DocumentCode :
1789446
Title :
A prior-interpolation based metal artifact reduction algorithm in computed tomography
Author :
Ming Li ; Zhaobang Liu ; Yuefang Dong ; Kai Su ; Kangxin Luo
Author_Institution :
Med. Imaging Dept., Suzhou Inst. of Biomed. Eng. & Technol., Suzhou, China
fYear :
2014
fDate :
14-16 Oct. 2014
Firstpage :
24
Lastpage :
28
Abstract :
In case of the presence of metallic implants in patients, image quality in computed tomography (CT) often suffers from severe artifacts which may cause the image to be non-diagnostic. Traditional sinogram interpolation based metal artifact reduction (MAR) algorithms replace metal-corrupted projection data (the metal trace) via various interpolation strategies. However, while these methods can effectively remove metal artifacts, new residual artifacts will often emerge as surrogate data cannot be completely accurate. The secondary artifacts are usually as unacceptable as original metal artifacts. Therefore, better projection data estimation is critical. In this work, the authors proposed a prior-interpolation method for a better estimation of the metal-corrupted projection data. The proposed method requires an intermediate image, called the prior image and the prior image is generated via an image post-processing strategy, containing pre-filtering, bone extraction and soft-tissue restoring. This prior image is then forward projected to guide the data correction of the metal trace using a smooth sinogram completion technique. The corrected projections are used to reconstruct the final corrected image. The proposed algorithm is tested on hip and head CT test images containing metal objects. A comparison with other existing metal artifact reduction methods demonstrates that the prior-interpolation method performs better in residual artifacts suppression and tissue feature preservation.
Keywords :
bone; computerised tomography; feature extraction; filtering theory; image reconstruction; interpolation; medical image processing; metals; prosthetics; a prior-interpolation based metal artifact reduction algorithm; bone extraction; computed tomography; data correction; final corrected image reconstruction; head CT test images; hip CT test images; image post-processing strategy; image quality; intermediate image; interpolation strategies; metal trace; metal-corrupted projection data; metallic implants; nondiagnostic image; original metal artifacts; prefiltering; projection data estimation; residual artifacts; residual artifacts suppression; secondary artifacts; smooth sinogram completion technique; soft-tissue restoring; surrogate data; tissue feature preservation; traditional sinogram interpolation based metal artifact reduction algorithms; Biomedical imaging; Bones; Computed tomography; Image reconstruction; Implants; Interpolation; Metals; metal artifact reduction; prior image; prior-interpolation; residual artifacts; smooth sinogram correction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5837-5
Type :
conf
DOI :
10.1109/BMEI.2014.7002735
Filename :
7002735
Link To Document :
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