14149 Background: Pancreatic cancer is the second most common gastrointestinal malignancy in the United States, where it ranks 4th among all deaths caused by cancers. Early detection of pancreatic cancer remains a challange. Methods: MR images with different T1 and T2 weighting from the anatomical regions with the same imaging parameters were obtained. ISODATA segmentation algorithm, a multivariate method was used to reliable detect the various clusters in the data sets. Results: In all the four subjects, the pancreatic region was found to be from a different (and unique) cluster. This cluster covered the pancreatic region in all the four subjects. Conclusions: The ISODATA algorithm presented could detect the pancreatic region without manual tracing. No significant financial relationships to disclose.
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