Apparatus and method for determining a tissue susceptibility value
Inventors
AGARWAL, Animesh • Vaidya, Suthirth • Barve, Rakesh
Assignees
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Publication Number
US-12527621-B1
Publication Date
2026-01-20
Expiration Date
Abstract
An apparatus and method for determining a tissue susceptibility value from medical data. The apparatus includes an imaging device, wherein the imaging device is configured to detect an image of a subject, wherein the subject receives tissue ablation, a memory, and at least a processor communicatively connected to the memory, wherein the memory contains instructions configuring the at least a processor to receive the image of the subject, generate a tissue susceptibility prediction model, wherein the tissue susceptibility prediction model is configured to receive, as input, the image of the subject, and determine a tissue susceptibility value as a function of the image, wherein the tissue susceptibility value defines a susceptibility of a tissue to the tissue ablation, display, using a downstream device, the tissue susceptibility value through a graphical user interface.
Core Innovation
The disclosed apparatus and method determine a tissue susceptibility value from an image of a subject who receives tissue ablation. The system uses a tissue susceptibility prediction model to determine the value as a function of the image, defining tissue susceptibility to ablation. Additionally, the system generates a dose-dependent graph relating modulation on the X-axis to tissue resistance on the Y-axis, displaying the value via a graphical user interface.
The system includes a machine-learning module with supervised, unsupervised, and lazy-learning processes and a layered neural network combining weighted inputs to produce an output. Disclosed refinements incorporate MRI and CT imaging data, post-ablation resistance training data, ablation probe modulation data, a convolutional neural network, and threshold-based color-scale visualization. The architecture operates on a computing system comprising processors, memory, input/output, display, storage, and network interfaces.
Claims Coverage
The provided claims define two inventive features across two independent claims covering an apparatus and a method.
Apparatus for determining tissue susceptibility
Independent claim 1 covers an apparatus comprising an imaging device, memory, and processor configured to receive an image of a subject who receives tissue ablation, determine a tissue susceptibility value as a function of the image, generate a dose-dependent graph with modulation on the X-axis and tissue resistance on the Y-axis, and display the value through a graphical user interface.
Method for determining tissue susceptibility
Independent claim 10 covers a method comprising receiving an image of a subject who receives tissue ablation, determining a tissue susceptibility value as a function of the image, generating a dose-dependent graph with modulation on the X-axis and tissue resistance on the Y-axis, and displaying the value through a graphical user interface.
The independent claims cover an apparatus and a method that utilize subject images to predict tissue susceptibility to ablation, generate a dose-dependent modulation versus resistance graph, and graphically display the susceptibility value.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Determining and displaying a tissue susceptibility value for tissue ablation using an image of a subject who receives tissue ablation.
Presenting a tissue susceptibility value and related visualization for clinician assessment, including during a procedure.
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