Image data fraud detection systems

1. A system for detecting fraud from medical imaging data including image data and associated metadata, the system comprising:

input means arranged to receive the medical imaging data from at least one source; and

processing means arranged to analyze the medical imaging data received by the input means to determine whether it meets a fraud criterion, and if the medical imaging data does meet the fraud criterion to generate a fraud indicator output, the image data including values for each of a plurality of pixels or voxels that make up the image represented by the image data;

wherein the processing means is arranged to compare at least one parameter of the image data with a corresponding reference parameter, and the fraud criterion relates to the similarity of the parameters;

the processing means is arranged to compare one image with another using image subtraction; and

the fraud criterion relates to residuals of the image subtraction.

2. A system for detecting fraud from medical imaging data including image data and associated metadata, the system comprising:

input means arranged to receive the medical imaging data from at least one source; and

processing means arranged to analyze the medical imaging data received by the input means to determine whether it meets a fraud criterion, and if the medical imaging data does meet the fraud criterion to generate a fraud indicator output, the image data including values for each of a plurality of pixels or voxels that make up the image represented by the image data;

wherein the processing means is arranged to perform analysis of noise properties of an image being analyzed, and

the fraud criterion is arranged to be indicative of image warping.

3. A system for detecting fraud from medical imaging data including image data and associated metadata, the system comprising:

input means arranged to receive the medical imaging data from at least one source; and

processing means arranged to analyze the medical imaging data received by the input means to determine whether it meets a fraud criterion, and if the medical imaging data does meet the fraud criterion to generate a fraud indicator output, the image data including values for each of a plurality of pixels or voxels that make up the image represented by the image data;

wherein the processing means is arranged to compare at least one parameter of the image data with a corresponding reference parameter, and the fraud criterion relates to the similarity of the parameters,

the processing means is arranged to compare one image with another using image registration, and

the image registration method is based on the use of b-splines to generate a model from cohorts.

4. A system for detecting fraud from medical imaging data including image data and associated metadata, the system comprising:

input means arranged to receive the medical imaging data from at least one source; and

processing means arranged to analyze the medical imaging data received by the input means to determine whether it meets a fraud criterion, and if the medical imaging data does meet the fraud criterion to generate a fraud indicator output, the image data including values for each of a plurality of pixels or voxels that make up the image represented by the image data;

wherein the processing means is arranged to compare at least one parameter of the image data with a corresponding reference parameter, and the fraud criterion relates to the similarity of the parameters,

the reference parameter is derived from reference image data, and

the processing means is arranged to compare all images indicated as being from single subject and to identify any inconsistencies indicating that they do not appear to be from the same subject.

5. A system for detecting fraud from medical imaging data including image data and associated metadata, the system comprising:

input means arranged to receive the medical imaging data from at least one source; and

processing means arranged to analyze the medical imaging data received by the input means to determine whether it meets a fraud criterion, and if the medical imaging data does meet the fraud criterion to generate a fraud indicator output, the image data including values for each of a plurality of pixels or voxels that make up the image represented by the image data;

wherein the processing means is arranged to compare at least one parameter of the image data with a corresponding reference parameter, and the fraud criterion relates to the similarity of the parameters,

the reference parameter is derived from reference image data and the reference image data is from the same subject as an image being analyzed, and

the processing means is arranged to identify changes between images from the subject and to compare the changes with changes in the images from a plurality of reference subjects.

6. A system for detecting fraud from medical imaging data including image data and associated metadata, the system comprising:

input means arranged to receive the medical imaging data from at least one source; and

processing means arranged to analyze the medical imaging data received by the input means to determine whether it meets a fraud criterion, and if the medical imaging data does meet the fraud criterion to generate a fraud indicator output, the image data including values for each of a plurality of pixels or voxels that make up the image represented by the image data;

wherein the processing means is arranged to identify, in response to a fraud indicator output, a subset of the imaging data which met the fraud criterion and identify for further processing a group of imaging data that excludes the identified subset, and

the processing means is arranged to produce respective clinical trial results from the imaging data and the identified subset of imaging data.

7. A system according to claim 6 wherein the processing means is arranged to compare the respective trial results to determine the significance of the excluded identified subset.