A Survey on Segmentation Based Correction of Partial Volume Artifacts for the Accurate Volumetric Measurement of Solid Lung Lesions on CT Images
In medical application, estimating the accurate volume of a tumor needs measurement of the change in its size. This is an important issue for monitoring the cancer therapeutics and this requires tumor's description in three dimension (3 D) For achieving this, segmentation should be performed. Segmentation is used to find the tumor area on the captured lung image from the Computed Tomography (CT) scan report. Segmentation can be performed using different methods. But there is a challenging feature present on the CT medical images which is called partial volume artifacts. The partial volume effect (PVE) is a significant limitation in medical imaging that results in blurring when the boundary between two features of interest falls within a voxel. The removal of these artifacts is also a major concern for volumetric measurements. This paper is a survey on segmentation based partial volume correction which is useful for volume measurement of solid lung lesions on CT images. Survey involves different 3 D segmentation methods and partial volume correction procedures for accurate volumetric measurements.