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Technical Note: Performance evaluation of volumetric imaging based on motion modeling by principal component analysis

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Title: Technical Note: Performance evaluation of volumetric imaging based on motion modeling by principal component analysis
Authors: Asano, Suzuka Browse this author
Oseki, Keishi Browse this author
Takao, Seishin Browse this author →KAKEN DB
Miyazaki, Koichi Browse this author
Yokokawa, Kohei Browse this author
Matsuura, Taeko Browse this author →KAKEN DB
Taguchi, Hiroshi Browse this author →KAKEN DB
Katoh, Norio Browse this author →KAKEN DB
Aoyama, Hidefumi Browse this author →KAKEN DB
Umegaki, Kikuo Browse this author →KAKEN DB
Miyamoto, Naoki Browse this author →KAKEN DB
Keywords: volumetric imaging
principal component analysis
motion modeling
data augmentation
respiratory motion
Issue Date: Feb-2023
Publisher: John Wiley & Sons
Journal Title: Medical physics
Volume: 50
Issue: 2
Start Page: 993
End Page: 999
Publisher DOI: 10.1002/mp.16123
Abstract: Purpose: To quantitatively evaluate the achievable performance of volumetric imaging based on lung motion modeling by principal component analysis (PCA). Methods: In volumetric imaging based on PCA, internal deformation was represented as a linear combination of the eigenvectors derived by PCA of the deformation vector fields evaluated from patient-specific four-dimensional-computed tomography (4DCT) datasets. The volumetric image was synthesized by warping the reference CT image with a deformation vector field which was evaluated using optimal principal component coefficients (PCs). Larger PCs were hypothesized to reproduce deformations larger than those included in the original 4DCT dataset. To evaluate the reproducibility of PCA-reconstructed volumetric images synthesized to be close to the ground truth as possible, mean absolute error (MAE), structure similarity index measure (SSIM) and discrepancy of diaphragm position were evaluated using 22 4DCT datasets of nine patients. Results: Mean MAE and SSIM values for the PCA-reconstructed volumetric images were approximately 80 HU and 0.88, respectively, regardless of the respiratory phase. In most test cases including the data of which motion range was exceeding that of the modeling data, the positional error of diaphragm was less than 5 mm. The results suggested that large deformations not included in the modeling 4DCT dataset could be reproduced. Furthermore, since the first PC correlated with the displacement of the diaphragm position, the first eigenvector became the dominant factor representing the respiration-associated deformations. However, other PCs did not necessarily change with the same trend as the first PC, and no correlation was observed between the coefficients. Hence, randomly allocating or sampling these PCs in expanded ranges may be applicable to reasonably generate an augmented dataset with various deformations. Conclusions: Reasonable accuracy of image synthesis comparable to those in the previous research were shown by using clinical data. These results indicate the potential of PCA-based volumetric imaging for clinical applications.
Rights: This is the peer reviewed version of the following article: Asano, S, Oseki, K, Takao, S, et al. Technical note: Performance evaluation of volumetric imaging based on motion modeling by principal component analysis. Med Phys. 2023; 50: 993– 999, which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
Type: article (author version)
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 宮本 直樹

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