Detection of calcification clusters in digital breast tomosynthesis slices at different dose levels utilizing a SRSAR reconstruction and JAFROC
(2015) Conference on Medical Imaging - 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:
https://lup.lub.lu.se/record/7422541
- author
- Timberg, Pontus LU ; Dustler, Magnus LU ; Petersson, Hannie LU ; Tingberg, Anders LU and Zackrisson, S.
- organization
- publishing date
- 2015
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Digital Breast Tomosynthesis, Reconstruction Methods, JAFROC, FROC, Observer Performance, Dose, Perception
- host publication
- 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
- conference dates
- 2015-02-25 - 2015-02-26
- external identifiers
-
- wos:000354266600002
- scopus:84932166524
- ISSN
- 1996-756X
- 0277-786X
- DOI
- 10.1117/12.2081879
- language
- English
- LU publication?
- yes
- id
- 1aedd3d2-135a-4d66-95c2-c1a8c75cd980 (old id 7422541)
- date added to LUP
- 2016-04-01 11:15:57
- date last changed
- 2024-01-07 11:35:44
@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 = {{1996-756X}},
keywords = {{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}},
doi = {{10.1117/12.2081879}},
volume = {{9416}},
year = {{2015}},
}