Minimally invasive surgical techniques have been highly successful in improving patient care, reducing risk of infection, and decreasing recovery times. This project aims to further reduce invasiveness by developing a technique to insert thin, flexible needles into the human body and steer them from outside. This approach will potentially improve a wide range of procedures, from chemotherapy and radiotherapy to biopsy collection and tumor ablation, by enhancing physicians'abilities to accurately maneuver inside the human body without additional trauma to the patient. Building on emerging methods in robotics and highly encouraging results obtained under an R21 exploratory grant, we propose to design, prototype, and evaluate a working system that will steer flexible needles through deformable tissue and around internal obstacles to precisely reach specified 3D targets. This research program will significantly advance our understanding and practice of needle therapies through integrated needle design and modeling, preoperative visualization and needle motion planning, and image-guided intraoperative needle control. The scientific and engineering advances will culminate in a set of pre-clinical trials with imaging (fluoroscopy, ultrasound, and MRI) using phantom and natural ex vivo and in vivo models. The designs, analyses, and experiments of this study will determine the merits and weaknesses of flexible needle steering, with the goals of improving current clinical applications and leading to new ultra-minimally invasive surgical procedures. The results of this project could significantly improve public health by lowering patient recovery times, infection rates, and treatment costs. By increasing the dexterity and accuracy of minimally invasive procedures, anticipated results will not only improve outcomes of existing procedures, but also enable percutaneous procedures for many conditions that currently require open surgery.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB006435-03
Application #
7619491
Study Section
Bioengineering, Technology and Surgical Sciences Study Section (BTSS)
Program Officer
Henderson, Lori
Project Start
2007-08-15
Project End
2011-05-31
Budget Start
2009-06-01
Budget End
2010-05-31
Support Year
3
Fiscal Year
2009
Total Cost
$601,931
Indirect Cost
Name
Johns Hopkins University
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Swensen, John P; Lin, MingDe; Okamura, Allison M et al. (2014) Torsional dynamics of steerable needles: modeling and fluoroscopic guidance. IEEE Trans Biomed Eng 61:2707-17
Koseki, Yoshihiko; Kawai, Masato; De Lorenzo, Danilo et al. (2013) Coaxial needle insertion assistant for epidural puncture effect of lateral force on needle. Conf Proc IEEE Eng Med Biol Soc 2013:6683-6
De Lorenzo, Danilo; Koseki, Yoshihiko; De Momi, Elena et al. (2013) Coaxial needle insertion assistant with enhanced force feedback. IEEE Trans Biomed Eng 60:379-89
Majewicz, Ann; Marra, Steven P; van Vledder, Mark G et al. (2012) Behavior of tip-steerable needles in ex vivo and in vivo tissue. IEEE Trans Biomed Eng 59:2705-15
Reed, Kyle B; Majewicz, Ann; Kallem, Vinutha et al. (2011) Robot-Assisted Needle Steering. IEEE Robot Autom Mag 18:35-46
De Lorenzo, Danilo; Koseki, Yoshihiko; De Momi, Elena et al. (2011) Experimental evaluation of a coaxial needle insertion assistant with enhanced force feedback. Conf Proc IEEE Eng Med Biol Soc 2011:3447-50
Park, Wooram; Reed, Kyle B; Okamura, Allison M et al. (2010) Estimation of Model Parameters for Steerable Needles. IEEE Int Conf Robot Autom :3703-3708
Park, Wooram; Wang, Yunfeng; Chirikjian, Gregory S (2010) The Path-of-Probability Algorithm for Steering and Feedback Control of Flexible Needles. Int J Rob Res 29:813-830
Kallem, Vinutha; Chang, Dong Eui; Cowan, Noah J (2010) Task-Induced Symmetry and Reduction with Application to Needle Steering. IEEE Trans Automat Contr 55:664-673
Misra, Sarthak; Ramesh, K T; Okamura, Allison M (2010) Modelling of non-linear elastic tissues for surgical simulation. Comput Methods Biomech Biomed Engin 13:811-8

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