DocumentCode :
3330266
Title :
Reconstruction for musculoskeletal tomosynthesis: A comparative study using image quality assessment in image and projection domain
Author :
Levakhina, Y.M. ; Kratz, B. ; Duschka, R.L. ; Vogt, F. ; Barkhausen, J. ; Buzug, T.M.
Author_Institution :
Grad. Sch. for Comput. in Med. & Life Sci., Univ. of Luebeck, Luebeck, Germany
fYear :
2011
fDate :
23-29 Oct. 2011
Firstpage :
2569
Lastpage :
2571
Abstract :
Digital tomosynthesis (DT) is an X-ray limited angle tomographic technique for producing an arbitrary number of cross-sectional slices of an object. Due to the limited tomographic nature and a violation of the tomographic sufficiency conditions, an accurate image reconstruction in DT is a challenging task. In this work, the Simultaneous Algebraic Reconstruction Technique (SART) for the musculoskeletal tomosynthesis imaging has been investigated. The purpose of this study is twofold. First, to determine SART optimal parameters, which deliver images with less artifacts. Second, to propose an automatic no-reference image quality measure in order to compare reconstructed volumes when varying reconstruction parameters. Several no-reference metrics were tested in both, the image and the projection domain. Measurements have been carried out on two hands from body donors using the Siemens Mammomat Inspiration device. All tested metrics show good agreement in their results. Based on the comparison between metric results, an optimal combination of reconstruction parameters has been selected.
Keywords :
bone; computerised tomography; image reconstruction; medical image processing; muscle; Siemens mammomat inspiration device; X-ray limited angle tomographic technique; cross-sectional slices; digital tomosynthesis; image quality assessment; image reconstruction; musculoskeletal tomosynthesis; simultaneous algebraic reconstruction technique;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE
Conference_Location :
Valencia
ISSN :
1082-3654
Print_ISBN :
978-1-4673-0118-3
Type :
conf
DOI :
10.1109/NSSMIC.2011.6152693
Filename :
6152693
Link To Document :
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