Abstract: Methods and systems for determining a tumor volume from image data obtained from a functional scanner. The methods and systems can include identifying a portion within a region of interest corresponding to a liver that varies in intensity with its corresponding neighboring portion by a threshold. The method and systems can further include determining a volume of the portion without identifying a boundary of the portion. The portion can also be tracked over time. The image data can include a scan from a SPECT scanner.

Abstract: Methods and systems for determining a tumor volume from image data obtained from a functional scanner. The methods and systems can include identifying a portion within a region of interest corresponding to a liver that varies in intensity with its corresponding neighboring portion by a threshold. The method and systems can further include determining a volume of the portion without identifying a boundary of the portion. The portion can also be tracked over time. The image data can include a scan from a SPECT scanner.

Abstract: Systems and methods for determining an objective metric for analyzing health of a patient's liver are described. In some embodiments, the system may include a scanner that can detect radiation counts responsive to administration of radioactive compound to a patient. Further, the system may include an image detection module that can access image data responsive to the detected radiation counts by the scanner. The image detection module can programmatically identify a first region of interest corresponding to a liver of the patient from the image data. A parameter calculator module can programmatically determine a first attribute associated with the first region of interest and calculate a first parameter indicating health of the liver of the patient based at least in part on the first attribute associated with the first region of interest.