Tracking kidney tumor dimensional measurements via image morphing
Nathaniel K. Strawn, Jianhua Yao · 2010
Monitoring the evolution of renal cancer is essential in clinical oncology trials. However, manual tumor measurements are subjective and inconsistent. We have developed and implemented an efficient image-morphing-based method to track dimensional measurements in serial medical images. Our method extracts feature blocks centered at edges detected in source and target images, and then applies a fast, approximate nearest-neighbor algorithm to match these features. This matching gives rise to a global feature flow, and this feature flow can be used to track dimensional measurements.