https://scholars.lib.ntu.edu.tw/handle/123456789/604251
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Su S.-T | en_US |
dc.contributor.author | MING-CHIH HO | en_US |
dc.contributor.author | Yen J.-Y | en_US |
dc.contributor.author | YUNG-YAW CHEN | en_US |
dc.date.accessioned | 2022-04-14T08:47:26Z | - |
dc.date.available | 2022-04-14T08:47:26Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 2168-1163 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/604251 | - |
dc.description.abstract | The objective is to validate lung image registration using the featured surface matching method. The method can be applied to volume-to-surface deformable image registration, which is the 3D volume image to be deformed and aligned with a 3D surface image. Curvature variation extracts the surface feature. A group of neighbour curvature variations forms a local surface feature. A surface-matching scheme uses the local surface feature to determine the correspondence between two surface points. A finite element model uses the surface point correspondence to propagate the surface displacement into internal tissues and determine the intraoperative landmark locations from the deformed image. The validation uses the publicly available DIRLAB and POPI datasets to assess target registration errors. The work shows that the target registration error is 1.88 ± 1.16 mm, 4.77 ± 2.59 mm, and 4.12 ± 2.22 mm, and the initial error is 4.01 ± 2.91 mm, 11.10 ± 6.98 mm, 11.66 ± 6.23 mm for DIRLAB lung #1, DIRLAB lung #6 and POPI lung #1, respectively. The proposed method outperforms the average of other methods. The proposed novel surface matching method is feasible and validated. | en_US |
dc.publisher | TAYLOR & FRANCIS LTD | en_US |
dc.relation.ispartof | COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION | en_US |
dc.subject | Deformable models; finite element analysis; image registration; DEFORMABLE REGISTRATION; MOTION | en_US |
dc.title | Lung image registration by featured surface matching method | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1080/21681163.2021.2019614 | - |
dc.identifier.scopus | 2-s2.0-85122483092 | - |
dc.identifier.isi | WOS:000740108200001 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85122483092 | - |
dc.relation.pageend | 10 | en_US |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
item.openairetype | journal article | - |
item.grantfulltext | none | - |
crisitem.author.dept | Surgery-NTUH | - |
crisitem.author.dept | Surgery | - |
crisitem.author.dept | Surgery-NTUHBH | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | FinTech Center | - |
crisitem.author.orcid | 0000-0003-3660-1062 | - |
crisitem.author.orcid | 0000-0002-7611-4384 | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | National Taiwan University Hospital Bei-Hu Branch | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
Appears in Collections: | 醫學系 |
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