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

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...

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Veröffentlicht in:	PloS one 2024-10, Vol.19 (10), p.e0309379
Hauptverfasser:	Kimura, Yuki, Ijiri, Takashi, Inamoto, Yoko, Hashimoto, Takuya, Michiwaki, Yukihiro
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biology and Life Sciences Cages Computed tomography Constraints CT imaging Deformation Deglutition - physiology Evaluation Four-Dimensional Computed Tomography - methods Free form Humans Image processing Image Processing, Computer-Assisted - methods Image segmentation Imaging, Three-Dimensional - methods Larynx Medical imaging Medical research Medicine and Health Sciences Methods Mouth Neural networks Physical Sciences Research and Analysis Methods Segmentation Swallowing Time measurement Tomography Tomography, X-Ray Computed - methods Tongue Visualization
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