Liver cancer detection

1. A system for determining a tumor from image data obtained from a functional scanner, the system comprising one or more hardware processors configured to:

determine a region of interest corresponding to an anatomical feature from image data taken at a first time;

identify a portion within the region of interest that varies in intensity with its corresponding neighboring portion by a threshold;

fit a shape from the identified portion that includes an entire volume of a suspected tumor mass;

determine a first volume of the fitted shape based on dimensions of the fitted shape;

determine a second volume of functional tissue within the fitted shape based on a concentration of isotope intensities;

determine a third volume of the suspected tumor mass based on a difference between the determined first volume and the determined second volume;

track the fitted shape over time with image data obtained at a second time of the suspected tumor mass; and

determine that the suspected tumor mass corresponds to a tumor based on the tracking and that the third volume corresponds to the tumor's volume.

2. The system of claim 1 , wherein the one or more hardware processors are further configured to determine the third volume of the tumor without identifying a boundary of the tumor.

3. The system of claim 2 , wherein the volume of the tumor is further determined based on subtracting a functioning tissue volume in a shape including the tumor from the shape's volume.

4. The system of claim 1 , wherein the fitted shape comprises a 3D ellipsoid.

5. The system of claim 1 , wherein the fitted shape comprises a 3D tubular shape.

6. The system of claim 1 , wherein the one or more hardware processors are further configured to determine that the fitted shape corresponds to a blood vessel or a cyst.

7. The system of claim 1 , wherein the one or more hardware processors are further configured to pre-process the image data.

8. The system of claim 7 , wherein the pre-processing comprises at least one or more of: boosting resolution, sharpening, slicing, or dicing.

9. The system of claim 1 , wherein the one or more hardware processors are further configured to display results of the determination.

10. A method for determining a tumor from image data obtained from a functional scanner, the method comprising:

determining a region of interest corresponding to an anatomical feature from image data taken at a first time;

identifying a portion within the region of interest that varies in intensity with its corresponding neighboring portion by a threshold;

fitting a shape from the identified portion that includes an entire volume of a suspected tumor mass;

determining a first volume of the fitted shape based on dimensions of the fitted shape;

determining a second volume of functional tissue within the fitted shape based on a concentration of isotope intensities;

determining a third volume of the suspected tumor mass based on a difference between the determined first volume and the determined second volume;

tracking the fitted shape over time with image data obtained at a second time of the suspected tumor mass; and

determining that the suspected tumor mass corresponds to a tumor based on the tracking and that the third volume corresponds to the tumor's volume.

11. The method of claim 10 , further comprising determining a volume of the tumor without identifying a boundary of the tumor.

12. The method of claim 11 , wherein the volume of the tumor is further determined based on subtracting a functioning tissue volume in a shape including the tumor from the shape's volume.

13. The method of claim 10 , further comprising determining that the fitted shape corresponds to a blood vessel or a cyst.

14. The method of claim 10 , further comprising pre-processing the image data.

15. The method of claim 10 , wherein the region of interest correspond to a liver.

16. A system of determining a tumor volume from image data obtained from a functional scanner, the system comprising one or more hardware processors configured to:

identify a portion within a region of interest corresponding to a liver that varies in intensity with its corresponding neighboring portion by a threshold; and

determine a volume of the portion without identifying a boundary of the portion wherein the determination of said volume of the portion comprises:

determining a first volume of a shape that includes the identified portion; and

determining a second volume of a functional tissue within the shape based on a concentration of isotope intensities;

wherein is the volume of the portion is based on a difference between the determined first volume and the determined second volume.

17. The system of claim 16 , wherein the volume is confirmed as a tumor based on fitting a shape from the identified portion.

18. The system of claim 17 , wherein the volume is further confirmed as the tumor based on tracking the portion over time.