Study on Bionic Design and Tissue Manipulation of Breast Interventional Robot.

ADMM-based tissue dynamics bionic design breast interventional robot breast tissue manipulation manipulate target displacement

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
03 Oct 2024
Historique:
received: 06 08 2024
revised: 27 09 2024
accepted: 28 09 2024
medline: 16 10 2024
pubmed: 16 10 2024
entrez: 16 10 2024
Statut: epublish

Résumé

Minimally invasive interventional surgery is commonly used for diagnosing and treating breast cancer, but the high fluidity and deformability of breast tissue reduce intervention accuracy. This study proposes a bionic breast interventional robot that mimics the scorpion's predation process, actively manipulating tissue deformation to control target displacement and enhance accuracy. The robot's structure is designed using a modular method, and its kinematics and workspace are analyzed and solved. To address the nonlinear breast tissue deformation problem, a hierarchical tissue method is proposed to simplify the three-dimensional problem into a two-dimensional one. A two-dimensional tissue deformation solver is established based on the minimum energy method for quick resolution. The problem is treated as quasi-static, deriving the displacement relationship between external manipulation points and internal tissue targets. The method of active manipulation of tissue deformation is simulated using MATLAB (2019-b) software to verify the feasibility of the method. Results show maximum errors of 1.7 mm for prostheses and 2.5 mm for in vitro tissues in the

Identifiants

pubmed: 39409447
pii: s24196408
doi: 10.3390/s24196408
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Open Fund for the Key Laboratory of Advanced Processing Technology and Intelligent Manufacturing in Heilongjiang Province
ID : KFKT202204
Organisme : National Natural Science Foundation of China
ID : 52275015

Auteurs

Weixi Zhang (W)

Key Laboratory of Advanced Processing Technology and Intelligent Manufacturing (Heilongjiang Province), Harbin University of Science and Technology, Harbin 150080, China.
Postdoctoral Research Center of Instrument Science and Technology, Harbin University of Science and Technology, Harbin 150080, China.

Jiaxing Yu (J)

Key Laboratory of Advanced Processing Technology and Intelligent Manufacturing (Heilongjiang Province), Harbin University of Science and Technology, Harbin 150080, China.

Xiaoyang Yu (X)

Postdoctoral Research Center of Instrument Science and Technology, Harbin University of Science and Technology, Harbin 150080, China.

Yongde Zhang (Y)

Key Laboratory of Advanced Processing Technology and Intelligent Manufacturing (Heilongjiang Province), Harbin University of Science and Technology, Harbin 150080, China.

Zhihui Men (Z)

Key Laboratory of Advanced Processing Technology and Intelligent Manufacturing (Heilongjiang Province), Harbin University of Science and Technology, Harbin 150080, China.

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Classifications MeSH