Method and system for predicting location and depth of abnormal tissue in breast of subject

A prediction system (101) for predicting a location of abnormal tissue in a breast tissue of a subject, comprising:

• a processor (113);
• and
• a memory (111) communicatively coupled to the processor (113), wherein the memory (111) stores processor instructions, which, on execution, causes the processor (113) to:
• receive a plurality of the first set of temperature values associated with pre-determined positions on a breast of the subject from wearable a device, wherein the wearable device comprises a plurality of thermal sensors locatable on the pre-determined positions of the breast of the subject;
• estimate a plurality of the second set of temperature values with corresponding location on the breast of the subject, based on of triangular patterns and rectangular patterns formed on a pre-defined model of the breast of the subject, thermal conductivity of the breast tissue, two-dimensional coordinates on at least one of the triangular patterns and the rectangular patterns and temperature values at steady state of the breast tissue of the subject, wherein the plurality of the second set of temperature values refer to a range of temperature values falling within boundaries defined between minimum and maximum temperature values of the plurality of the first set of temperature values;
• wherein, the plurality of the second set of temperature values is estimated by interpolating the plurality of first set of temperature values using at least one of Finite Element Method (FEM) and Finite Volume Method (FVM) technique;
• generate a two-dimensional thermal image of the breast of the subject, based on the plurality of the first set of the temperature values and the plurality of the second set of temperature values;
• and
• predict a location of abnormal tissue in the breast tissue of the subject, based on the two-dimensional thermal image, wherein the location of the abnormal tissue is predicted by the two-dimensional coordinates associated with an abnormal temperature value, among the plurality of the first set of temperature values and the plurality of the second set of temperature values.

A non-transitory computer readable medium including instruction stored thereon that when processed by at least one processor (113) cause a prediction system (101) to perform operation comprising:

• receiving a plurality of the first set of temperature values associated with pre-determined positions on a breast of a subject from a wearable device, wherein the wearable device comprises a plurality of thermal sensors locatable on the pre-determined positions of the breast of the subject;
• estimating a plurality of the second set of temperature values with corresponding locations on the breast of the subject, based on of triangular patterns and rectangular patterns formed on a pre-defined model of the breast of the subject, thermal conductivity of the breast tissue, two-dimensional coordinates on at least one of the triangular patterns and the rectangular patterns and temperature values at steady state of the breast tissue of the subject, wherein the plurality of the second set of temperature values refer to a range of temperature values falling within boundaries defined between minimum and maximum temperature values of the plurality of the first set of temperature values;
• wherein, the plurality of the second set of temperature values is estimated by interpolating the plurality of the first set of temperature values using at least one of Finite Element Method (FEM) and Finite Volume Method (FVM) technique;
• generating a two-dimensional thermal image of the breast of the subject, based on the plurality of the first set of the temperature values and the plurality of the second set of temperature values;
• and
• predicting a location of abnormal tissue in the breast tissue of the subject, based on the two-dimensional thermal image, wherein the location of the abnormal tissue is predicted by the two-dimensional coordinates associated with an abnormal temperature value, among the plurality of the first set of temperature values and the plurality of the second set of temperature values.