Interactive segmentation with curve-based template deformation for spatiotemporal computed tomography of swallowing motion

Yuki Kimura, Takashi Ijiri, Yoko Inamoto, Takuya Hashimoto and Yukihiro Michiwaki

PLOS ONE, 2024, vol. 19, issue 10, 1-16

Abstract: Repeating X-ray computed tomography (CT) measurements over a short period of time allows for obtaining a spatiotemporal four-dimensional (4D) volume image. This study presents an interactive method for segmenting a 4DCT image by fitting a template model to a target organ. The template consists of a three-dimensional (3D) mesh model and free-form-deformation (FFD) cage enclosing the mesh. The user deforms the template by placing multiple curve constraints that specify the boundary shape of the template in 3D space. We also present curve constraints shared over all time frames and interpolated along the time axis to facilitate efficient curve specification. Our method formulates the template deformation using the FFD cage modification, allowing the user to switch between our curve-based method and traditional FFD at any time. To illustrate the feasibility of our method, we show segmentation results in which we could accurately segment three organs from a 4DCT image capturing a swallowing motion. To evaluate the usability of our method, we conducted a user study comparing our curve-based method with the cage-based FFD. We found that the participants finished segmentation in approximately 20% interaction time periods on average with our method.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0309379

DOI: 10.1371/journal.pone.0309379

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