Kinematic Displacement Density Tool for Soft Tissue Energy Prediction
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Solution Overview
Problem
Current technologies lack a method to quantify and predict the mechanical energy density delivered to soft tissues by mechanical implements such as needles and blades, which is crucial for effective tissue disruption in medical and cosmetic procedures.
Innovation Solution
The development of a computational tool, referred to as kinematic displacement density (KDD), which calculates the mechanical energy density delivered to tissues based on the motion and geometry of the disrupting implement, allowing for quantification, prediction, and simulation of tissue disruption without requiring direct measurements of dynamic forces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mechanical implements (needles, blades, brushes) are used to disrupt soft tissues, then tissue disruption effect is achieved, but the mechanical energy density delivered to tissues cannot be quantified
Solution Approach 1:
The patent replaces direct mechanical force measurement with a computational model that calculates mechanical energy density based on kinematic parameters (motion, geometry, material properties). This substitutes the complex mechanical measurement system with a computational approach, eliminating the need for direct force sensors while achieving quantification of energy density.
Solution Approach 2:
The patent introduces a computational intermediary (mathematical model) between the mechanical implement and tissue. This intermediary translates kinematic parameters into mechanical energy density through computational algorithms, serving as a mediator that bridges the gap between simple motion tracking and complex tissue energy deposition without requiring direct force measurement.
2Use of energy by moving object
If directed energy sources (lasers, ultrasound, microwaves) are used for tissue disruption, then energy deposition can be measured, but mechanical implements lack comparable quantification methods
Solution Approach 1:
The patent changes the approach from measuring physical energy deposition (as done for directed energy sources) to calculating mechanical energy density through kinematic parameters. By transforming the problem into a computational parameter calculation based on motion, geometry, and material properties, the patent enables quantification for mechanical implements without requiring direct energy measurement infrastructure.
3Manufacturing precision
If computational tools are developed to predict tissue disruption, then treatment precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the computational tool into distinct functional modules: (1) input parameter acquisition (motion, geometry, material properties), (2) computational energy density calculation, and (3) treatment prediction/optimization. This segmentation makes the complex computational tool more manageable, modular, and easier to implement while maintaining treatment precision.
Data Source
AI summary
Mechanical disruption of soft tissues is a treatment modality for many dermatological, cosmetic, and medical procedures that has defied quantification. When driven through soft tissue, sturdy mechanical implements are not affected by the tissue, which permits a useful separation of specified kinematics from unknown dynamics. Tissue disruption (breaking structural fibers and other bonds) is proportional to the mechanical energy density delivered to the tissues, which in turn is related to a novel quantity: the kinematic displacement density (“KDD”). A kinematic displacement tool, including software with auxiliary hardware, may be used for, among other purposes, calculating, displaying, and using KDD in various application categories, including but not limited to: simulation and analysis of mechanical tissue disruption for medical purposes; training disruption technicians; optimizing disruption implements; programming semi-automatic disruption devices; and measuring the actual mechanical energy density delivered to tissues.


