scholarly journals Evaluation of CT Angiography Image Quality Acquired with Single-Energy Metal Artifact Reduction (SEMAR) Algorithm in Patients After Complex Endovascular Aortic Repair

2017 ◽  
Vol 41 (2) ◽  
pp. 323-329 ◽  
Author(s):  
M. A. A. D. Ragusi ◽  
R. W. van der Meer ◽  
R. M. S. Joemai ◽  
J. van Schaik ◽  
C. S. P. van Rijswijk
Keyword(s):  
Image Quality ◽  
Ct Angiography ◽  
Endovascular Aortic Repair ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Aortic Repair

Dual energy CT angiography: pros and cons of dual-energy metal artifact reduction algorithm in patients after endovascular aortic repair

2016 ◽  
Vol 42 (3) ◽  
pp. 749-758 ◽  
Author(s):  
Johannes Boos ◽  
Jieming Fang ◽  
Benedikt H. Heidinger ◽  
Vassilios Raptopoulos ◽  
Olga R. Brook
Keyword(s):  
Ct Angiography ◽  
Dual Energy ◽  
Endovascular Aortic Repair ◽  
Dual Energy Ct ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Reduction Algorithm ◽  
Aortic Repair ◽  
Pros And Cons

Follow-up CT and CT angiography after intracranial aneurysm clipping and coiling—improved image quality by iterative metal artifact reduction

2017 ◽  
Vol 59 (7) ◽  
pp. 649-654 ◽  
Author(s):  
Georg Bier ◽  
Malte Niklas Bongers ◽  
Johann-Martin Hempel ◽  
Anja Örgel ◽  
Till-Karsten Hauser ◽  
...  
Keyword(s):  
Image Quality ◽  
Intracranial Aneurysm ◽  
Ct Angiography ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Aneurysm Clipping

scholarly journals Metal Artifact Reduction for Orthopedic Implants: Brain CT Angiography in Patients with Intracranial Metallic Implants

2018 ◽  
Vol 33 (21) ◽  
Author(s):  
Leonard Sunwoo ◽  
Sun-Won Park ◽  
Jung Hyo Rhim ◽  
Yeonah Kang ◽  
Young Seob Chung ◽  
...  
Keyword(s):  
Ct Angiography ◽  
Orthopedic Implants ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Brain Ct ◽  
Metallic Implants

Impact of metal artifact reduction software on image quality of gemstone spectral imaging dual-energy cerebral CT angiography after intracranial aneurysm clipping

2017 ◽  
Vol 59 (9) ◽  
pp. 845-852 ◽  
Author(s):  
Vincent Dunet ◽  
Martine Bernasconi ◽  
Steven David Hajdu ◽  
Reto Antoine Meuli ◽  
Roy Thomas Daniel ◽  
...  
Keyword(s):  
Image Quality ◽  
Intracranial Aneurysm ◽  
Dual Energy ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Aneurysm Clipping ◽  
Gemstone Spectral Imaging ◽  
Cerebral Ct Angiography

Single-energy metal artifact reduction technique for reducing metallic coil artifacts on post-interventional cerebral CT and CT angiography

2018 ◽  
Vol 60 (11) ◽  
pp. 1141-1150 ◽  
Author(s):  
Masaki Katsura ◽  
Jiro Sato ◽  
Masaaki Akahane ◽  
Taku Tajima ◽  
Toshihiro Furuta ◽  
...  
Keyword(s):  
Ct Angiography ◽  
Reduction Technique ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction

scholarly journals Effect of metal artifact reduction software on image quality of C-arm cone-beam computed tomography during intracranial aneurysm treatment

2018 ◽  
Vol 24 (3) ◽  
pp. 303-308 ◽  
Author(s):  
Yukiko Enomoto ◽  
Keita Yamauchi ◽  
Takahiko Asano ◽  
Katharina Otani ◽  
Toru Iwama
Keyword(s):  
Computed Tomography ◽  
Image Quality ◽  
Intracranial Aneurysms ◽  
Clinical Findings ◽  
Cone Beam ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Cbct Image

Background and purpose C-arm cone-beam computed tomography (CBCT) has the drawback that image quality is degraded by artifacts caused by implanted metal objects. We evaluated whether metal artifact reduction (MAR) prototype software can improve the subjective image quality of CBCT images of patients with intracranial aneurysms treated with coils or clips. Materials and methods Forty-four patients with intracranial aneurysms implanted with coils (40 patients) or clips (four patients) underwent one CBCT scan from which uncorrected and MAR-corrected CBCT image datasets were reconstructed. Three blinded readers evaluated the image quality of the image sets using a four-point scale (1: Excellent, 2: Good, 3: Poor, 4: Bad). The median scores of the three readers of uncorrected and MAR-corrected images were compared with the paired Wilcoxon signed-rank and inter-reader agreement of change scores was assessed by weighted kappa statistics. The readers also recorded new clinical findings, such as intracranial hemorrhage, air, or surrounding anatomical structures on MAR-corrected images. Results The image quality of MAR-corrected CBCT images was significantly improved compared with the uncorrected CBCT image ( p < 0.001). Additional clinical findings were seen on CBCT images of 70.4% of patients after MAR correction. Conclusion MAR software improved image quality of CBCT images degraded by metal artifacts.

scholarly journals Evaluation of the quality of CT images acquired with smart metal artifact reduction software

2018 ◽  
Vol 13 (1) ◽  
pp. 155-162 ◽  
Author(s):  
Peng Zhou ◽  
Chunling Zhang ◽  
Zhen Gao ◽  
Wangshu Cai ◽  
Deyue Yan ◽  
...  
Keyword(s):  
Image Quality ◽  
Quantitative Assessment ◽  
Objective Assessment ◽  
Ct Images ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Metal Artifacts ◽  
Embolization Coil

AbstractObjectiveTo evaluate the practical effectiveness of smart metal artifact reduction (SMAR) in reducing artifacts caused by metallic implants.MethodsPatients with metal implants underwent computed tomography (CT) examinations on high definition CT scanner, and the data were reconstructed with adaptive statistical iterative reconstruction (ASiR) with value weighted to 40% and smart metal artifact reduction (SMAR) technology. The comparison was assessed by both subjective and objective assessment between the two groups of images. In terms of subjective assessment, three radiologists evaluated image quality and assigned a score for visualization of anatomic structures in the critical areas of interest. Objectively, the absolute CT value of the difference (ΔCT) and artifacts index (AI) were adopted in this study for the quantitative assessment of metal artifacts.ResultsIn subjective image quality assessment, three radiologists scored SMAR images higher than 40% ASiR images (P<0.01) and the result suggested that visualization of critical anatomic structures around the region of the metal object was significantly improved by using SMAR compared with 40% ASiR. The ΔCT and AI for quantitative assessment of metal artifacts showed that SMAR appeared to be superior for reducing metal artifacts (P<0.05) and indicated that this technical approach was more effective in improving the quality of CT images.ConclusionA variety of hardware (dental filling, embolization coil, instrumented spine, hip implant, knee implant) are processed with the SMAR algorithm to demonstrate good recovery of soft tissue around the metal. This artifact reduction allows for the clearer visualization of structures hidden underneath.

scholarly journals Metal About the Hip and Artifact Reduction Techniques: From Basic Concepts to Advanced Imaging

2019 ◽  
Vol 23 (03) ◽  
pp. e68-e81 ◽  
Author(s):  
Iman Khodarahmi ◽  
Amanda Isaac ◽  
Elliot K. Fishman ◽  
Danoob Dalili ◽  
Jan Fritz
Keyword(s):  
Image Quality ◽  
Pulse Sequences ◽  
Dual Energy Ct ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Reconstruction Algorithms ◽  
Radiographic Findings ◽  
Reduction Techniques ◽  
Ct Data

AbstractPromising outcomes of hip replacement interventions in this era of aging populations have led to higher demands for hip arthroplasty procedures. These require effective methods and techniques for the detection of postoperative outcomes and complications. Based on the presence or absence of radiographic findings, magnetic resonance imaging (MRI) and computed tomography (CT) may be required to detect and further characterize different causes of failing implants. Yet metal-related artifacts degrade image quality and pose significant challenges for adequate image quality. To mitigate such artifacts in MRI, a set of techniques, collectively known as metal artifact reduction sequence (MARS) MRI, were developed that optimize the framework of the conventional pulse sequences and exploit novel multispectral and multispatial imaging methods such as Slice Encoding for Metal Artifact Correction (SEMAC) and Multi-Acquisition Variable-Resonance Image Combination (MAVRIC). Metal-induced artifacts on CT can be effectively reduced with virtual monochromatic reconstruction of dual-energy CT data sets, metal artifact reduction reconstruction algorithms, and postprocessing image visualization techniques.

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