Prior‐based artifact correction (PBAC) in computed tomography. Issue 2 (23rd January 2014)
- Record Type:
- Journal Article
- Title:
- Prior‐based artifact correction (PBAC) in computed tomography. Issue 2 (23rd January 2014)
- Main Title:
- Prior‐based artifact correction (PBAC) in computed tomography
- Authors:
- Heußer, Thorsten
Brehm, Marcus
Ritschl, Ludwig
Sawall, Stefan
Kachelrieß, Marc - Abstract:
- Abstract : Purpose: : Image quality in computed tomography (CT) often suffers from artifacts which may reduce the diagnostic value of the image. In many cases, these artifacts result from missing or corrupt regions in the projection data, e.g., in the case of metal, truncation, and limited angle artifacts. The authors propose a generalized correction method for different kinds of artifacts resulting from missing or corrupt data by making use of available prior knowledge to perform data completion. Methods: : The proposed prior‐based artifact correction (PBAC) method requires prior knowledge in form of a planning CT of the same patient or in form of a CT scan of a different patient showing the same body region. In both cases, the prior image is registered to the patient image using a deformable transformation. The registered prior is forward projected and data completion of the patient projections is performed using smooth sinogram inpainting. The obtained projection data are used to reconstruct the corrected image. Results: : The authors investigate metal and truncation artifacts in patient data sets acquired with a clinical CT and limited angle artifacts in an anthropomorphic head phantom data set acquired with a gantry‐based flat detector CT device. In all cases, the corrected images obtained by PBAC are nearly artifact‐free. Compared to conventional correction methods, PBAC achieves better artifact suppression while preserving the patient‐specific anatomy at the sameAbstract : Purpose: : Image quality in computed tomography (CT) often suffers from artifacts which may reduce the diagnostic value of the image. In many cases, these artifacts result from missing or corrupt regions in the projection data, e.g., in the case of metal, truncation, and limited angle artifacts. The authors propose a generalized correction method for different kinds of artifacts resulting from missing or corrupt data by making use of available prior knowledge to perform data completion. Methods: : The proposed prior‐based artifact correction (PBAC) method requires prior knowledge in form of a planning CT of the same patient or in form of a CT scan of a different patient showing the same body region. In both cases, the prior image is registered to the patient image using a deformable transformation. The registered prior is forward projected and data completion of the patient projections is performed using smooth sinogram inpainting. The obtained projection data are used to reconstruct the corrected image. Results: : The authors investigate metal and truncation artifacts in patient data sets acquired with a clinical CT and limited angle artifacts in an anthropomorphic head phantom data set acquired with a gantry‐based flat detector CT device. In all cases, the corrected images obtained by PBAC are nearly artifact‐free. Compared to conventional correction methods, PBAC achieves better artifact suppression while preserving the patient‐specific anatomy at the same time. Further, the authors show that prominent anatomical details in the prior image seem to have only minor impact on the correction result. Conclusions: : The results show that PBAC has the potential to effectively correct for metal, truncation, and limited angle artifacts if adequate prior data are available. Since the proposed method makes use of a generalized algorithm, PBAC may also be applicable to other artifacts resulting from missing or corrupt data. … (more)
- Is Part Of:
- Medical physics. Volume 41:Issue 2(2014)
- Journal:
- Medical physics
- Issue:
- Volume 41:Issue 2(2014)
- Issue Display:
- Volume 41, Issue 2 (2014)
- Year:
- 2014
- Volume:
- 41
- Issue:
- 2
- Issue Sort Value:
- 2014-0041-0002-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2014-01-23
- Subjects:
- metal artifact reduction -- truncation artifact reduction -- limited angle artifact reduction -- prior knowledge -- sinogram inpainting
Medical imaging -- Medical image artifacts -- Computed tomography -- Medical image reconstruction -- Data sets -- Medical image contrast -- Image registration -- Anatomy -- Image reconstruction -- Tissues
Medical physics -- Periodicals
Medical physics
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610.153 - Journal URLs:
- http://scitation.aip.org/content/aapm/journal/medphys ↗
https://aapm.onlinelibrary.wiley.com/journal/24734209 ↗
http://www.aip.org/ ↗ - DOI:
- 10.1118/1.4851536 ↗
- Languages:
- English
- ISSNs:
- 0094-2405
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5531.130000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9337.xml