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Moshe Shoham

Publications and source records attributed to Moshe Shoham.

3 recordsLinked to original sources

Flexible needle steering for percutaneous therapies.

OBJECTIVE: A robotic system is presented for flexible needle steering and control in soft tissue. MATERIALS AND METHODS: Flexible needle insertion into a deformable tissue is modeled as a linear beam supported by virtual springs, where the stiffness coefficients of the springs can vary along the needle. Using this simplified model, the forward and inverse kinematics of the needle are solved analytically, thus enabling both path planning and path correction in real time. Given target and obstacle locations, the computer calculates the needle tip trajectory that will avoid the obstacle and hit the target. Using the inverse kinematics algorithm, the corresponding needle base maneuver needed to follow this trajectory is calculated. RESULTS: It is demonstrated that the needle tip path is not unique and can be optimized to minimize lateral pressure of the needle body on the tissue. Needle steering, i.e., the needle base movements that steer the needle tip, is not intuitive. Therefore, the needle insertion procedure is best performed by a robot. The model was verified experimentally on muscle and liver tissues by robotically assisted insertion of a flexible spinal needle. During insertion, the position and shape of the needle were recorded by X-ray. CONCLUSIONS: This study demonstrates the ability to curve a flexible needle by its base motion in order to achieve a planned tip trajectory.

Algorithms↗

Feasibility study of a mini, bone-attached, robotic system for spinal operations: analysis and experiments.

STUDY DESIGN: In this investigation, a new concept of a miniature, bone-attached, medical robotic system for spinal operations is presented. As part of the design parameters of the robot, the forces and moments applied by the physician during insertion of Kirschner wires to soft tissues and drilling in hard tissues were examined. A theoretical model for the expected error of the robotic system due to the applied force has been derived and verified experimentally. The results of a clinical experiment that was carried out on a cadaver support the theoretical model derived and the miniature, bone-attached, robotic concept. OBJECTIVES: 1) Examining the concept of attaching a miniature robotic system to the spinous process of the operated vertebra. 2) Measuring the forces applied by the physician during insertion of Kirschner wires to soft tissues and drilling in hard tissues. 3) Evaluating the expected error of the robot due to mechanical and anatomic deflection caused by the forces applied by the physician during operation. 4) Testing and verifying the theoretical background by a clinical experiment. SUMMARY OF BACKGROUND DATA: Spinal operations are reported in the literature to have a relatively low success rate (70%-90%). This low success rate is affected by misunderstanding of the disease and its indications, resulting in bad selection of patients. From the technical point of view, the low success rate is greatly affected by the physician's lack of experience and the complexity of the spinal anatomy. The development of a miniature bone-attached robotic system for spinal operations could improve the success rate of spinal operations, introduce new percutaneous procedures, and shorten recovery and hospitalization time. Moreover, it will reduce the use of fluoroscopic exposure during operation; consequently, it will decrease considerably exposure to radiation during spinal operations. METHODS: Forces and moments applied by the physician during operation were measured by a 6-DOF miniature sensor. The measurements were taken during K-wire insertion both to soft and to hard tissues of a sheep and a human cadaver. A theoretical model of the expected location error of a K-wire, inserted to selected vertebralanatomies by the robotic system, was derived and verified experimentally. RESULTS: The theoretical model agreed with the experimental results, meaning that the combination of the spinous process and the robotic structure is rigid enough to guide a K-wire accurately. The forces and moments were measured and analyzed, and the total expected error due to the forces and moments was calculated. The clinical experiments supported the theoretical model and proved the system's feasibility. CONCLUSIONS: The given results support the theoretical model developed. Moreover, a miniature robotic guiding system can be attached to the spinous process of a given vertebra. The deflection and system error resulting from the forces and moments acting during operation are within the allowable errors.

Animals↗

Approximating Functions by Neural Networks: A Constructive Solution in the Uniform Norm.

A method for constructively approximating functions in the uniform (i.e., maximal error) norm by successive changes in the weights and number of neurons in a neural network is developed. This is a realization of the approximation results of Cybenko, Hecht-Nielsen, Hornik, Stinchcombe, White, Gallant, Funahashi, Leshno et al., and others. The constructive approximation in the uniform norm is more appropriate for a number of examples, such as robotic arm motion, and stands in contrast with more standard methods, such as back-propagation, which approximate only in the average error norm. Copyright 1996 Elsevier Science Ltd

Journal Article↗