Performance assessment of displacement-field estimation of the human left atrium from 4D-CT images using the coherent point drift algorithm

Otani, Tomohiro; Shiga, Mikio; Endo, Shunsuke; Wada, Shigeo

doi:https://doi.org/10.1016/j.compbiomed.2019.103454

Performance assessment of displacement-field estimation of the human left atrium from 4D-CT images using the coherent point drift algorithm

Otani, Tomohiro; Shiga, Mikio; Endo, Shunsuke et al.

Computers in Biology and Medicine, 2019, 114, 103454

Number of Access:564（2025-11-19 01:33 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/88325

Link to primary information

File	Format	Terms of use	Size	Views	Date.Available	Description	information
CBM_114_103454	pdf	None	443 KB	175	2022.06.24	Submitted Version

Item Information

Output File Export EndNote Basic Export Mendeley

Title	Performance assessment of displacement-field estimation of the human left atrium from 4D-CT images using the coherent point drift algorithm
Creator	NRID 1000040778990 1000040778990 ORCID 0000-0002-6431-2703 0000-0002-6431-2703 researchmap permalink bigvalley bigvalley Scopus Author ID 55625962900 55625962900 CreatorName Otani, Tomohiro
	CreatorName Shiga, Mikio
	CreatorName Endo, Shunsuke
	NRID 1000070240546 1000070240546 researchmap permalink shigeo41010 shigeo41010 Scopus Author ID 7401983636 7401983636 CreatorName Wada, Shigeo
Subject	Left atrium
	Four-dimensional computed tomography (4D-CT)
	Displacement-field estimation
	Coherent point drift (CPD)
	Point set alignment
Abstract	Background: Cardiac four-dimensional computed tomography (4D-CT) imaging is a standard approach used to visualize left atrium (LA) deformation for clinical diagnosis. However, the quantitative evaluation of LA deformation from 4D-CT images is still a challenging task. We assess the performance of LA displacement-field estimation from 4D-CT images using the coherent point drift (CPD) algorithm, which is a robust point set alignment method based on the expectation–maximization (EM) algorithm. Method: Subject-specific LA surfaces at 20 phases/cardiac cycles were reconstructed from 4D-CT images and expressed as sets of triangular elements. The LA surface at the phase that maximized the LA surface area was assigned as the control LA surface and those at the other 19 phases were assigned as observed LA surfaces. The LA displacement-field was estimated by solving the alignment between the control and observation LA surfaces using CPD. Results: Global correspondences between the estimated and observed LA surfaces were successfully confirmed by quantitative evaluations using the Dice similarity coefficient and differences of surface area for all phases. The surface distances between the estimated and observed LA surfaces ranged within 2 mm, except at the left atrial appendage and boundaries, where incomplete data, such as missing or false detections, were included on the observed LA surface. We confirmed that the estimated LA surface displacement and its spatial distribution were anisotropic, which is consistent with existing clinical observations. Conclusion: These results highlight that the LA displacement field estimated by CPD robustly tracks global LA surface deformation observed in 4D-CT images.
Publisher	Elsevier
Source Title	Computers in Biology and Medicine
Volume (Issue)	114
Page	103454
Date of Issued	2019-11
Language	English
Handle URL	https://hdl.handle.net/11094/88325
PISSN	00104825
eISSN	18790534
Relation.isVersionOf	DOI (Publisher Version) https://doi.org/10.1016/j.compbiomed.2019.103454
Relation.isIdenticalTo	PMID 31563837
Access Rights	open access
oaire:version	Accepted Manuscript
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCMI Type	Text
DCTERMS.bibliographicCitation	Computers in Biology and Medicine. 2019, 114, p. 103454
DC.title	Performance assessment of displacement-field estimation of the human left atrium from 4D-CT images using the coherent point drift algorithm
DC.creator	Otani, Tomohiro
	Shiga, Mikio
	Endo, Shunsuke
	Wada, Shigeo
DC.publisher	Elsevier
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2019-11
DC.identifier	https://doi.org/10.1016/j.compbiomed.2019.103454
DC.subject	Left atrium
	Four-dimensional computed tomography (4D-CT)
	Displacement-field estimation
	Coherent point drift (CPD)
	Point set alignment
DCTERMS.abstract	Background: Cardiac four-dimensional computed tomography (4D-CT) imaging is a standard approach used to visualize left atrium (LA) deformation for clinical diagnosis. However, the quantitative evaluation of LA deformation from 4D-CT images is still a challenging task. We assess the performance of LA displacement-field estimation from 4D-CT images using the coherent point drift (CPD) algorithm, which is a robust point set alignment method based on the expectation–maximization (EM) algorithm. Method: Subject-specific LA surfaces at 20 phases/cardiac cycles were reconstructed from 4D-CT images and expressed as sets of triangular elements. The LA surface at the phase that maximized the LA surface area was assigned as the control LA surface and those at the other 19 phases were assigned as observed LA surfaces. The LA displacement-field was estimated by solving the alignment between the control and observation LA surfaces using CPD. Results: Global correspondences between the estimated and observed LA surfaces were successfully confirmed by quantitative evaluations using the Dice similarity coefficient and differences of surface area for all phases. The surface distances between the estimated and observed LA surfaces ranged within 2 mm, except at the left atrial appendage and boundaries, where incomplete data, such as missing or false detections, were included on the observed LA surface. We confirmed that the estimated LA surface displacement and its spatial distribution were anisotropic, which is consistent with existing clinical observations. Conclusion: These results highlight that the LA displacement field estimated by CPD robustly tracks global LA surface deformation observed in 4D-CT images.
DC.format	88325
citation_title	Performance assessment of displacement-field estimation of the human left atrium from 4D-CT images using the coherent point drift algorithm
citation_author	Otani, Tomohiro
	Shiga, Mikio
	Endo, Shunsuke
	Wada, Shigeo
citation_publisher	Elsevier
citation_language	English
citation_date	2019-11
citation_journal_title	Computers in Biology and Medicine
citation_volume	114
citation_firstpage	103454
citation_doi	https://doi.org/10.1016/j.compbiomed.2019.103454
citation_pmid	31563837
citation_public_url	https://hdl.handle.net/11094/88325

Performance assessment of displacement-field estimation of the human left atrium from 4D-CT images using the coherent point drift algorithm

Link to primary information

Item Information

Show details