| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2025-03-24 |
| タイトル |
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タイトル |
Vision-based estimation of manipulation forces by deep learning of laparoscopic surgical images obtained in a porcine excised kidney experiment |
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言語 |
en |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
Masui, Kimihiko
Kume, Naoto
Nakao, Megumi
Magaribuchi, Toshihiro
Hamada, Akihiro
Kobayashi, Takashi
澤田, 篤郎
WEKO
35206
e-Rad_Researcher
10784796
| ja |
澤田, 篤郎
宮崎大学
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| ja-Kana |
サワダ, アツロウ
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| en |
Sawada, Atsuro
University of Miyazaki
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Search repository
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
In robot-assisted surgery, in which haptics should be absent, surgeons experience haptics-like sensations as “pseudo-haptic feedback”. As surgeons who routinely perform robot-assisted laparoscopic surgery, we wondered if we could make these “pseudo-haptics” explicit to surgeons. Therefore, we created a simulation model that estimates manipulation forces using only visual images in surgery. This study aimed to achieve vision-based estimations of the magnitude of forces during forceps manipulation of organs. We also attempted to detect over-force, exceeding the threshold of safe manipulation. We created a sensor forceps that can detect precise pressure at the tips with three vectors. Using an endoscopic system that is used in actual surgery, images of the manipulation of excised pig kidneys were recorded with synchronized force data. A force estimation model was then created using deep learning. Effective detection of over-force was achieved if the region of the visual images was restricted by the region of interest around the tips of the forceps. In this paper, we emphasize the importance of limiting the region of interest in vision-based force estimation tasks. |
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言語 |
en |
| 内容記述 |
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内容記述タイプ |
Other |
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内容記述 |
Citation: Kimihiko Masui, Naoto Kume, Megumi Nakao, Toshihiro Magaribuchi, Akihiro Hamada, Takashi Kobayashi, Atsuro Sawada, Vision-based estimation of manipulation forces by deep learning of laparoscopic surgical images obtained in a porcine excised kidney experiment, Scientific Reports, 14(1), 2024-04-27, https://doi.org/10.1038/s41598-024-60574-w |
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言語 |
en |
| bibliographic_information |
en : Scientific Reports
巻 14,
号 1,
発行日 2024-04-27
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| 出版者 |
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出版者 |
Springer Science and Business Media LLC |
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言語 |
en |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
2045-2322 |
| item_10001_relation_14 |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1038/s41598-024-60574-w |
| 権利 |
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権利情報 |
© Te Author(s) 2024 |
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言語 |
en |
| 出版タイプ |
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出版タイプ |
VoR |
article (1.5 MB)
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