ADAPTIVE VISUALIZATION FOR DIRECT PHYSICIAN USE
First Claim
1. A method of modifying a three dimensional (3D) volume visualization image of an anatomical structure in real time to separate desired portions thereof comprising:
- providing a two dimensional (2D) image slice of a 3D volume visualization image of an anatomical structure;
identifying portions of the anatomical structure of interest;
providing a prototype image of desired portions of the anatomical structure;
using an evolver to evolve parameters of an algorithm that employs a transfer function to map optical properties to intensity values coinciding with the portions of the anatomical structure of interest to generate an image that sufficiently matches the prototype image;
if the parameters match the prototype image, applying the transfer function to additional 2D image slices of the 3D volume visualization image to generate a modified 3D volume visualization image of the anatomical structure.
2 Assignments
0 Petitions
Accused Products
Abstract
A method of modifying a three dimensional (3D) volume visualization image of an anatomical structure in real time to separate desired portions thereof. The method includes providing a two dimensional (2D) image slice of a 3D volume visualization image of an anatomical structure, identifying portions of the anatomical structure of interest, and providing a prototype image of desired portions of the anatomical structure. The method then includes using an evolver to evolve parameters of an algorithm that employs a transfer function to map optical properties to intensity values coinciding with the portions of the anatomical structure of interest to generate an image that sufficiently matches the prototype image. If the parameters match the prototype image, the method then includes applying the transfer function to additional 2D image slices of the 3D volume visualization image to generate a modified 3D volume visualization image of the anatomical structure. The method includes using a pattern recognizer to assist the evolver, to classify whether a view is normal or abnormal, and to extract the characteristic of an abnormality if and when detected.
-
Citations
62 Claims
-
1. A method of modifying a three dimensional (3D) volume visualization image of an anatomical structure in real time to separate desired portions thereof comprising:
-
providing a two dimensional (2D) image slice of a 3D volume visualization image of an anatomical structure; identifying portions of the anatomical structure of interest; providing a prototype image of desired portions of the anatomical structure; using an evolver to evolve parameters of an algorithm that employs a transfer function to map optical properties to intensity values coinciding with the portions of the anatomical structure of interest to generate an image that sufficiently matches the prototype image; if the parameters match the prototype image, applying the transfer function to additional 2D image slices of the 3D volume visualization image to generate a modified 3D volume visualization image of the anatomical structure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
-
-
16. A method of displaying adaptive visualization on a remote client application and a three dimensional (3D) volume visualization image at centralized server application thereof comprising:
-
providing a two dimensional (2D) image slice of a 3D volume visualization image of an anatomical structure; identifying a view of interest on the remote client application; transmitting view of interest information to the centralized server application; using an evolver to evolve transfer-function-parameters of an algorithm that maps optical properties to intensity values to produce a view of interest in the form of a rendered image; using an evolver to evolve compression-parameters of an algorithm that optimizes the compression algorithm to compress the rendered image; using an evolver to evolve transmission-parameters of an algorithm that optimizes the transmission of the compressed image from the centralized server to the remote client application. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37)
-
-
38. A method of modifying a three dimensional (3D) volume visualization image of an anatomical structure in real time to separate desired portions thereof comprising:
-
providing a two dimensional (2D) image slice of a 3D volume visualization image scan of an anatomical structure; identifying a region of the 2D image slice; providing a prototype image of desired portions of the anatomical structure; creating a virtual histogram of the slice corresponding to the prototype image or 3D scan, the histogram including intensity values of the identified region of the image; using a genetic algorithm, selecting regions of the virtual histogram and marking the selected regions with one or more virtual graphical elements, each of the graphical element comprising a genotype of the genetic algorithm; using a multi dimensional transfer function (MDTF), mapping optical properties to the intensity values coinciding with the prototype slice in the marked regions of the histogram to generate an image; comparing the MDTF-generated image of the marked region with the prototype image to determine whether the MDTF-generated image of the genotype sufficiently matches the prototype image; if the MDTF-generated image sufficiently matches the prototype image, applying the MDTF to additional 2D image slices of the 3D volume visualization image to generate a modified 3D volume visualization image of the anatomical structure. - View Dependent Claims (39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60)
-
-
61. A system for modifying a three dimensional (3D) volume visualization image of an anatomical structure in real time to separate desired portions thereof, the system adapted to receive a virtual histogram of a scan, the scan based on a two dimensional (2D) image slice of a 3D volume visualization image of an anatomical structure, the histogram including intensity values of the identified region of the image;
- using a genetic algorithm, enable marking of selected regions of the virtual histogram with one or more virtual graphical elements, each of the graphical element comprising a genotype of the genetic algorithm;
using a multi dimensional transfer function (MDTF), map optical properties to the intensity values in the marked regions of the histogram;
enable comparison of the MDTF-generated optical properties of the marked region with the prototype image to determine whether the genotype sufficiently matches the prototype image; and
if the genotype sufficiently matches the prototype image, apply the genotype or MDTF to additional 2D image slices of the 3D volume visualization image to generate a modified 3D volume visualization image of the anatomical structure. - View Dependent Claims (62)
- using a genetic algorithm, enable marking of selected regions of the virtual histogram with one or more virtual graphical elements, each of the graphical element comprising a genotype of the genetic algorithm;
Specification