Evaluation of a Motion Correction Algorithm for C-Arm Computed Tomography Acquired During Transarterial Chemoembolization
Purpose The aim of this retrospective study was to evaluate the feasibility of a motion correction 3D reconstruction prototype technique for C-arm computed tomography (CACT). Material and Methods We included 65 consecutive CACTs acquired during transarterial chemoembolization of 54 patients (47 m,7f...
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| Vydáno v: | Cardiovascular and interventional radiology Ročník 44; číslo 4; s. 610 - 618 |
|---|---|
| Hlavní autoři: | , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
Springer US
01.04.2021
Springer Nature B.V |
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| ISSN: | 0174-1551, 1432-086X, 1432-086X |
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| Abstract | Purpose
The aim of this retrospective study was to evaluate the feasibility of a motion correction 3D reconstruction prototype technique for C-arm computed tomography (CACT).
Material and Methods
We included 65 consecutive CACTs acquired during transarterial chemoembolization of 54 patients (47 m,7f; 67 ± 11.3 years). All original raw datasets (CACT
Org
) underwent reconstruction with and without volume punching of high-contrast objects using a 3D image reconstruction software to compensate for motion (CACT
MC_bone
;CACT
MC_no bone
). Subsequently, the effect on image quality (IQ) was evaluated using objective (image sharpness metric) and subjective criteria. Subjective criteria were defined by vessel geometry, overall IQ, delineation of tumor feeders, the presence of foreign material-induced artifacts and need for additional imaging, assessed by two independent readers on a 3-(vessel geometry and overall IQ) or 2-point scale, respectively. Friedman rank-sum test and post hoc analysis in form of pairwise Wilcoxon signed-rank test were computed and inter-observer agreement analyzed using kappa test.
Results
Objective IQ as defined by an image sharpness metric, increased from 273.5 ± 28 (CACT
Org
) to 328.5 ± 55.1 (CACT
MC_bone
) and 331 ± 57.8 (CACT
MC_no bone
; all
p
< 0.0001). These results could largely be confirmed by the subjective analysis, which demonstrated predominantly good and moderate inter-observer agreement, with best agreement for CACT
MC_no bone
in all categories (e.g.,
vessel geometry
: CACT
Org
:
κ
= 0.51, CACT
MC_bone
:
κ
= 0.42, CACT
MC_no bone
:
κ
= 0.69).
Conclusion
The application of a motion correction algorithm was feasible for all data sets and led to an increase in both objective and subjective IQ parameters.
Level of Evidence
3 |
|---|---|
| AbstractList | PurposeThe aim of this retrospective study was to evaluate the feasibility of a motion correction 3D reconstruction prototype technique for C-arm computed tomography (CACT).Material and MethodsWe included 65 consecutive CACTs acquired during transarterial chemoembolization of 54 patients (47 m,7f; 67 ± 11.3 years). All original raw datasets (CACTOrg) underwent reconstruction with and without volume punching of high-contrast objects using a 3D image reconstruction software to compensate for motion (CACTMC_bone;CACTMC_no bone). Subsequently, the effect on image quality (IQ) was evaluated using objective (image sharpness metric) and subjective criteria. Subjective criteria were defined by vessel geometry, overall IQ, delineation of tumor feeders, the presence of foreign material-induced artifacts and need for additional imaging, assessed by two independent readers on a 3-(vessel geometry and overall IQ) or 2-point scale, respectively. Friedman rank-sum test and post hoc analysis in form of pairwise Wilcoxon signed-rank test were computed and inter-observer agreement analyzed using kappa test.ResultsObjective IQ as defined by an image sharpness metric, increased from 273.5 ± 28 (CACTOrg) to 328.5 ± 55.1 (CACTMC_bone) and 331 ± 57.8 (CACTMC_no bone; all p < 0.0001). These results could largely be confirmed by the subjective analysis, which demonstrated predominantly good and moderate inter-observer agreement, with best agreement for CACTMC_no bone in all categories (e.g., vessel geometry: CACTOrg: κ = 0.51, CACTMC_bone: κ = 0.42, CACTMC_no bone: κ = 0.69).ConclusionThe application of a motion correction algorithm was feasible for all data sets and led to an increase in both objective and subjective IQ parameters.Level of Evidence3 The aim of this retrospective study was to evaluate the feasibility of a motion correction 3D reconstruction prototype technique for C-arm computed tomography (CACT).PURPOSEThe aim of this retrospective study was to evaluate the feasibility of a motion correction 3D reconstruction prototype technique for C-arm computed tomography (CACT).We included 65 consecutive CACTs acquired during transarterial chemoembolization of 54 patients (47 m,7f; 67 ± 11.3 years). All original raw datasets (CACTOrg) underwent reconstruction with and without volume punching of high-contrast objects using a 3D image reconstruction software to compensate for motion (CACTMC_bone;CACTMC_no bone). Subsequently, the effect on image quality (IQ) was evaluated using objective (image sharpness metric) and subjective criteria. Subjective criteria were defined by vessel geometry, overall IQ, delineation of tumor feeders, the presence of foreign material-induced artifacts and need for additional imaging, assessed by two independent readers on a 3-(vessel geometry and overall IQ) or 2-point scale, respectively. Friedman rank-sum test and post hoc analysis in form of pairwise Wilcoxon signed-rank test were computed and inter-observer agreement analyzed using kappa test.MATERIAL AND METHODSWe included 65 consecutive CACTs acquired during transarterial chemoembolization of 54 patients (47 m,7f; 67 ± 11.3 years). All original raw datasets (CACTOrg) underwent reconstruction with and without volume punching of high-contrast objects using a 3D image reconstruction software to compensate for motion (CACTMC_bone;CACTMC_no bone). Subsequently, the effect on image quality (IQ) was evaluated using objective (image sharpness metric) and subjective criteria. Subjective criteria were defined by vessel geometry, overall IQ, delineation of tumor feeders, the presence of foreign material-induced artifacts and need for additional imaging, assessed by two independent readers on a 3-(vessel geometry and overall IQ) or 2-point scale, respectively. Friedman rank-sum test and post hoc analysis in form of pairwise Wilcoxon signed-rank test were computed and inter-observer agreement analyzed using kappa test.Objective IQ as defined by an image sharpness metric, increased from 273.5 ± 28 (CACTOrg) to 328.5 ± 55.1 (CACTMC_bone) and 331 ± 57.8 (CACTMC_no bone; all p < 0.0001). These results could largely be confirmed by the subjective analysis, which demonstrated predominantly good and moderate inter-observer agreement, with best agreement for CACTMC_no bone in all categories (e.g., vessel geometry: CACTOrg: κ = 0.51, CACTMC_bone: κ = 0.42, CACTMC_no bone: κ = 0.69).RESULTSObjective IQ as defined by an image sharpness metric, increased from 273.5 ± 28 (CACTOrg) to 328.5 ± 55.1 (CACTMC_bone) and 331 ± 57.8 (CACTMC_no bone; all p < 0.0001). These results could largely be confirmed by the subjective analysis, which demonstrated predominantly good and moderate inter-observer agreement, with best agreement for CACTMC_no bone in all categories (e.g., vessel geometry: CACTOrg: κ = 0.51, CACTMC_bone: κ = 0.42, CACTMC_no bone: κ = 0.69).The application of a motion correction algorithm was feasible for all data sets and led to an increase in both objective and subjective IQ parameters.CONCLUSIONThe application of a motion correction algorithm was feasible for all data sets and led to an increase in both objective and subjective IQ parameters.3.LEVEL OF EVIDENCE3. Purpose The aim of this retrospective study was to evaluate the feasibility of a motion correction 3D reconstruction prototype technique for C-arm computed tomography (CACT). Material and Methods We included 65 consecutive CACTs acquired during transarterial chemoembolization of 54 patients (47 m,7f; 67 ± 11.3 years). All original raw datasets (CACT Org ) underwent reconstruction with and without volume punching of high-contrast objects using a 3D image reconstruction software to compensate for motion (CACT MC_bone ;CACT MC_no bone ). Subsequently, the effect on image quality (IQ) was evaluated using objective (image sharpness metric) and subjective criteria. Subjective criteria were defined by vessel geometry, overall IQ, delineation of tumor feeders, the presence of foreign material-induced artifacts and need for additional imaging, assessed by two independent readers on a 3-(vessel geometry and overall IQ) or 2-point scale, respectively. Friedman rank-sum test and post hoc analysis in form of pairwise Wilcoxon signed-rank test were computed and inter-observer agreement analyzed using kappa test. Results Objective IQ as defined by an image sharpness metric, increased from 273.5 ± 28 (CACT Org ) to 328.5 ± 55.1 (CACT MC_bone ) and 331 ± 57.8 (CACT MC_no bone ; all p < 0.0001). These results could largely be confirmed by the subjective analysis, which demonstrated predominantly good and moderate inter-observer agreement, with best agreement for CACT MC_no bone in all categories (e.g., vessel geometry : CACT Org : κ = 0.51, CACT MC_bone : κ = 0.42, CACT MC_no bone : κ = 0.69). Conclusion The application of a motion correction algorithm was feasible for all data sets and led to an increase in both objective and subjective IQ parameters. Level of Evidence 3 The aim of this retrospective study was to evaluate the feasibility of a motion correction 3D reconstruction prototype technique for C-arm computed tomography (CACT). We included 65 consecutive CACTs acquired during transarterial chemoembolization of 54 patients (47 m,7f; 67 ± 11.3 years). All original raw datasets (CACT ) underwent reconstruction with and without volume punching of high-contrast objects using a 3D image reconstruction software to compensate for motion (CACT ;CACT ). Subsequently, the effect on image quality (IQ) was evaluated using objective (image sharpness metric) and subjective criteria. Subjective criteria were defined by vessel geometry, overall IQ, delineation of tumor feeders, the presence of foreign material-induced artifacts and need for additional imaging, assessed by two independent readers on a 3-(vessel geometry and overall IQ) or 2-point scale, respectively. Friedman rank-sum test and post hoc analysis in form of pairwise Wilcoxon signed-rank test were computed and inter-observer agreement analyzed using kappa test. Objective IQ as defined by an image sharpness metric, increased from 273.5 ± 28 (CACT ) to 328.5 ± 55.1 (CACT ) and 331 ± 57.8 (CACT ; all p < 0.0001). These results could largely be confirmed by the subjective analysis, which demonstrated predominantly good and moderate inter-observer agreement, with best agreement for CACT in all categories (e.g., vessel geometry: CACT : κ = 0.51, CACT : κ = 0.42, CACT : κ = 0.69). The application of a motion correction algorithm was feasible for all data sets and led to an increase in both objective and subjective IQ parameters. 3. |
| Author | Dewald, Cornelia L. A. Becker, Lena S. Wacker, Frank von Falck, Christian Hinrichs, Jan B. Kloeckner, Roman Maschke, Sabine K. Gutberlet, Marcel Werncke, Thomas Vogel, Arndt Meyer, Bernhard C. |
| Author_xml | – sequence: 1 givenname: Lena S. surname: Becker fullname: Becker, Lena S. organization: Department of Diagnostic and Interventional Radiology, Institute for Diagnostic and Interventional Radiology, Hannover Medical School – sequence: 2 givenname: Marcel surname: Gutberlet fullname: Gutberlet, Marcel organization: Department of Diagnostic and Interventional Radiology, Institute for Diagnostic and Interventional Radiology, Hannover Medical School – sequence: 3 givenname: Sabine K. surname: Maschke fullname: Maschke, Sabine K. organization: Department of Diagnostic and Interventional Radiology, Institute for Diagnostic and Interventional Radiology, Hannover Medical School – sequence: 4 givenname: Thomas surname: Werncke fullname: Werncke, Thomas organization: Department of Diagnostic and Interventional Radiology, Institute for Diagnostic and Interventional Radiology, Hannover Medical School – sequence: 5 givenname: Cornelia L. A. surname: Dewald fullname: Dewald, Cornelia L. A. organization: Department of Diagnostic and Interventional Radiology, Institute for Diagnostic and Interventional Radiology, Hannover Medical School – sequence: 6 givenname: Christian surname: von Falck fullname: von Falck, Christian organization: Department of Diagnostic and Interventional Radiology, Institute for Diagnostic and Interventional Radiology, Hannover Medical School – sequence: 7 givenname: Arndt surname: Vogel fullname: Vogel, Arndt organization: Department of Gastroenterology and Hepatology, Hannover Medical School – sequence: 8 givenname: Roman surname: Kloeckner fullname: Kloeckner, Roman organization: Department of Diagnostic and Interventional Radiology, Johannes Gutenberg-University Medical Centre – sequence: 9 givenname: Bernhard C. surname: Meyer fullname: Meyer, Bernhard C. organization: Department of Diagnostic and Interventional Radiology, Institute for Diagnostic and Interventional Radiology, Hannover Medical School – sequence: 10 givenname: Frank surname: Wacker fullname: Wacker, Frank organization: Department of Diagnostic and Interventional Radiology, Institute for Diagnostic and Interventional Radiology, Hannover Medical School – sequence: 11 givenname: Jan B. orcidid: 0000-0002-0135-7082 surname: Hinrichs fullname: Hinrichs, Jan B. email: Hinrichs.jan@mh-hannover.de organization: Department of Diagnostic and Interventional Radiology, Institute for Diagnostic and Interventional Radiology, Hannover Medical School |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33280058$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1002_jmrs_760 crossref_primary_10_1186_s40644_022_00473_3 crossref_primary_10_1016_j_acra_2023_12_030 crossref_primary_10_1016_j_ejrad_2022_110598 crossref_primary_10_1016_j_engmed_2025_100075 crossref_primary_10_1016_j_jvir_2022_07_002 crossref_primary_10_1007_s00270_022_03157_4 |
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| Keywords | Motion correction Cone beam computed tomography Angiography C-arm computed tomography Transarterial chemoembolization |
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| SubjectTerms | Algorithms Cardiology Chemoembolization Clinical Investigation Computed tomography Geometry Image processing Imaging Medicine Medicine & Public Health Nuclear Medicine Radiology Ultrasound |
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| Title | Evaluation of a Motion Correction Algorithm for C-Arm Computed Tomography Acquired During Transarterial Chemoembolization |
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