2018
DOI: 10.1097/rli.0000000000000460
|View full text |Cite
|
Sign up to set email alerts
|

Reduction of Artifacts Caused by Deep Brain Stimulating Electrodes in Cranial Computed Tomography Imaging by Means of Virtual Monoenergetic Images, Metal Artifact Reduction Algorithms, and Their Combination

Abstract: The investigated O-MAR algorithm reduces artifacts from DBS electrodes and should be used in the assessment of postoperative patients; however, combination with VMI does not provide an additional benefit.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
29
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 34 publications
(33 citation statements)
references
References 37 publications
1
29
0
Order By: Relevance
“…Preliminary studies showed similar artifact patterns with different scanners (Philips iQon and iCT256, Siemens Somatom Force, Toshiba Aquilion/LB). In addition, the observed artifact patterns of the orientation marker and of the segmented electrodes are still clearly visible even when using different reconstruction methods (e.g., iterative metal artifact reduction algorithm [O-MAR] or virtual monoenergetic images) [21]. Due to the small size of the lead’s anisotropic structures, however, only CT scan protocols with slice thickness < 1 mm appear reasonable.…”
Section: Discussionmentioning
confidence: 99%
“…Preliminary studies showed similar artifact patterns with different scanners (Philips iQon and iCT256, Siemens Somatom Force, Toshiba Aquilion/LB). In addition, the observed artifact patterns of the orientation marker and of the segmented electrodes are still clearly visible even when using different reconstruction methods (e.g., iterative metal artifact reduction algorithm [O-MAR] or virtual monoenergetic images) [21]. Due to the small size of the lead’s anisotropic structures, however, only CT scan protocols with slice thickness < 1 mm appear reasonable.…”
Section: Discussionmentioning
confidence: 99%
“…In all the cases described above, the segmentation process using VMI data was qualitatively reported as easier, faster, and increased the operator’s confidence in obtaining accurate anatomy. Case 4 also demonstrated how imaging artifacts could be reduced on SDCT enabling segmentation and 3D printing from otherwise unsalvageable imaging sources [1315]. The single segmentation operator commented that without the VMI data in each of the four detailed cases, the requested segmentation may not have been possible and would have resulted in either time-prohibiting manual segmentation or rescanning the desired patient anatomy.…”
Section: Discussionmentioning
confidence: 99%
“…Since the k-edge of iodine lies at 33 keV, photons with 40 keV are more likely to be absorbed resulting in increased attenuation [11]. High keV VMI can be used to reduce image artifacts due to photon starvation [1315]. These characteristics are highlighted in Additional file 1: Figure S1.…”
Section: Introductionmentioning
confidence: 99%
“…This result is likely due to advantages regarding image noise enabled by the detector-based approach. 24,31 While we compared VMI 65keV with a state-ofthe-art hybrid iterative reconstruction algorithm, whether most recent model-based image reconstructions can outperform noise reduction enabled by means of VMI remains elusive. 32 So far, only a few studies have investigated dose reduction in head imaging by means of VMI compared with polychromatic CT using a kilovolt-switching dual-energy CT system.…”
Section: Discussionmentioning
confidence: 99%