Cited 1 times in
Metallic Component Preserving Algorithm Based on the Cerebral Computed Tomography Angiography in Aneurysm Surgery
DC Field | Value | Language |
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dc.contributor.author | 김규범 | - |
dc.contributor.author | 이수환 | - |
dc.contributor.author | 김규석 | - |
dc.date.accessioned | 2022-03-11T10:57:57Z | - |
dc.date.available | 2022-03-11T10:57:57Z | - |
dc.date.issued | 2022-01 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/188075 | - |
dc.description.abstract | The purpose of this study was to investigate the viability of the proposed method in preventing the loss of metallic components including the clip and coil in cerebral computed tomography angiography (CTA). Forty patients undergoing surgery for aneurysms carried metallic materials. The proposed method is based on conventional bone subtraction CTA (BS-CTA) system. Briefly, the position of metal components was determined using the threshold value and a region of interest (ROI). An appropriate threshold was used to separate the background from the target materials based on the Otsu method. A three-dimensional (3D) rendering was performed from the proposed BS-CTA data carrying the extracted target information. The accuracy of clip and coil region measured using the dice similarity coefficient (DSC) and bidirectional Hausdorff distance (HD) is reported. The metallic components of the proposed BS-CTA were significantly visualized in various patient cases. Quantitative evaluation using the proposed method is based on the mean DSC of 0.93 with a standard deviation (SD) of ±0.05 (e.g., maximum value = 0.99, minimum value = 0.75, 95% confidence interval (CI) = 0.91 to 0.95, and all p < 0.05). The mean HD was 1.50 voxels with an SD of ± 0.58 (e.g., maximum value = 5.95, minimum value = 0.12, 95% CI = 1.10 to 1.90, and all p < 0.05). The proposed method demonstrates effective segmentation of the metallic component and application to the existing conventional BS-CTA system. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | MDPI AG | - |
dc.relation.isPartOf | DIAGNOSTICS | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Metallic Component Preserving Algorithm Based on the Cerebral Computed Tomography Angiography in Aneurysm Surgery | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Neurosurgery (신경외과학교실) | - |
dc.contributor.googleauthor | Jina Shim | - |
dc.contributor.googleauthor | Su Hwan Lee | - |
dc.contributor.googleauthor | Youngjin Lee | - |
dc.contributor.googleauthor | Kyu Bom Kim | - |
dc.contributor.googleauthor | Kyuseok Kim | - |
dc.identifier.doi | 10.3390/diagnostics12020338 | - |
dc.contributor.localId | A06016 | - |
dc.contributor.localId | A02904 | - |
dc.contributor.localId | A06206 | - |
dc.relation.journalcode | J03798 | - |
dc.identifier.eissn | 2075-4418 | - |
dc.identifier.pmid | 35204429 | - |
dc.subject.keyword | aneurysm | - |
dc.subject.keyword | bone subtraction | - |
dc.subject.keyword | cerebral CT angiography (CTA) | - |
dc.subject.keyword | clip and coil | - |
dc.subject.keyword | performance evaluation | - |
dc.contributor.alternativeName | Kim, Kyu Bom | - |
dc.contributor.affiliatedAuthor | 김규범 | - |
dc.contributor.affiliatedAuthor | 이수환 | - |
dc.contributor.affiliatedAuthor | 김규석 | - |
dc.citation.volume | 12 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 338 | - |
dc.identifier.bibliographicCitation | DIAGNOSTICS, Vol.12(2) : 338, 2022-01 | - |
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