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System and Method for generating Medical Images to reflect treatment or progress improvements.

IP.com Disclosure Number: IPCOM000224119D
Publication Date: 2012-Dec-10
Document File: 6 page(s) / 220K

Publishing Venue

The IP.com Prior Art Database

Abstract

Proposed is a system method for creating digital images and combining them with multiple aspects of the patient's condition. Initially base images would be combined from existing digital images. This reference data base would then be used to create 'expected' digital references of the patient or subject based on a plurality of variables (age, weight, body type, existing conditions, medications currently taken, medications proposed). The information could be used by both doctors, researchers, and patients as they review various treatment options and make informed decisions.

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System and Method for generating Medical Images to reflect treatment or progress improvements.

Digital images are very useful in diagnosing, managing and improving health. Information overload and knowing what to filter and what to factor into an analysis continues to be a complex task. There isn't currently a predictable way to merge various data points and other images to create a visual expected progression. Some patients have a variety of symptoms, are taking various prescriptions, and previous conditions that complicate a "normal" healing process.

Proposed is a system method for creating digital images and combining with multiple aspects of the patient's condition. Initially base images would be combined from existing digital images. This reference data base would then be used to create 'expected' digital references of the patient or subject based on a plurality of variables (age, weight, body type, existing conditions, medications currently taken, medications proposed). The information could be used by both doctors, researchers, and patients as they review various treatment options and make informed decisions.

Initially, one or more computer models are generated by taking images (e.g. x-rays) of a particular anatomical part suffering from a particular ailment in a number of patients. As an example, x-rays can be taken of the lungs of a number of patients suffering from pneumonia. Images and information gathered by other tools like ultrasound's, MRIs, etc., can be combined to assemble a large corpus of data.These images are analyzed by a computer program to generate an initial model. The suffering patients are then treated (e.g. given antibiotics). Over time, additional images are taken and modeled in the same fashion. Following the treatment, additional images are taken and also modeled. This collection of models is categorized into those that had a positive outcome (patient responded to treatment) and those that had a negative outcome (patient failed to respond to treatment).

When a future patient is being treated for the same or similar ailment, images are taken prior to beginning treatment and are compared to the previously generated models. This comparison generates an initial reference point and indicates how this person compares to the previously established data set. From this reference point, the progress that was modeled can be applied to this patient's x-rays to generate a series of expected results (one series for positive results, one for negative results). Additional images taken during the course of treatment can th...