摘要
The rotational cutting method has been used in needle biopsy technologies to sample tough tissues, such as calcifications in the breast. The rotational motion of the needle introduces shear forces to the cutting surface such that the cutting force in the axial direction is reduced. As a result, tissue samples with large volume and better quality can be obtained. In order to comprehensively understand the effect of the needle rotation to the axial cutting force under a wide range of the needle insertion speed, this paper demonstrates a computational approach that incorporates the surface-based cohesive behavior to simulate a rotating needle cutting soft tissue. The computational model is validated by comparing with a cutting test dataset reported in the literature. The validated model is then used to generate response surfaces of the axial cutting force and torque in a large parameter space of needle rotation and insertion speeds. The results provide guidelines for selecting optimal speed configurations under different design situations.
| 原文 | English |
|---|---|
| 頁（從 - 到） | 84-93 |
| 頁數 | 10 |
| 期刊 | Computer Methods in Biomechanics and Biomedical Engineering |
| 卷 | 22 |
| 發行號 | 1 |
| DOIs | |
| 出版狀態 | Published - 2019 一月 2 |
指紋
All Science Journal Classification (ASJC) codes
- Bioengineering
- Biomedical Engineering
- Human-Computer Interaction
- Computer Science Applications
引用此文
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A computational approach to investigate optimal cutting speed configurations in rotational needle biopsy cutting soft tissue. / Lin, Chi-Lun; Lan, Guan Jhong.
於: Computer Methods in Biomechanics and Biomedical Engineering, 卷 22, 編號 1, 02.01.2019, p. 84-93.研究成果: Article
TY - JOUR
T1 - A computational approach to investigate optimal cutting speed configurations in rotational needle biopsy cutting soft tissue
AU - Lin, Chi-Lun
AU - Lan, Guan Jhong
PY - 2019/1/2
Y1 - 2019/1/2
N2 - The rotational cutting method has been used in needle biopsy technologies to sample tough tissues, such as calcifications in the breast. The rotational motion of the needle introduces shear forces to the cutting surface such that the cutting force in the axial direction is reduced. As a result, tissue samples with large volume and better quality can be obtained. In order to comprehensively understand the effect of the needle rotation to the axial cutting force under a wide range of the needle insertion speed, this paper demonstrates a computational approach that incorporates the surface-based cohesive behavior to simulate a rotating needle cutting soft tissue. The computational model is validated by comparing with a cutting test dataset reported in the literature. The validated model is then used to generate response surfaces of the axial cutting force and torque in a large parameter space of needle rotation and insertion speeds. The results provide guidelines for selecting optimal speed configurations under different design situations.
AB - The rotational cutting method has been used in needle biopsy technologies to sample tough tissues, such as calcifications in the breast. The rotational motion of the needle introduces shear forces to the cutting surface such that the cutting force in the axial direction is reduced. As a result, tissue samples with large volume and better quality can be obtained. In order to comprehensively understand the effect of the needle rotation to the axial cutting force under a wide range of the needle insertion speed, this paper demonstrates a computational approach that incorporates the surface-based cohesive behavior to simulate a rotating needle cutting soft tissue. The computational model is validated by comparing with a cutting test dataset reported in the literature. The validated model is then used to generate response surfaces of the axial cutting force and torque in a large parameter space of needle rotation and insertion speeds. The results provide guidelines for selecting optimal speed configurations under different design situations.
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U2 - 10.1080/10255842.2018.1535060
DO - 10.1080/10255842.2018.1535060
M3 - Article
C2 - 30398374
AN - SCOPUS:85056157824
VL - 22
SP - 84
EP - 93
JO - Computer Methods in Biomechanics and Biomedical Engineering
JF - Computer Methods in Biomechanics and Biomedical Engineering
SN - 1025-5842
IS - 1
ER -