VALIDATION OF A SIMULATION PROCEDURE FOR GENERATING BREAST TOMOSYNTHESIS PROJECTION IMAGES.
(2016) In Radiation Protection Dosimetry- Abstract
- In order to achieve optimal diagnostic performance in breast tomosynthesis (BT) imaging, the parameters of the imaging chain should be evaluated. For the purpose of such evaluations, a simulation procedure based on the Monte Carlo code system Penelope and the geometry of a Siemens BT system has been developed to generate BT projection images. In this work, the simulation procedure is validated by comparing contrast and sharpness in simulated images with contrast and sharpness in real images acquired with the BT system. The results of the study showed a good agreement of sharpness in real and simulated reconstructed image planes, but the contrast was shown to be higher in the simulated compared with the real projection images. The developed... (More)
- In order to achieve optimal diagnostic performance in breast tomosynthesis (BT) imaging, the parameters of the imaging chain should be evaluated. For the purpose of such evaluations, a simulation procedure based on the Monte Carlo code system Penelope and the geometry of a Siemens BT system has been developed to generate BT projection images. In this work, the simulation procedure is validated by comparing contrast and sharpness in simulated images with contrast and sharpness in real images acquired with the BT system. The results of the study showed a good agreement of sharpness in real and simulated reconstructed image planes, but the contrast was shown to be higher in the simulated compared with the real projection images. The developed simulation procedure could be used to generate BT images, but it is of interest to further investigate how the procedure could be modified to generate more realistic image noise and contrast. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8829360
- author
- Petersson, Hannie LU ; Warren, Lucy M ; Tingberg, Anders LU ; Dustler, Magnus LU and Timberg, Pontus LU
- organization
- publishing date
- 2016-02-02
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Radiation Protection Dosimetry
- publisher
- Oxford University Press
- external identifiers
-
- pmid:26842713
- pmid:26842713
- scopus:84978976090
- wos:000383492100061
- ISSN
- 1742-3406
- DOI
- 10.1093/rpd/ncv555
- language
- English
- LU publication?
- yes
- id
- 632d403d-5bb5-46d6-9eaf-482c9948d481 (old id 8829360)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/26842713?dopt=Abstract
- date added to LUP
- 2016-04-04 09:24:30
- date last changed
- 2024-02-28 04:00:50
@article{632d403d-5bb5-46d6-9eaf-482c9948d481, abstract = {{In order to achieve optimal diagnostic performance in breast tomosynthesis (BT) imaging, the parameters of the imaging chain should be evaluated. For the purpose of such evaluations, a simulation procedure based on the Monte Carlo code system Penelope and the geometry of a Siemens BT system has been developed to generate BT projection images. In this work, the simulation procedure is validated by comparing contrast and sharpness in simulated images with contrast and sharpness in real images acquired with the BT system. The results of the study showed a good agreement of sharpness in real and simulated reconstructed image planes, but the contrast was shown to be higher in the simulated compared with the real projection images. The developed simulation procedure could be used to generate BT images, but it is of interest to further investigate how the procedure could be modified to generate more realistic image noise and contrast.}}, author = {{Petersson, Hannie and Warren, Lucy M and Tingberg, Anders and Dustler, Magnus and Timberg, Pontus}}, issn = {{1742-3406}}, language = {{eng}}, month = {{02}}, publisher = {{Oxford University Press}}, series = {{Radiation Protection Dosimetry}}, title = {{VALIDATION OF A SIMULATION PROCEDURE FOR GENERATING BREAST TOMOSYNTHESIS PROJECTION IMAGES.}}, url = {{http://dx.doi.org/10.1093/rpd/ncv555}}, doi = {{10.1093/rpd/ncv555}}, year = {{2016}}, }