TY - GEN
T1 - ESTIMATION OF TISSUE MOVEMENT IN NEEDLE INSERTION TASKS USING AN ACTIVE NEEDLE
AU - Padasdao, Blayton
AU - Batsaikhan, Zolboo
AU - Brown, Dailen
AU - Moore, Jason
AU - Konh, Bardia
N1 - Funding Information:
This work was funded in part by Hawaii Community Foundation, Grant ID # 20ADVC-102159, in part by University of Hawaii (UH) Cancer Center's SITS (Strategic Investment in Translational Science) program, and in part by The National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under Award Number 1K25EB030562-01A1. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Publisher Copyright:
© 2022 by ASME
PY - 2022
Y1 - 2022
N2 - Needle insertion has been used as a minimally invasive technique in many diagnostic or therapeutic procedures such as prostate biopsy or brachytherapy. While the success of these procedures relies on accurate positioning of the needle tip at target positions, the intraoperative movement of the tissue (and consequently the target) has caused physicians some difficulties in acquiring the target. This paper presents a method to estimate tissue movement during a needle insertion task within tissue. The movement of the tissue is valuable information for guidance, navigation, and control of the needle inside tissue towards the target. A needle insertion task was performed using an active needle bending. Ultrasound images were captured at four needle insertion stages of initial needle insertion, bending, unbending, and needle retraction. Ultrasound images were then analyzed to estimate the tissue movement at each stage. The study showed that needle retraction, insertion, bending, and unbending stages correspond to largest to lowest tissue movement, respectively.
AB - Needle insertion has been used as a minimally invasive technique in many diagnostic or therapeutic procedures such as prostate biopsy or brachytherapy. While the success of these procedures relies on accurate positioning of the needle tip at target positions, the intraoperative movement of the tissue (and consequently the target) has caused physicians some difficulties in acquiring the target. This paper presents a method to estimate tissue movement during a needle insertion task within tissue. The movement of the tissue is valuable information for guidance, navigation, and control of the needle inside tissue towards the target. A needle insertion task was performed using an active needle bending. Ultrasound images were captured at four needle insertion stages of initial needle insertion, bending, unbending, and needle retraction. Ultrasound images were then analyzed to estimate the tissue movement at each stage. The study showed that needle retraction, insertion, bending, and unbending stages correspond to largest to lowest tissue movement, respectively.
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U2 - 10.1115/DMD2022-1008
DO - 10.1115/DMD2022-1008
M3 - Conference contribution
AN - SCOPUS:85130293038
T3 - Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022
BT - Proceedings of the 2022 Design of Medical Devices Conference, DMD 2022
PB - American Society of Mechanical Engineers
T2 - 2022 Design of Medical Devices Conference, DMD 2022
Y2 - 11 April 2022 through 14 April 2022
ER -