A MODEL-BASED VALIDATION SCHEME FOR ORGAN SEGMENTATION IN CT SCAN

Author’s Name :  J GodlyGini | J Anishkumar | A Adlin Arul

Volume 04 Issue 02  Year 2017  ISSN No: 2349-2503  Page no: 4-9

Abstract:

In a model-based validation scheme for organ segmentation in CT scan volumes, we propose a novel approach for accurate 3-D organ segmentation in the CT scan volumes. Instead of using the organ is prior information directly in the segmentation process, here we utilize the knowledge of the organ to validate a large number of potential segmentation component analysis approach using which the fidelity of each segment to the organ is measured. The applications of the proposed method for the 3-D segmentation of human kidney and liver in computed tomography scan volumes. Implementation is the stage of the project where the theoretical design is turn in to a working system. This project is implemented in the software of MATLAB simulation language using 7.10.0(R2010a) version outcomes that are generated by a generic segmentation process. For this, an organ space is generated based on the principal

Keywords:

Model-based segmentation, model-based validation, principal component analysis (PCA), statistical model generation

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