Classifications

• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
  • G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T7/00—Image analysis
  • G06T7/10—Segmentation; Edge detection
  • G06T7/12—Edge-based segmentation
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T7/00—Image analysis
  • G06T7/10—Segmentation; Edge detection
  • G06T7/149—Segmentation; Edge detection involving deformable models, e.g. active contour models
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2207/00—Indexing scheme for image analysis or image enhancement
  • G06T2207/10—Image acquisition modality
  • G06T2207/10072—Tomographic images
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2207/00—Indexing scheme for image analysis or image enhancement
  • G06T2207/10—Image acquisition modality
  • G06T2207/10116—X-ray image
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2207/00—Indexing scheme for image analysis or image enhancement
  • G06T2207/30—Subject of image; Context of image processing
  • G06T2207/30004—Biomedical image processing

Definitions

• an object of the invention proposes an image processing system having image data processing means for automatic adaptation of the mapping of a 3-D Mesh Model onto a three dimensional surface of an object represented in a gray level image; and having viewing means for displaying quantified and visual indications of the confidence of such a Mesh Model adaptation onto said object surface, in a coded manner, preferably in a color coded manner.
• the system processing means uses the system processing means, the three-dimensional surface of the three dimensional object of interest is registered in a three dimensional gray level image.
• the three dimensional Simplex Mesh Model is fitted onto the three dimensional surface according to a mesh model technique for fitting at best said surface.
• FIG. IB represents an object of interest (an organ) with a Mesh Model (a sphere) for segmenting this object using a Mesh Model deformation technique and the adaptation technique of the invention
• the complex surface OBJ poses a problem when the segmentation method described above is applied.
• the present invention is able to solve this problem.
• the surface denoted by OBJ, represented in FIG.IA and IB, has been chosen in order to demonstrate that the method of the invention may be applied to a great number of different and complex surfaces.
• the image segmentation method is based on utilization of discrete deformable models, like 2-Simplex Meshes Model described as prior art [Delingette].
• a three dimensional digital Simplex Mesh Model is generated as illustrated by FIG.1 A or FIG. IB.
• This refinement consists in introducing an algorithm for automatically increasing the Mesh resolution at parts of high curvature and at parts whose distance to the image data is higher than a threshold. Hence, at each iteration, the area of the spherical cells decreases. So, according to the known technique, since when the distance to the image data is large, as shown in FIG.IA, the surface of the cells decreases and the number of cells increases, the refinement algorithm would be unable to improve the result in said parts P'l, P'2.
• the automated technique of estimation of the adaptation comprises sub-steps of: 4.1) Constructing a Color Coding Table wherein predetermined colors are associated with given feature confidence for model adaptation represented by the confidence parameter.
• the present invention provides a visualization of the cells that are color coded in function of the confidence parameter. This visualization with different colors allows to supervise the deformation process and to locally assess its final quality.
• a predetermined color may be associated to one confidence parameter value; colors maybe classified in classes of colors, each class of colors corresponding to a range of confidence parameter values; each class of color may further be sub-divided according to a scale of hues for sub-dividing the range of confidence parameter values;
• FIG.3 shows a diagram of an image processing system 150 according to the invention for carrying out all the steps of the above-described method.
• the system has means 151 for acquiring digital image data of a sequence of images, and is coupled to computer means 153 for processing these data according to the processing steps of the method cited above.
• the medical viewing system can be used in the intervention room or near the intervention room for processing real time images. Steps of the present method can be applied on stored medical images, for example for estimating medical parameters.
• the medical viewing system provides the image data by connection 157 to the system 153.
• the system provides processed image data to display means and/or storage means.
• the display means 154 may be a screen.
• the storage means may be a memory of the system 153. Said storage means may be alternately external storage means.

Landscapes

• Engineering & Computer Science (AREA)
• Physics & Mathematics (AREA)
• Theoretical Computer Science (AREA)
• General Physics & Mathematics (AREA)
• Computer Vision & Pattern Recognition (AREA)
• Software Systems (AREA)
• Computer Graphics (AREA)
• Quality & Reliability (AREA)
• Radiology & Medical Imaging (AREA)
• Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
• Medical Informatics (AREA)
• General Health & Medical Sciences (AREA)
• Health & Medical Sciences (AREA)
• Geometry (AREA)
• Image Processing (AREA)
• Measuring And Recording Apparatus For Diagnosis (AREA)
• Image Analysis (AREA)
• Processing Or Creating Images (AREA)
• Heating, Cooling, Or Curing Plastics Or The Like In General (AREA)
• Coating With Molten Metal (AREA)
• Apparatus For Radiation Diagnosis (AREA)
• Magnetic Resonance Imaging Apparatus (AREA)
• Image Generation (AREA)
• Ultra Sonic Daignosis Equipment (AREA)

Priority Applications (5)

Applications Claiming Priority (2)

Publications (2)

Family

ID=32319683

Family Applications (1)

Country Status (7)

Cited By (7)

Families Citing this family (22)

Family Cites Families (10)

• 2003
  • 2003-11-14 JP JP2004553008A patent/JP2006506164A/ja not_active Withdrawn
  • 2003-11-14 AT AT03769837T patent/ATE354140T1/de not_active IP Right Cessation
  • 2003-11-14 WO PCT/IB2003/005168 patent/WO2004047030A2/en not_active Ceased
  • 2003-11-14 DE DE60311865T patent/DE60311865T2/de not_active Expired - Lifetime
  • 2003-11-14 AU AU2003278538A patent/AU2003278538A1/en not_active Abandoned
  • 2003-11-14 US US10/535,466 patent/US8437579B2/en active Active
  • 2003-11-14 EP EP03769837A patent/EP1565880B1/en not_active Expired - Lifetime

Also Published As

Similar Documents

Legal Events