Skip to main content
Top
Published in: European Radiology 7/2016

01-07-2016 | Computed Tomography

Prior Image Constrained Compressed Sensing Metal Artifact Reduction (PICCS-MAR): 2D and 3D Image Quality Improvement with Hip Prostheses at CT Colonography

Authors: Peter Bannas, Yinsheng Li, Utaroh Motosugi, Ke Li, Meghan Lubner, Guang-Hong Chen, Perry J. Pickhardt

Published in: European Radiology | Issue 7/2016

Login to get access

Abstract

Purpose

To assess the effect of the prior-image-constrained-compressed-sensing-based metal-artefact-reduction (PICCS-MAR) algorithm on streak artefact reduction and 2D and 3D-image quality improvement in patients with total hip arthroplasty (THA) undergoing CT colonography (CTC).

Materials and methods

PICCS-MAR was applied to filtered-back-projection (FBP)-reconstructed DICOM CTC-images in 52 patients with THA (unilateral, n = 30; bilateral, n = 22). For FBP and PICCS-MAR series, ROI-measurements of CT-numbers were obtained at predefined levels for fat, muscle, air, and the most severe artefact. Two radiologists independently reviewed 2D and 3D CTC-images and graded artefacts and image quality using a five-point-scale (1 = severe streak/no-diagnostic confidence, 5 = no streak/excellent image-quality, high-confidence). Results were compared using paired and unpaired t-tests and Wilcoxon signed-rank and Mann-Whitney-tests.

Results

Streak artefacts and image quality scores for FBP versus PICCS-MAR 2D-images (median: 1 vs. 3 and 2 vs. 3, respectively) and 3D images (median: 2 vs. 4 and 3 vs. 4, respectively) showed significant improvement after PICCS-MAR (all P < 0.001). PICCS-MAR significantly improved the accuracy of mean CT numbers for fat, muscle and the area with the most severe artefact (all P < 0.001).

Conclusions

PICCS-MAR substantially reduces streak artefacts related to THA on DICOM images, thereby enhancing visualization of anatomy on 2D and 3D CTC images and increasing diagnostic confidence.

Key Points

PICCS-MAR significantly reduces streak artefacts associated with total hip arthroplasty on 2D and 3D CTC.
PICCS-MAR significantly improves 2D and 3D CTC image quality and diagnostic confidence.
PICCS-MAR can be applied retrospectively to DICOM images from single-kVp CT.
Literature
1.
go back to reference Rubin GD (2014) Computed tomography: revolutionizing the practice of medicine for 40 years. Radiology 273:S45–S74CrossRefPubMed Rubin GD (2014) Computed tomography: revolutionizing the practice of medicine for 40 years. Radiology 273:S45–S74CrossRefPubMed
2.
go back to reference Svendsen P, Quiding L, Landahl I (1980) Blackout and other artefacts in computed tomography caused by fillings in teeth. Neuroradiology 19:229–234PubMed Svendsen P, Quiding L, Landahl I (1980) Blackout and other artefacts in computed tomography caused by fillings in teeth. Neuroradiology 19:229–234PubMed
3.
4.
go back to reference Bannas P, Habermann CR, Jung C et al (2012) Diagnostic accuracy of state-of-the-art MDCT scanners without gantry tilt in patients with oral and oropharyngeal cancer. Eur J Radiol 81:3947–3952CrossRefPubMed Bannas P, Habermann CR, Jung C et al (2012) Diagnostic accuracy of state-of-the-art MDCT scanners without gantry tilt in patients with oral and oropharyngeal cancer. Eur J Radiol 81:3947–3952CrossRefPubMed
5.
go back to reference Rinkel J, Dillon WP, Funk T, Gould R, Prevrhal S (2008) Computed tomographic metal artifact reduction for the detection and quantitation of small features near large metallic implants: a comparison of published methods. J Comput Assist Tomogr 32:621–629CrossRefPubMed Rinkel J, Dillon WP, Funk T, Gould R, Prevrhal S (2008) Computed tomographic metal artifact reduction for the detection and quantitation of small features near large metallic implants: a comparison of published methods. J Comput Assist Tomogr 32:621–629CrossRefPubMed
6.
go back to reference Bamberg F, Dierks A, Nikolaou K, Reiser MF, Becker CR, Johnson TR (2011) Metal artifact reduction by dual energy computed tomography using monoenergetic extrapolation. Eur Radiol 21:1424–1429CrossRefPubMed Bamberg F, Dierks A, Nikolaou K, Reiser MF, Becker CR, Johnson TR (2011) Metal artifact reduction by dual energy computed tomography using monoenergetic extrapolation. Eur Radiol 21:1424–1429CrossRefPubMed
7.
go back to reference Mangold S, Gatidis S, Luz O et al (2014) Single-source dual-energy computed tomography: use of monoenergetic extrapolation for a reduction of metal artifacts. Investig Radiol 49:788–793CrossRef Mangold S, Gatidis S, Luz O et al (2014) Single-source dual-energy computed tomography: use of monoenergetic extrapolation for a reduction of metal artifacts. Investig Radiol 49:788–793CrossRef
8.
go back to reference Meyer E, Raupach R, Lell M, Schmidt B, Kachelriess M (2010) Normalized metal artifact reduction (NMAR) in computed tomography. Med Phys 37:5482–5493CrossRefPubMed Meyer E, Raupach R, Lell M, Schmidt B, Kachelriess M (2010) Normalized metal artifact reduction (NMAR) in computed tomography. Med Phys 37:5482–5493CrossRefPubMed
9.
go back to reference Meyer E, Raupach R, Lell M, Schmidt B, Kachelriess M (2012) Frequency split metal artifact reduction (FSMAR) in computed tomography. Med Phys 39:1904–1916CrossRefPubMed Meyer E, Raupach R, Lell M, Schmidt B, Kachelriess M (2012) Frequency split metal artifact reduction (FSMAR) in computed tomography. Med Phys 39:1904–1916CrossRefPubMed
10.
go back to reference Veldkamp WJ, Joemai RM, van der Molen AJ, Geleijns J (2010) Development and validation of segmentation and interpolation techniques in sinograms for metal artifact suppression in CT. Med Phys 37:620–628CrossRefPubMed Veldkamp WJ, Joemai RM, van der Molen AJ, Geleijns J (2010) Development and validation of segmentation and interpolation techniques in sinograms for metal artifact suppression in CT. Med Phys 37:620–628CrossRefPubMed
11.
go back to reference Kalender WA, Hebel R, Ebersberger J (1987) Reduction of CT artifacts caused by metallic implants. Radiology 164:576–577CrossRefPubMed Kalender WA, Hebel R, Ebersberger J (1987) Reduction of CT artifacts caused by metallic implants. Radiology 164:576–577CrossRefPubMed
12.
go back to reference Glover GH, Pelc NJ (1981) An algorithm for the reduction of metal clip artifacts in CT reconstructions. Med Phys 8:799–807CrossRefPubMed Glover GH, Pelc NJ (1981) An algorithm for the reduction of metal clip artifacts in CT reconstructions. Med Phys 8:799–807CrossRefPubMed
13.
go back to reference Lell MM, Meyer E, Schmid M et al (2013) Frequency split metal artefact reduction in pelvic computed tomography. Eur Radiol 23:2137–2145CrossRefPubMed Lell MM, Meyer E, Schmid M et al (2013) Frequency split metal artefact reduction in pelvic computed tomography. Eur Radiol 23:2137–2145CrossRefPubMed
14.
go back to reference Lubner MG, Pickhardt PJ, Tang J, Chen GH (2011) Reduced image noise at low-dose multidetector CT of the abdomen with prior image constrained compressed sensing algorithm. Radiology 260:248–256CrossRefPubMed Lubner MG, Pickhardt PJ, Tang J, Chen GH (2011) Reduced image noise at low-dose multidetector CT of the abdomen with prior image constrained compressed sensing algorithm. Radiology 260:248–256CrossRefPubMed
15.
go back to reference Chen GH, Tang J, Leng S (2008) Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets. Med Phys 35:660–663CrossRefPubMedPubMedCentral Chen GH, Tang J, Leng S (2008) Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets. Med Phys 35:660–663CrossRefPubMedPubMedCentral
16.
go back to reference Bannas P, Bakke J, Patrick JL, Pickhardt PJ (2015) Automated volumetric analysis for comparison of oral sulfate solution (SUPREP) with established cathartic agents at CT colonography. Abdom Imaging 40:11–18CrossRefPubMedPubMedCentral Bannas P, Bakke J, Patrick JL, Pickhardt PJ (2015) Automated volumetric analysis for comparison of oral sulfate solution (SUPREP) with established cathartic agents at CT colonography. Abdom Imaging 40:11–18CrossRefPubMedPubMedCentral
17.
go back to reference Solomon JB, Christianson O, Samei E (2012) Quantitative comparison of noise texture across CT scanners from different manufacturers. Med Phys 39:6048–6055CrossRefPubMed Solomon JB, Christianson O, Samei E (2012) Quantitative comparison of noise texture across CT scanners from different manufacturers. Med Phys 39:6048–6055CrossRefPubMed
18.
go back to reference Guggenberger R, Winklhofer S, Osterhoff G et al (2012) Metallic artefact reduction with monoenergetic dual-energy CT: systematic ex vivo evaluation of posterior spinal fusion implants from various vendors and different spine levels. Eur Radiol 22:2357–2364CrossRefPubMed Guggenberger R, Winklhofer S, Osterhoff G et al (2012) Metallic artefact reduction with monoenergetic dual-energy CT: systematic ex vivo evaluation of posterior spinal fusion implants from various vendors and different spine levels. Eur Radiol 22:2357–2364CrossRefPubMed
19.
go back to reference Kalra MK, Maher MM, Kamath RS et al (2004) Sixteen-detector row CT of abdomen and pelvis: study for optimization of Z-axis modulation technique performed in 153 patients. Radiology 233:241–249CrossRefPubMed Kalra MK, Maher MM, Kamath RS et al (2004) Sixteen-detector row CT of abdomen and pelvis: study for optimization of Z-axis modulation technique performed in 153 patients. Radiology 233:241–249CrossRefPubMed
20.
21.
go back to reference Kidoh M, Utsunomiya D, Ikeda O et al (2015) Reduction of metallic coil artefacts in computed tomography body imaging: effects of a new single-energy metal artefact reduction algorithm. Eur Radiol. doi:10.1007/s00330-015-3950-6 Kidoh M, Utsunomiya D, Ikeda O et al (2015) Reduction of metallic coil artefacts in computed tomography body imaging: effects of a new single-energy metal artefact reduction algorithm. Eur Radiol. doi:10.​1007/​s00330-015-3950-6
22.
go back to reference Watzke O, Kalender WA (2004) A pragmatic approach to metal artifact reduction in CT: merging of metal artifact reduced images. Eur Radiol 14:849–856CrossRefPubMed Watzke O, Kalender WA (2004) A pragmatic approach to metal artifact reduction in CT: merging of metal artifact reduced images. Eur Radiol 14:849–856CrossRefPubMed
23.
go back to reference Mahnken AH, Raupach R, Wildberger JE et al (2003) A new algorithm for metal artifact reduction in computed tomography: in vitro and in vivo evaluation after total hip replacement. Investig Radiol 38:769–775CrossRef Mahnken AH, Raupach R, Wildberger JE et al (2003) A new algorithm for metal artifact reduction in computed tomography: in vitro and in vivo evaluation after total hip replacement. Investig Radiol 38:769–775CrossRef
24.
go back to reference Han SC, Chung YE, Lee YH, Park KK, Kim MJ, Kim KW (2014) Metal artifact reduction software used with abdominopelvic dual-energy CT of patients with metal hip prostheses: assessment of image quality and clinical feasibility. AJR Am J Roentgenol 203:788–795CrossRefPubMed Han SC, Chung YE, Lee YH, Park KK, Kim MJ, Kim KW (2014) Metal artifact reduction software used with abdominopelvic dual-energy CT of patients with metal hip prostheses: assessment of image quality and clinical feasibility. AJR Am J Roentgenol 203:788–795CrossRefPubMed
25.
go back to reference Morsbach F, Wurnig M, Kunz DM et al (2013) Metal artefact reduction from dental hardware in carotid CT angiography using iterative reconstructions. Eur Radiol 23:2687–2694CrossRefPubMed Morsbach F, Wurnig M, Kunz DM et al (2013) Metal artefact reduction from dental hardware in carotid CT angiography using iterative reconstructions. Eur Radiol 23:2687–2694CrossRefPubMed
Metadata
Title
Prior Image Constrained Compressed Sensing Metal Artifact Reduction (PICCS-MAR): 2D and 3D Image Quality Improvement with Hip Prostheses at CT Colonography
Authors
Peter Bannas
Yinsheng Li
Utaroh Motosugi
Ke Li
Meghan Lubner
Guang-Hong Chen
Perry J. Pickhardt
Publication date
01-07-2016
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 7/2016
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-015-4044-1

Other articles of this Issue 7/2016

European Radiology 7/2016 Go to the issue