A new model construction of deglutition using high resolution 3DCT images

2020 Fiscal Year Final Research Report

• Project/Area Number: 18K09706
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 57050:Prosthodontics-related
• Research Institution: Iwate Medical University
• Principal Investigator: Sahara Yoshinori 岩手医科大学, 歯学部, 教授 (40206008)
• Co-Investigator(Kenkyū-buntansha): 道脇 幸博 昭和大学, 歯学部, 兼任講師 (40157540) ; 千葉 俊美 岩手医科大学, 歯学部, 教授 (40254784) ; 橋本 卓弥 東京理科大学, 工学部機械工学科, 講師 (60548163)
• Project Period (FY): 2018-04-01 – 2021-03-31
• Keywords: 嚥下 / 画像解析 / コンピュターシュミレーション

Outline of Final Research Achievements

During swallowing a large number of organs work in a coordinated manner, yet medical images taken by CT or VF can hardly visualize the complex motion of swallowing with sufficient temporal and spatial resolution. Taking use of 3D images by a 320ADCT with a newly developed segmentation method, we have visualized not only bolus, bone and cartilage, but also soft tissues. We have also successfully simulated hyoid muscles activities and laryngeal muscles activities during a whole sequence of swallowing with different algorithms. These results could help further understanding of the mechanism of deglutition and aspiration.

Free Research Field

生理学

Academic Significance and Societal Importance of the Research Achievements

嚥下研究において、①医用画像（CT,VF, MRI）と解剖の知識を統合した生体モデル、②嚥下時の生体現象を数理モデル化、③嚥下時の食品データを数理モデル化し、コンピュータ・シミュレーションがおこなわれてきた。320列面検出型CTによる高精度、高分解能３次元画像を基にした精緻なモデルは、嚥下の研究・臨床での利用価値は高く、関連する様々な分野で有効なツールになり得ると予想される。