Classifications

• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
  • A61B8/0891—Detecting organic movements or changes, e.g. tumours, cysts, swellings for diagnosis of blood vessels
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B8/12—Diagnosis using ultrasonic, sonic or infrasonic waves in body cavities or body tracts, e.g. by using catheters
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B8/48—Diagnostic techniques
  • A61B8/485—Diagnostic techniques involving measuring strain or elastic properties
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06F—ELECTRIC DIGITAL DATA PROCESSING
  • G06F30/00—Computer-aided design [CAD]
  • G06F30/20—Design optimisation, verification or simulation
  • G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T7/00—Image analysis
  • G06T7/0002—Inspection of images, e.g. flaw detection
  • G06T7/0012—Biomedical image inspection
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T7/00—Image analysis
  • G06T7/10—Segmentation; Edge detection
  • G06T7/11—Region-based segmentation
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T7/00—Image analysis
  • G06T7/10—Segmentation; Edge detection
  • G06T7/13—Edge detection
• • 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
  • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
  • A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
  • A61B8/0833—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving detecting or locating foreign bodies or organic structures
  • A61B8/085—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving detecting or locating foreign bodies or organic structures for locating body or organic structures, e.g. tumours, calculi, blood vessels, nodules
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2207/00—Indexing scheme for image analysis or image enhancement
  • G06T2207/10—Image acquisition modality
  • G06T2207/10132—Ultrasound image
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2207/00—Indexing scheme for image analysis or image enhancement
  • G06T2207/20—Special algorithmic details
  • G06T2207/20112—Image segmentation details

Definitions

• the present invention relates to the general technical field of image processing in structural mechanics, and in particular to image processing for the resolution of inverse problems in linear elasticity.
• IVUS intravascular ultrasound
• IV-MRI Magnetic resonance imaging
• Iterative reconstruction methods generally consist of:
• o [Q '] represents the matrix of reduced structure, and [Q'] T its transpose, o ⁇ R ⁇ represents the matrix of the field of elasticities of the body at the nodes, where ⁇ F ' ⁇ represents the reduced matrix of the force field applied to the nodes;
• o Define a mesh of the deformation image by implementing a finite element method, the mesh being composed of a plurality of elementary cells each delimiting the same material and each comprising at least three nodes, each node belonging to one or more several adjacent cells of the mesh,
• FIGS. 3A and 3B illustrate elementary cells enriched (FIG. 3B) and not enriched (FIG. 3A).
• a disadvantage of this method is the use of continuous spatial shape functions. This does not allow to characterize the bodies having high discontinuities of the materials. Moreover, since this reconstruction method is iterative, it does not make it possible to reconstruct an image representing the different elasticities of a body in real time.
• the present invention has therefore been developed to allow a real time reconstruction of an image representing the different elasticities of a body composed of at least two areas having a discontinuity of matter.
• the new method described below is based on a finite element analysis (FEM) method to obtain a mesh of the studied body.
• the mesh is composed of a plurality of cells, the outlines of each cell delimiting a material with its own mechanical properties. This process was developed using the nodal mechanical property approach (PMN).
• PMN nodal mechanical property approach
• the method according to the invention comprises the following steps: Reception (step 100) of a deformation image illustrating a field of displacement or deformation of the points of the body as a function of a pressure difference in the body,
• the step of segmenting the deformation image makes it possible to obtain a segmented deformation image comprising a plurality of regions delimited by their contour.
• Each region of the plurality of regions is representative of an area of the body to be studied, and more specifically of an area of the body that is supposed to be in a material different from the surrounding area (s).
• a first region delimits, for example, a lipid inclusion of the atheroma plaque, a second region delimits a calcium inclusion, etc. More specifically, the segmentation step makes it possible to detect the contours of the various inclusions of the atheromatous plaque, and in particular:
• a first pair of enrichment variables is assigned to the node N14 of the elementary cell delimiting a portion of the first region M1
• a second pair of enrichment variables is assigned to the node N15 of the elementary cell delimiting a portion of the second region M2
• a third pair of enrichment variables is assigned to the common node N16 of the elementary cells delimiting a portion of the third region M3.
• ⁇ and ⁇ are the Lamé coefficients associated with the properties of the cell materials, and [K] is the global symmetric stiffness matrix.
• Figures 3A and 3B illustrate the application of this rule to the simple example of the plate.

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• Engineering & Computer Science (AREA)
• Health & Medical Sciences (AREA)
• Life Sciences & Earth Sciences (AREA)
• Physics & Mathematics (AREA)
• Medical Informatics (AREA)
• General Health & Medical Sciences (AREA)
• Biomedical Technology (AREA)
• Public Health (AREA)
• Radiology & Medical Imaging (AREA)
• Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
• Pathology (AREA)
• Theoretical Computer Science (AREA)
• Biophysics (AREA)
• Veterinary Medicine (AREA)
• Animal Behavior & Ethology (AREA)
• Surgery (AREA)
• Molecular Biology (AREA)
• Heart & Thoracic Surgery (AREA)
• Computer Vision & Pattern Recognition (AREA)
• General Physics & Mathematics (AREA)
• Vascular Medicine (AREA)
• Computer Hardware Design (AREA)
• Evolutionary Computation (AREA)
• Geometry (AREA)
• General Engineering & Computer Science (AREA)
• Quality & Reliability (AREA)
• Databases & Information Systems (AREA)
• Primary Health Care (AREA)
• Epidemiology (AREA)
• Data Mining & Analysis (AREA)
• Ultra Sonic Daignosis Equipment (AREA)

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• 2013
  • 2013-09-03 FR FR1358425A patent/FR3010218B1/fr not_active Expired - Fee Related
• 2014
  • 2014-09-03 EP EP14777693.4A patent/EP3041417A1/de not_active Withdrawn
  • 2014-09-03 US US14/915,690 patent/US10007983B2/en not_active Expired - Fee Related
  • 2014-09-03 WO PCT/FR2014/052172 patent/WO2015033058A1/fr active Application Filing
  • 2014-09-03 JP JP2016539616A patent/JP2016529054A/ja active Pending

Non-Patent Citations (2)

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