Detection and characterization of cancerous tumors
Processes and techniques are disclosed to identify regions of suspected malignancy and their localization within a body part or organ. These methods rely on the analysis of infrared images to identify thermal abnormalities using image post-processing techniques, numerical modeling, iterative solutions methodology or a digital library. The methods utilize noninvasive, non-radiative and no contact infrared imaging that can be used for breast cancer screening for improved prognosis.
1. A method for determining the presence of angiogenesis or increased perfusion rate in a region of a body part, comprising:
obtaining multi-view images of a body part, wherein the multi-view images comprise infrared images depicting a temperature distribution at the surface of the body part;
obtaining a 3-D digital model representing the surface and internal tissue of the body part;
generating a 3-D phantom thermal model by assigning values to selected parameters in the 3-D digital model of the body part and the surroundings and solving heat transfer equations, wherein the 3-D phantom thermal model comprises phantom thermal images of the surface of the body part;
comparing the phantom thermal images of the surface of the body part with the infrared images depicting a temperature distribution at the surface of the body part; and
identifying the values of the selected parameters generating the phantom thermal images matching the infrared thermal images.
2. The method of claim 1 , wherein the parameters include thermal conductivity of healthy tissue, metabolic activity of healthy tissue, perfusion rate of healthy tissue, perfusion rate in an area affected by increased vasculature from angiogenesis, temperature of tissue at selected locations, heat transfer coefficient, heat transfer boundary conditions, emissivity of skin surface, heat transfer parameters representing a surface of the body part and surroundings, size of the regions of angiogenesis or increased perfusion rate location of the region of angiogenesis or increased perfusion rate, or combinations thereof.
3. The method of claim 2 , wherein the selected parameters indicate a suspected malignancy.
4. The method of claim 1 , wherein the 3-D digital model is obtained from the multi-view images.
5. The method of claim 1 , wherein the 3-D digital model is obtained from a library of 3-D digital models representative of the body part.
6. The method of claim 1 , wherein the matching is performed by an iterative process.
7. The method of claim 1 , wherein the 3-D phantom thermal model is obtained from a library of 3-D phantom thermal models.
8. The method of claim 1 , wherein the body part is a female breast.
9. The method of claim 1 , wherein the multi-view images of the body part are obtained from an individual disposed in a prone position.
10. The method of claim 9 , wherein the body part is a female breast, further comprising hanging both breasts freely from a table and pulling one breast out of the way with a separating fabric to obtain a clear view of the other breast being imaged.
11. The method of claim 1 , wherein the 3-D digital model of the body part is generated from infrared, optical, ultrasound, magnetic resonance, outline capture techniques, shadow techniques, or X-ray multi-view images.
12. The method of claim 1 , wherein the matching is conducted by iteratively improving the match between the surface infrared images and the phantom thermal images until a defined convergence criterion is met.
13. The method of claim 1 , wherein the surface infrared images and the phantom thermal images are aligned using image registration in order to compare the surface infrared images and the generated phantom thermal images.
14. The method of claim 5 , wherein various geometric identifiers comprising breast shape, breast size, breast circumference, distance from chest wall to nipple, or volume are utilized in obtaining the 3-D digital model from the library.