SYSTEM AND METHOD FOR IDENTIFICATION OF BODY FILLING MATERIAL

Description

1 / 5 SYSTEM AND METHOD FOR IDENTIFICATION OF BODY FILLING MATERIAL FIELD OF THE INVENTION

[01] This invention patent describes a system and method for identifying body filler material that includes a portable ultrasonic transducer that non-invasively obtains body images of an area of ​​interest and sends the data obtained to a processing unit where morphological, textural and spectral patterns are identified in the image and texture characteristics, pixel intensity and distribution patterns are extracted using multivariate statistical analysis and exploratory and classificatory multivariate statistical methods to identify the most discriminative characteristics between different types of fillers, allowing identification of the material and quantity implanted in superficial and deep layers of human skin. BACKGROUND OF THE INVENTION

[02] Body fillers involve injecting fillers into the deeper layers of the skin to stimulate collagen production. This activation accentuates curves, improves sagging, and sculpts contours.

[03] In the case of adverse reactions, it is necessary to identify the material and the amount applied for appropriate intervention. In this situation, less invasive procedures are usually performed, such as reaction with enzymatic agents (e.g., hyaluronidase) or the administration of corticosteroids or other anti-inflammatory treatments. In extreme cases, an incision is made at the application site, which, depending on the area, can lead to problems. Petition 870250078800, dated 03 / 09 / 2025, page 8 / 21 2 / 5 aesthetic. Also, the origin of the liquid implant can also be obtained from its optical markers and, based on this information, the origin and composition of the implant can be verified.

[04] The state of the art describes methods and equipment that integrate spectroscopy techniques for materials analysis.

[05] Document US2021186465 describes a portable imaging device integrating ultrasonic waves and nuclear medicine, comprising a transducer for transmission and reception of ultrasonic waves; a bonding layer which, in a state where the bonding layer is disposed at the upper end of the transducer, reduces the acoustic resistance difference between the transducer and an affected part and supports the smooth transmission of an ultrasonic beam to the tissue and the high-sensitivity reception of a reflected beam; a sound-absorbing member which absorbs ultrasonic waves on the surface opposite the affected area with the transducer as a reference; and a scintillator which detects gamma rays as radiation beams, the sound-absorbing component is used as a collimator of a nuclear medicine detector and the ultrasonic medical equipment and the nuclear medicine detector are fused into one detector.

[06] Document US2019041328 describes a portable optical apparatus for diffuse reflectance spectroscopy that includes a first means for generating light, a second means for transferring and receiving the light on a substrate, a third means for collecting diffusely reflected light, and a fourth means for separating the diffusely reflected light from specularly reflected light to obtain information about the concentration of a chromophore on the substrate. The second means is an optical probe. Petition 870250078800, dated 03 / 09 / 2025, p. 9 / 21 3 / 5

[07] Document WO2013103475 describes a portable spectroscopic scanner based on an optical fiber probe for tissue edge assessment.

[08] Document BR102021026059, from the same author, describes a non-invasive method for analyzing liquid implants in deep anatomical planes of humans that uses magnetic resonance imaging spectroscopy combined with nuclear magnetic resonance spectroscopy to obtain data on the structure and properties of the implanted material, allowing identification of origin, type and quantity in order to expedite interventions, in case of adverse events, or even for analysis and diagnostic purposes.

[09] For the non-invasive identification and analysis of liquid implants in superficial and deep layers of human skin, the Applicant developed a system composed of a portable ultrasonic transducer, capable of obtaining images of the body area of ​​interest and sending the collected data to a processing unit, where morphological, textural and spectral patterns are identified in the image and texture characteristics, pixel intensity and distribution patterns are extracted using multivariate statistical analysis and exploratory and classificatory multivariate statistical methods to identify the most discriminative characteristics among the different types of fillers, allowing the identification of the material and quantity implanted in superficial and deep layers of human skin. BRIEF DESCRIPTION OF THE FIGURES

[010] Figure 1 presents a schematic representation of the system for identifying body filler material. Petition 870250078800, dated 03 / 09 / 2025, page 10 / 21 4 / 5

[011] Figure 2 presents the operational flowchart for an assessment carried out through the system for identifying body filler material. DETAILED DESCRIPTION OF THE INVENTION

[012] The system for identifying body filler material, object of the present invention, comprises a portable ultrasonic transducer (10) for acquiring images of a human body region in a non-invasive manner which are processed in a processing unit (20) and presented on a display (30).

[013] The portable ultrasonic transducer (10) operates at frequencies between 7.5 MHz and 15 MHz, using magnetic resonance imaging spectroscopy coupled with nuclear magnetic resonance spectroscopy, to acquire physicochemical data from a human body region through the absorption, reflection or transmission of energy.

[014] The data obtained by the portable ultrasonic transducer (10), in the form of images, are sent to the processor (20) where pre-processing operations are performed, such as noise removal and enhancement of relevant features using filtering, normalization and segmentation to improve image quality and facilitate subsequent analysis.

[015] The pre-processed image is analyzed using a computer program to identify morphological, textural, and spectral patterns. Specific image characteristics, such as texture, pixel intensity, and distribution patterns, are extracted, and multivariate statistical analysis is used to analyze the variables.

[016] Exploratory and classificatory multivariate statistical methods, such as Principal Component Analysis (PCA) and Analysis Petition 870250078800, dated 03 / 09 / 2025, page 11 / 21 5 / 5 Partial Least Squares Discrimination (PLS-DA) methods are used to reduce the dimensionality of data and identify the most discriminating characteristics among different types of fillers.

[017] The features extracted from the image are stored and used to train pattern recognition models for subsequent evaluations. Machine learning models, such as convolutional neural networks (CNNs), are trained with the processed images to recognize and classify the fillers. These models are able to learn complex patterns and generalize to new images, increasing the accuracy of the detection.

[018] The variables extracted from the processed images are presented on the display (30) indicating the type and quantity of filler present in the analyzed body area of ​​interest.

[019] The system can be powered by a battery, allowing for portability. Petition 870250078800, dated 03 / 09 / 2025, page 12 / 21

Claims

1 / 1 CLAIMS:

1. SYSTEM FOR IDENTIFICATION OF BODY FILLING MATERIAL, characterized by comprising: a) a portable ultrasonic transducer (10) for acquiring images of a human body region in a non-invasive manner that operates at frequencies between 7.5 MHz and 15 MHz; b) a processing unit (20) that receives the images from the transducer (10); c) a display for presenting the images (30) processed by the processing unit (20).

2. METHOD FOR IDENTIFICATION OF BODY FILLING MATERIAL using the system claimed in 1, characterized by comprising the following steps: a) images obtained by the portable ultrasonic transducer (10) are pre-processed in the processing unit (20) with noise removal and enhancement of relevant features using filtering, normalization and segmentation; b) identification of morphological, textural and spectral patterns in the pre-processed image; c) extraction of texture features, pixel intensity and distribution patterns using multivariate statistical analysis; d) application of exploratory and classificatory multivariate statistical methods to identify the most discriminative features among the different types of fillers; e) training with the processed images to recognize and classify the fillers. Petition 870250078800, dated 03 / 09 / 2025, pp. 13 / 21

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