Reduction of dental filling metallic artifacts in CT‐based attenuation correction of PET data using weighted virtual sinograms optimized by a genetic algorithm

Abdoli, Mehrsima; Ay, Mohammad Reza; Ahmadian, Alireza; Dierckx, Rudi; Zaidi, Habib

doi:10.1118/1.3511507

Cited by 91 publications

(97 citation statements)

References 20 publications

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“…More elaborate strategies include monoenergetic processing of dual-energy CT data, which works nicely for surgical plates and implants, 11,12 but its effect is limited with dental hardware. Sinogram in-painting methods 8,13,14 and iterative, 15,16 statistical, 17,18 and filtering methods 13,19 have been suggested, but for various reasons, they have not made their way into clinical practice. NMAR is an in-painting-based MAR method that is designed to reduce metal artifacts and to prevent the introduction of new artifacts by replacing raw data from the metal trace more reliably.…”

Section: Discussionmentioning

confidence: 99%

Improved Image Quality in Head and Neck CT Using a 3D Iterative Approach to Reduce Metal Artifact

Wuest

May

Brand

et al. 2015

AJNR Am J Neuroradiol

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Section: Discussionmentioning

confidence: 99%

Improved Image Quality in Head and Neck CT Using a 3D Iterative Approach to Reduce Metal Artifact

Wuest

May

Brand

et al. 2015

AJNR Am J Neuroradiol

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“…One of the first completion methods used was linear interpolation. 11 Based on this approach, more number of advanced techniques were proposed, such as cubic spline interpolation, 12 wavelet coefficient interpolation 13 and inpainting techniques to obtain a better visualization. [14][15][16] Generally, interpolation approach compensates missing data and improves image quality with lower computational overhead compared with iterative reconstruction.…”

Section: Introductionmentioning

confidence: 99%

“…These mainly involve manipulating X-ray energies, such as dual-energy acquisition techniques, 5 highenergy X-rays 6,7 and image processing, such as iterative reconstruction methods [8][9][10] or interpolation of metal object. [11][12][13][14][15][16] The majority of image processing approach treats the projections on metal objects which were segmented from sinograms or images as a corrupt or missing data. In the iterative reconstruction methods, the missing data are ignoring or reducing statistical contributions from image reconstruction calculation.…”

Section: Introductionmentioning

confidence: 99%

Single-energy metal artefact reduction with CT for carbon-ion radiation therapy treatment planning

Miki¹,

Mori²,

Hasegawa³

et al. 2016

BJR

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Objective: One approach to improving image quality of CT is to use metal artefact reduction image processing, such as single-energy metal artefact reduction (SEMAR). To quantify the impact of image correction on the quality of carbon-ion dose distribution, treatment planning using SEMAR was evaluated. Methods: Using a head phantom into which metal screws could be inserted, we acquired standard planning CT images. We calculated dose distributions using phantom images with and without metal added, and with and without SEMAR. Hounsfield unit (HU) and dose distribution variation of these images with and without SEMAR were measured using metal-free image subtraction. We similarly analysed the image data sets of two patients with head and neck cancer who had dental implants. Results: HU difference between metal-containing images and metal-free images without and with SEMAR were 279.5 6 97.2 HU and 21.4 6 19.5 HU on severe artefact area, respectively. The range of dose distribution difference from the prescribed dose between uncorrected and SEMAR-corrected images varied from 219.5% to 23.4% within planning target volume (PTV). PTV-D 95 (%) for uncorrected and SEMAR-corrected image data were 82.4% and 95.4%, respectively. For data in patients with metal dental work, PTV-D 95 (%) for uncorrected and SEMAR-corrected data were 92.2% and 92.5% (Patient 1), and 90.9% and 95.7% (Patient 2), respectively. Conclusion: SEMAR algorithm shows promise in improving CT image quality and in ensuring an accurate representation of dose distribution.

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“…Qualitative and quantitative assessment proved that the devices powered by newly introduced battery compositions induce less severe streak artifacts. The reduction of streak artifacts of pacemakers and defibrillators calls for a more robust metal artifact reduction algorithm outperforming the MAR algorithm used in this work [22]. However, further assessment of the performance of this algorithm in clinical setting is still required.…”

Section: Resultsmentioning

confidence: 99%

Qualitative and Quantitative Assessment of Metal Artifacts Arising from Implantable Cardiac Pacing Devices in Oncological PET/CT Studies: A Phantom Study

Mehranian

Abdoli

et al. 2011

Mol Imaging Biol

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Purpose: We evaluate the magnitude of metallic artifacts caused by various implantable cardiac pacing devices (without leads) on both attenuation maps (μ-maps) and positron emission tomography (PET) images using experimental phantom studies. We also assess the efficacy of a metal artifact reduction (MAR) algorithm along with the severity of artifacts in the presence of misalignment between μ-maps and PET images. Methods: Four pacing devices including two pacemakers (pacemakers 1 and 2) and two cardiac resynchronization therapy (CRT) devices of pacemaker (CRT-P) and defibrillator (CRT-D) type were placed in three phantoms including a cylindrical Ge-68 phantom, a water-bath phantom and an anthropomorphic heart/thorax phantom. The μ-maps were derived from computed tomography (CT) images reconstructed using the standard method supplied by the manufacturer and those reconstructed using the MAR algorithm. In addition, the standard reconstructed CT images of the last two phantoms were manually misaligned by 10 mm along the patient's axis to simulate misalignment between CT and PET images. Results: The least and severest artifacts produced on both μ-maps and PET images of the Ge-68 phantom were induced by CRT-P and pacemaker 1 devices, respectively. In the water-bath phantom, CRT-P induced 17.5% over-and 9.2% underestimation of tracer uptake whereas pacemaker 1 induced 69.6% over-and 65.7% underestimation. In the heart/thorax phantom representing a pacemaker-bearing patient, pacemaker 1 induced 41.8% increase and 36.6% decrease in tracer uptake and attenuation coefficients on average in regions corresponding to bright and dark streak artifacts, respectively. Statistical analysis revealed that the MAR algorithm was successful in reducing bright streak artifacts, yet unsuccessful for dark ones. In the heart/thorax phantom, the MAR algorithm reduced the overestimations to 4.4% and the underestimations to 35.5% on average. Misalignment between μ-maps and PET images increased the peak of pseudo-uptake by approximately 20%.Correspondence to: Mohammad R. Ay; e-mail: mohammadreza_ay@tums.ac.irConclusions: This study demonstrated that, depending on their elemental composition, different implantable cardiac pacing devices result in varying magnitudes of metal artifacts and thus pseudo-uptake on PET images. The MAR algorithm was not successful in compensating for underestimations which calls for a more efficient algorithm. The results showed that misalignments between PET and CT images render metal-related pseudo-uptake more severe.

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Reduction of dental filling metallic artifacts in CT‐based attenuation correction of PET data using weighted virtual sinograms optimized by a genetic algorithm

Abstract: The proposed MAR algorithm improves the quality and quantitative accuracy of clinical head and neck PET/CT images and could be easily integrated in clinical setting.

Cited by 91 publications

References 20 publications

Improved Image Quality in Head and Neck CT Using a 3D Iterative Approach to Reduce Metal Artifact

Improved Image Quality in Head and Neck CT Using a 3D Iterative Approach to Reduce Metal Artifact

Single-energy metal artefact reduction with CT for carbon-ion radiation therapy treatment planning

Qualitative and Quantitative Assessment of Metal Artifacts Arising from Implantable Cardiac Pacing Devices in Oncological PET/CT Studies: A Phantom Study

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