
  abstract     = {Purpose: To investigate detection performance for calcification clusters in reconstructed digital breast tomosynthesis (DBT) slices at different dose levels using a Super Resolution and Statistical Artifact Reduction (SRSAR) reconstruction method. Method: Simulated calcifications with irregular profile (0.2 mm diameter) where combined to form clusters that were added to projection images (1-3 clusters per abnormal image) acquired on a DBT system (Mammomat Inspiration, Siemens). The projection images were dose reduced by software to form 35 abnormal cases and 25 normal cases as if acquired at 100%, 75% and 50% dose level (AGD of approximately 1.6 mGy for a 53 mm standard breast, measured according to EUREF v0.15). An FBP algorithm adapted to DBT (called standard FBP) and a SRSAR reconstruction method utilizing iterative reconstruction filtering, and outlier detection using Maximum-Intensity Projections and Average-Intensity Projections) were used to reconstruct single central slices to be used in a free-response task (60 images per observer and dose level). Six observers participated and their task was to detect clusters and assign confidence rating in randomly presented images from the whole image set (balanced by dose level). Each trial was separated by one week to reduce possible memory bias. The outcome was analyzed for statistical differences using Jackknife Alternative Free-response Receiver Operating Characteristics. Results: The results indicate that it is possible to reduce the dose by 50% with SRSAR without jeopardizing cluster detection. Conclusions: The detection performance for clusters can be maintained at a lower dose level by using SRSAR reconstruction.},
  author       = {Timberg, Pontus and Dustler, Magnus and Petersson, Hannie and Tingberg, Anders and Zackrisson, S.},
  booktitle    = {Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment},
  issn         = {0277-786X},
  keyword      = {Digital Breast Tomosynthesis,Reconstruction Methods,JAFROC,FROC,Observer Performance,Dose,Perception},
  language     = {eng},
  pages        = {941604--941604},
  publisher    = {SPIE},
  title        = {Detection of calcification clusters in digital breast tomosynthesis slices at different dose levels utilizing a SRSAR reconstruction and JAFROC},
  url          = {http://dx.doi.org/10.1117/12.2081879},
  volume       = {9416},
  year         = {2015},
}