Disturbance-region removal on landmark-less registration of craniofacial images acquired by CBCT and 3D photography

Shu Yen Wan, Lun Jou Lo, Che Yao Chang

研究成果: 期刊稿件文章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Superimposition of cranio-maxillofacial images acquired from cone-beam computed tomography (CBCT) and facial images acquired from three-dimensional photography (3D photography) can assist in diagnosis and surgical planning. Conventional approaches individually identified prominent facial landmarks on both modalities, respectively and assessed their correspondence. Considering, however, variation of facial expressions or drastic feature distortion when the face or head was imaged at different timing, landmark registration can become challenging. This paper proposes a disturbance-region removal (DRR) procedure to improve the efficacy of registration. The disturbance regions (DRs) are defined as those exhibiting strong responses in the concavity intensity maps that are computed from the facial surface mesh. Following this identification process for the DRs, an adapted symmetric region growing algorithm is used to form the connected DRs that are to be removed prior to superimposition of both modalities. The results show a twenty-eight percent better match of overall correspondence of the facial fiducial markers. Instead of being the registration guides in conventional approaches, in this study the fiducial markers are employed as only a means to assess the performance of registration.

原文英語
頁(從 - 到)1-7
頁數7
期刊International Journal of Emerging Technology and Advanced Engineering
11
發行號3
DOIs
出版狀態已出版 - 03 2021

文獻附註

Publisher Copyright:
© 2021 International Journal of Emerging Technology and Advanced Engineering. All Rights Reserved.

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