ES2815623A1 - PROCEDURE FOR PERFORMING A DIAGNOSIS and DIGITAL MEDICAL FORECAST BASED ON DIGITAL ANATOMY (Machine-translation by Google Translate, not legally binding) - Google Patents

PROCEDURE FOR PERFORMING A DIAGNOSIS and DIGITAL MEDICAL FORECAST BASED ON DIGITAL ANATOMY (Machine-translation by Google Translate, not legally binding) Download PDF

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ES2815623A1
ES2815623A1 ES201930838A ES201930838A ES2815623A1 ES 2815623 A1 ES2815623 A1 ES 2815623A1 ES 201930838 A ES201930838 A ES 201930838A ES 201930838 A ES201930838 A ES 201930838A ES 2815623 A1 ES2815623 A1 ES 2815623A1
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Delgado Oscar Ruesga
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics

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  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
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  • Radiology & Medical Imaging (AREA)
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  • Animal Behavior & Ethology (AREA)
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  • Apparatus For Radiation Diagnosis (AREA)
  • Image Processing (AREA)

Abstract

Procedure for the realization of a digital medical diagnosis and prognosis based on digital anatomy based on the superposition and comparison by a computer (4) of the data included in database A (1) of digital anatomy data, the database B (2) from data from 3D radio and photographic scanners of living subjects, database C (3) from data from analysis of living subjects using motion sensors, to data obtained by studying a living subject (8) by the different devices: D for 3D radiographic study (5), E for 3D photographic study (6) and F for motion study using motion sensors (7). (Machine-translation by Google Translate, not legally binding)

Description

DESCRIPCIÓNDESCRIPTION

PROCEDIMIENTO PARA LA REALIZACION DE UN DIAGNOSTICO y PRONOSTICO MEDICO DIGITAL BASADO EN ANATOMIA DIGITALPROCEDURE FOR CARRYING OUT A DIGITAL MEDICAL DIAGNOSIS and PROGNOSIS BASED ON DIGITAL ANATOMY

OBJETO DE LA INVENCIÓNOBJECT OF THE INVENTION

Es objeto de la presente invención, tal y como el título de la invención establece, un procedimiento para la realización de un diagnóstico y pronostico medico digital basado en anatomía digital.The object of the present invention is, as the title of the invention establishes, a procedure for carrying out a digital medical diagnosis and prognosis based on digital anatomy.

Caracteriza a la presente invención las características técnicas aplicadas en todas y cada una de las etapas que conforman el procedimiento de manera que se consigue conformar un diagnóstico y pronóstico de la patología de un paciente con una calidad y precisión muy altas.The present invention is characterized by the technical characteristics applied in each and every one of the stages that make up the procedure so that a diagnosis and prognosis of a patient's pathology is achieved with very high quality and precision.

El procedimiento lleva consigo un nuevo algoritmo que permite la superposición y comparación de los datos de anatomía digital (incluyendo cortes anatómicos, escáneres y otras imágenes digitales relativas a la anatomía humana y/o animal almacenados en una o varias bases de datos) con los datos obtenidos por un scanner 3D,un escanner extgracorporal y sensores de movimiento aplicados a un sujeto vivo. Por lo tanto, la presente invención se circunscribe dentro del ámbito anatomía, de la medicina y, de la conformación de imágenes tridimensionales digitales.The procedure carries with it a new algorithm that allows the superposition and comparison of digital anatomy data (including anatomical sections, scanners and other digital images related to human and / or animal anatomy stored in one or more databases) with the data. obtained by a 3D scanner, an external body scanner and motion sensors applied to a living subject. Therefore, the present invention is circumscribed within the field of anatomy, medicine and the conformation of digital three-dimensional images.

ANTECEDENTES DE LA INVENCIÓNBACKGROUND OF THE INVENTION

En el estado de la técnica se han desarrollado diferentes aproximaciones a laconformación de un conjunto tridimensional del cuerpo como losIn the state of the art, different approaches have been developed to the formation of a three-dimensional set of the body, such as

descritos en los siguientes artículos:described in the following articles:

- "Serial slice image segmentation of digital human based on adaptivegeometric active contour tracking” Chen Qiang; Sun Quan-sen; Xia Deshen- "Serial slice image segmentation of digital human based on adaptivegeometric active contour tracking" Chen Qiang; Sun Quan-sen; Xia Deshen

- "A new segmentation method for slice images of digital human brain” Luo H -Y; Li M; Tan L -W; Zheng X -L; Zhang S -X; Hou W -S.- "A new segmentation method for slice images of digital human brain" Luo H -Y; Li M; Tan L -W; Zheng X -L; Zhang S -X; Hou W -S.

- "Digital human body thermal infrared image characteristics and human body surface 3D reconstruction” Bi Si-wen; Jiang Yang-ming- "Digital human body thermal infrared image characteristics and human body surface 3D reconstruction" Bi Si-wen; Jiang Yang-ming

- "An auto-registration algorithm for Chinese digital human anatomy image database” Zhuge B; Zhou H-Q; Tang L; Liu B-X; Feng H-Q- "An auto-registration algorithm for Chinese digital human anatomy image database" Zhuge B; Zhou H-Q; Tang L; Liu B-X; Feng H-Q

En general cada uno de ellos cubre diferentes aspectos. En algunos casos vemos que solamente se trata del cerebro humano. En otro caso el atlas tridimensional se ha realizado a partir de imágenes de infrarrojos, y en otros casos directamente apuntan a la dificultad que conlleva la realización de rodajas o cortes realizados manualmente por lo que se producen deformaciones, por lo que se hace necesario desarrollar un método activo de reparación del contorno.In general, each of them covers different aspects. In some cases we see that it is only the human brain. In another case the three-dimensional atlas has been made from infrared images, and in other cases they directly point to the difficulty involved in making slices or cuts made manually, which causes deformations, which is why it is necessary to develop an active method of contour repair.

Por lo tanto, es objeto de la presente invención desarrollar un procedimiento que permita la realización de un diagnóstico y pronostico medico digital basado en la anatomía digital desarrollando un método como el que a continuación se describe y queda recogido en su esencialidad en la reivindicación primera.Therefore, it is the object of the present invention to develop a procedure that allows the realization of a digital medical diagnosis and prognosis based on digital anatomy by developing a method such as the one described below and is reflected in its essentiality in the first claim.

EXPLICACIÓN DE LA INVENCIÓNEXPLANATION OF THE INVENTION

El objeto de la invención es un procedimiento para la realización de un diagnóstico y pronostico medico digital basado en la anatomía digital donde se realiza de manera totalmente automatizada la comparativa de una imagen en 3D de un sujeto vivo con las imágenes de una base de datos de anatomía digital, otra base de datos de escáneres 3D de sujetos vivos sin tratamientos realizados y una última base de datos de escáneres de sujetos vivos con tratamientos realizados. Para la comparativa los algoritmos se basan en parámetros tales como la métrica de los objetos de las imágenes, el color y/o contraste, la forma de los objetos etc...The object of the invention is a procedure for the realization of a digital medical diagnosis and prognosis based on digital anatomy where the comparison of a 3D image of a living subject with the images of a database of digital anatomy, another database of 3D scanners of live subjects without performed treatments and a final database of live subject scanners with performed treatments. For the comparison, the algorithms are based on parameters such as the metrics of the objects in the images, the color and / or contrast, the shape of the objects, etc.

La comparativa se realiza de manera totalmente automatizada mediante uno o varios algoritmos y los resultados son mostrados en una interfaz única dedicada al método que permite al especialista u observador determinar con una mayor precisión un diagnóstico y pronóstico médico.The comparison is carried out in a fully automated way using one or more algorithms and the results are displayed in a single interface dedicated to the method that allows the specialist or observer to determine a diagnosis and medical prognosis with greater precision.

El procedimiento para la realización de un diagnostico medico digital basado en la anatomía digital básicamente comprende las etapas:The procedure for performing a digital medical diagnosis based on digital anatomy basically comprises the stages:

1- realizacion de un escáner 3D sobre un sujeto vivo mediante:1- realization of a 3D scanner on a living subject by:

a- imagen radiográfica 3D,a- 3D radiographic image,

b- imagen 3D extracorporalb- extracorporeal 3D imaging

c- Sensores de movimiento.c- Motion sensors.

2- digitalizacion de los datos obtenidos por estos tres procesos2- digitization of the data obtained by these three processes

3- superposicion de los datos obtenidos mediante inteligencia artificial3- superposition of the data obtained by artificial intelligence

3- analisis automatizado de los datos obtenidos para obtener todos los parámetros de estudio de las imágenes pudiendo ser estos la forma, la métrica, el color, el contraste, la densidad.3- Automated analysis of the data obtained to obtain all the study parameters of the images, these being the shape, the metric, the color, the contrast, the density.

4- los datos son ahora contrastados mediante uno o varios algoritmos con los datos: a- de una base de datos de anatomía digital.4- the data are now contrasted by one or more algorithms with the data: a- from a digital anatomy database.

b- de una base de datos de escáneres 3D radiográficos y fotográficos de sujetos vivos con y sin tratamientos médicos realizados.b- a database of radiographic and photographic 3D scanners of living subjects with and without medical treatments performed.

c- de una base de datos de resultados de análisis de sujetos vivos por sensores de movimiento con y sin tratamientos médicos realizados.c- of a database of analysis results of living subjects by motion sensors with and without medical treatments performed.

5-determinacion de las similitudes y/o diferencias mediante uno o varios algoritmos de todos los dos datos5-determination of the similarities and / or differences by one or more algorithms of all the two data

5-los resultados de la comparativa son mostrados al analista en una interfaz dedicada a este método que permite determinar con gran exactitud el diagnóstico y pronostico correcto de las posibles patologías del sujeto vivo escaneado.5-The results of the comparison are shown to the analyst in an interface dedicated to this method that allows to determine with great accuracy the correct diagnosis and prognosis of the possible pathologies of the scanned living subject.

DESCRIPCIÓN DE LOS DIBUJOSDESCRIPTION OF THE DRAWINGS

La figura 1 representa el análisis de un sujeto vivo (8) mediante diferentes aparatos de análisis:Figure 1 represents the analysis of a living subject (8) using different analysis devices:

D de estudio radiográfico en 3D (5)3D Radiographic Study D (5)

E de estudio fotográfico en 3D (6)E for 3D photo studio (6)

F de estudio de movimiento mediante sensores de movimiento (7).F study of motion using motion sensors (7).

Vemos también las distintas bases de datos para comparar que son: la base de datos A (1) de datos de anatomía digital, la base de datos B(2) de datos de escáneres radio y fotográficos en 3D de sujetos vivos, la base de datos C(3) de datos de análisis de sujetos vivos mediante sensores de movimiento.We also see the different databases to compare which are: database A (1) of digital anatomy data, database B (2) of data from radio scanners and 3D photographic live subjects, the database of C (3) data from live subject analysis data using motion sensors.

Finalmente vemos el ordenador (8) que integra los datos y los muestra.Finally we see the computer (8) that integrates the data and displays it.

REALIZACIÓN PREFERENTE DE LA INVENCIÓNPREFERRED EMBODIMENT OF THE INVENTION

Como ya se he indicado, y tal y como puede apreciarse en la figura 1, vemos en perspectiva y frontalmente la base de datos A (1) de datos de anatomía digital, la base de datos B(2) de datos de escáneres radio y fotográficos en 3D de sujetos vivos, la base de datos C(3) de datos de análisis de sujetos vivos mediante sensores de movimiento, un ordenador (4), los diferentes aparatos:As I have already indicated, and as can be seen in figure 1, we see in perspective and frontally the database A (1) of digital anatomy data, the database B (2) of data from radio scanners and 3D photographic images of live subjects, database C (3) of analysis data of living subjects using motion sensors, a computer (4), the different devices:

D de estudio radiográfico en 3D(5)3D Radiographic Study D (5)

E de estudio fotográfico en 3D (6)E for 3D photo studio (6)

F de estudio de movimiento mediante sensores de movimiento (7)Motion Study F by Motion Sensors (7)

Vemos también el sujeto vivo analizado (8). We also see the living subject analyzed (8).

Claims (1)

REIVINDICACIONES 1. Procedimiento para la realización de un diagnóstico y pronostico medico digital basado en anatomía digital, caracterizado porque comprende las etapas de: 1- realizacion de un escáner 3D sobre un sujeto vivo mediante:1. Procedure for the realization of a digital medical diagnosis and prognosis based on digital anatomy, characterized in that it comprises the stages of: 1- realization of a 3D scanner on a living subject by means of: a- imagen radiográfica 3D,a- 3D radiographic image, b- imagen 3D extracorporalb- extracorporeal 3D imaging c- Sensores de movimiento.c- Motion sensors. 2- digitalizacion de los datos obtenidos por estos tres procesos2- digitization of the data obtained by these three processes 3- superposicion de los datos obtenidos mediante inteligencia artificial3- superposition of the data obtained by artificial intelligence 3- analisis automatizado de los datos obtenidos para obtener todos los parámetros de estudio de las imágenes pudiendo ser estos la forma, la métrica, el color, el contraste, la densidad.3- Automated analysis of the data obtained to obtain all the study parameters of the images, these being the shape, the metric, the color, the contrast, the density. 4- los datos son ahora contrastados mediante uno o varios algoritmos con los datos:4- the data are now contrasted by one or more algorithms with the data: a- de una base de datos de anatomía digital.a- from a digital anatomy database. b- de una base de datos de escáneres 3D radiográficos y fotográficos de sujetos vivos con y sin tratamientos médicos realizados.b- a database of radiographic and photographic 3D scanners of living subjects with and without medical treatments performed. c- de una base de datos de resultados de análisis de sujetos vivos por sensores de movimiento con y sin tratamientos médicos realizados.c- of a database of analysis results of living subjects by motion sensors with and without medical treatments performed. 5- determinacion de las similitudes y/o diferencias mediante uno o varios algoritmos de todos los dos datos5- determination of the similarities and / or differences by one or more algorithms of all the two data 6- los resultados de la comparativa son mostrados al analista en una interfaz dedicada a este método que permite determinar con gran exactitud el diagnóstico y pronostico correcto de las posibles patologías del sujeto vivo escaneado. 6- the results of the comparison are shown to the analyst in an interface dedicated to this method that allows to determine with great accuracy the diagnosis and correct prognosis of the possible pathologies of the scanned living subject.
ES201930838A 2019-09-27 2019-09-27 PROCEDURE FOR PERFORMING A DIAGNOSIS and DIGITAL MEDICAL FORECAST BASED ON DIGITAL ANATOMY (Machine-translation by Google Translate, not legally binding) Withdrawn ES2815623A1 (en)

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WO2018026431A1 (en) * 2016-08-01 2018-02-08 12 Sigma Technologies Computer-aided diagnosis system for medical images using deep convolutional neural networks
WO2018048575A1 (en) * 2016-09-07 2018-03-15 Elekta, Inc. System and method for learning models of radiotherapy treatment plans to predict radiotherapy dose distributions
US20190209116A1 (en) * 2018-01-08 2019-07-11 Progenics Pharmaceuticals, Inc. Systems and methods for rapid neural network-based image segmentation and radiopharmaceutical uptake determination
US20190228524A1 (en) * 2018-01-23 2019-07-25 Beijing Curacloud Technology Co., Ltd. System and method for medical image management

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170326332A1 (en) * 2014-03-06 2017-11-16 Virtual Reality Medical Applications, Inc. Virtual Reality Medical Application System
US20170308656A1 (en) * 2016-03-10 2017-10-26 Siemens Healthcare Gmbh Content-based medical image rendering based on machine learning
WO2018026431A1 (en) * 2016-08-01 2018-02-08 12 Sigma Technologies Computer-aided diagnosis system for medical images using deep convolutional neural networks
WO2018048575A1 (en) * 2016-09-07 2018-03-15 Elekta, Inc. System and method for learning models of radiotherapy treatment plans to predict radiotherapy dose distributions
US20190209116A1 (en) * 2018-01-08 2019-07-11 Progenics Pharmaceuticals, Inc. Systems and methods for rapid neural network-based image segmentation and radiopharmaceutical uptake determination
US20190228524A1 (en) * 2018-01-23 2019-07-25 Beijing Curacloud Technology Co., Ltd. System and method for medical image management

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