Medical Robotics in
Micro-Scale
and Macro-Scale Interventions
October 15, 2008 12:30 pm
Radiology Conference Room N2E14C
Jaydev P. Desai, PhD, is an
associate professor of mechanical engineering and director of the Robotics,
Automation, Manipulation, and Sensing Laboratory at the
Dr. Desai
is currently the principal investigator or co-investigator on several National
Institutes of Health and National Science Foundation grants in minimally
invasive neurosurgical robotics, haptic-enabled mechanical phenotyping of
cells, and data-driven, real-time surgical simulation tools.
Among his
recent publications are:
1. Lister K, Desai JP. Soft-tissue characterization during monopolar
electrocautery procedures. Stud Health
Technol Inform. 2008;132:254–256.
2. Desai JP,
Pillarisetti A, Brooks AD. Engineering approaches to biomanipulation. Annu Rev Biomed
3. Pillarisetti A, Pekarev M, Brooks
AD, Desai JP. Evaluating the effect
of force feedback in cell injection. IEEE
Trans Automat Sci Engin. 2007;4:322–331.
4. Chanthasopeephan T, Desai JP, Lau AC. Modeling soft-tissue
deformation prior to cutting for surgical simulation: finite element analysis
and study of cutting parameters. IEEE
Trans Biomed
5. Tholey G, Desai JP. A general purpose 7 DOF haptic device: applications
toward robot-assisted surgery, IEEE/ASME
Trans Mechatron. 2007;12:662–669.
6. Kennedy CW, Desai JP. Modeling and control of the Mitsubishi PA-10 robot arm
harmonic drive system. IEEE/ASME Trans
Mechatron. 2005;10:263–274.
7. Tholey G, Desai JP, Castellanos AE. Force feedback plays a significant role
in minimally invasive surgery: results and analysis. Ann Surg. 2005;241:102–109.
8. Kennedy CW, Desai JP. A vision-based approach for
estimating contact forces: Applications
to robot-assisted surgery. J Appl Bionics Biomech, 2005.
9. Hu T, Desai JP. Soft-tissue material properties under large deformation:
strain rate effect. Conf Proc IEEE Eng
Med Biol Soc. 2004;4:2758–2761.
10. Chanthasopeephan T, Desai JP, Lau AC. Determining
deformation resistance in cutting soft tissue with nonuniform thickness. Conf Proc IEEE Eng Med Biol Soc.
2004;4:2754–2757.
11. Tholey G, Pillarisetti A, Desai JP. On-site three-dimensional
force sensing capability in a laparscopic grasper. Indust Robot. 2004;31:509.
12. Sugar T, Desai JP. A framework for kinematic and dynamic motion planning for
a formation of mobile robots. Intell
Automat Soft Comput. 2004;10:307–322.
13. Hing JT, Brooks AD, Desai JP. A biplanar fluoroscopic
approach for the measurement, modeling, and simulation of needle and
soft-tissue interaction. Med Image Anal.
2007;11:62–78.
14. Chanthasopeephan T, Desai JP, Lau AC. Study of soft tissue
cutting forces and cutting speeds. Stud
Health Technol Inform. 2004;98:56–62.
15. Hu T, Tholey G, Desai JP, Castellanos AE. Evaluation of
a laparoscopic grasper with force feedback. Surg
Endosc. 2004;18:863–867.
16. Chanthasopeephan T, Desai JP, Lau AC. Measuring forces in
liver cutting: new equipment and experimental results. Ann Biomed
17. Lanfranco AR, Castellanos AE, Desai JP, Meyers WC. Robotic surgery: a
current perspective. Ann Surg.
2004;239:14–21.
________________________________________________________
About Diagnostic
Radiology Grand Rounds and CME Credit
Targeted audience: health care providers
Learning objectives: By completing this
educational activity, the participant should gain familiarity with:
(1) The role of robotics in
medicine;
(2) The role of haptic feedback in
surgery; and
(3) Cellular-level manipulation.
Sponsored by the
Accreditation & Credit Designation Statements: The University of Maryland School
of Medicine is accredited by the Accreditation Council for Continuing Medical
Education to provide continuing medical education for physicians.
The University of Maryland School
of Medicine designates this educational activity for a maximum of 1 AMA PRA
Category 1 Credit(s)™. Physicians should claim only credit commensurate with
the extent of their participation in the activity.