Treatment planning systems and methods for body contouring applications

Methods and system for treatment planning for non- and minimally-invasive alteration of body adipose tissue for reduction and contouring of body fat are described herein. Treatment plans can be generated by capturing current body part data (e.g., positioning, contour/shape, thickness of adipose tiss...

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description Methods and system for treatment planning for non- and minimally-invasive alteration of body adipose tissue for reduction and contouring of body fat are described herein. Treatment plans can be generated by capturing current body part data (e.g., positioning, contour/shape, thickness of adipose tissue, etc.), determining desired outcome of treatment (e.g., percent reduction of adipose tissue thickness, degree of contour change, etc.), and determining treatment parameters to achieve desired results. Algorithms can be used to determine best-fit treatment parameters to use in treatment sessions. In some embodiments, the system can provide a predictive end-result image for communication to patient and/or for determining alteration of desired outcome. In various embodiments, real-time monitoring of feedback data can be used to determine treatment plan efficacy. Additional algorithms can provide real-time comparison of feedback data to anticipated feedback data, and can be used to change treatment parameters in real-time to achieve desired effects.
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Treatment plans can be generated by capturing current body part data (e.g., positioning, contour/shape, thickness of adipose tissue, etc.), determining desired outcome of treatment (e.g., percent reduction of adipose tissue thickness, degree of contour change, etc.), and determining treatment parameters to achieve desired results. Algorithms can be used to determine best-fit treatment parameters to use in treatment sessions. In some embodiments, the system can provide a predictive end-result image for communication to patient and/or for determining alteration of desired outcome. In various embodiments, real-time monitoring of feedback data can be used to determine treatment plan efficacy. 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Treatment plans can be generated by capturing current body part data (e.g., positioning, contour/shape, thickness of adipose tissue, etc.), determining desired outcome of treatment (e.g., percent reduction of adipose tissue thickness, degree of contour change, etc.), and determining treatment parameters to achieve desired results. Algorithms can be used to determine best-fit treatment parameters to use in treatment sessions. In some embodiments, the system can provide a predictive end-result image for communication to patient and/or for determining alteration of desired outcome. In various embodiments, real-time monitoring of feedback data can be used to determine treatment plan efficacy. Additional algorithms can provide real-time comparison of feedback data to anticipated feedback data, and can be used to change treatment parameters in real-time to achieve desired effects.</abstract><oa>free_for_read</oa></addata></record>
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title Treatment planning systems and methods for body contouring applications
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