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Lung Cancer Diagnosis Based on Image Fusion and Prediction Using CT and PET Image

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Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems

Abstract

Capturing analytical data from the fusion of medical images is a demand and emerging area of exploration. A vast area of applications of image fusion demonstrates its importance in the examination of diseases and surgical outline. The project intends to authorize a simple as well as effective fusion routine to examine lung cancer. A methodology is developed to strengthen the lung tumour examination for mass screening; CT (computerized tomography) along with PET (positron emission tomography) images are fused effectively. The existing system automatically differentiates the lung cancer for PET/CT images using framework study, and Fuzzy C-Means (FCM) was developed successfully. The pre-processing approach strengthens the certainty of the cancer revelation. Semantic operations implement authentic lung ROI extraction. But the elementary problem is the directionality and phase information cannot be resolved. To defeat this problem Dual-Tree Complex Wavelet Transform (DTCWT) is used in the proposed model that presents a method for image fusion. When Dual-Tree Complex Wavelet Transform (DTCWT) is correlated to the Discrete Wavelet Transform (DWT), the fusion outcome is improved a lot. It also improves the accuracy of PSNR, entropy, and similarity value. Segmentation supports to positively evaluate the outline of the cancer cells and spot the exact location of those cells. The prediction of lung cancer can be done by the decision tree algorithm. The proposed system presents a region growing technique for segmentation. CT, PET, and fused images are segmented.

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Author information

Authors and Affiliations

  1. St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India

    J. Dafni Rose, K. Jaspin & K. Vijayakumar

Authors
  1. J. Dafni Rose
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  2. K. Jaspin
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  3. K. Vijayakumar
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Editor information

Editors and Affiliations

  1. Electronics and Communication Engineering, Sri Sairam Engineering College, Chennai, Tamil Nadu, India

    E. Priya

  2. Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai, Tamil Nadu, India

    V. Ra**ikanth

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Dafni Rose, J., Jaspin, K., Vijayakumar, K. (2021). Lung Cancer Diagnosis Based on Image Fusion and Prediction Using CT and PET Image. In: Priya, E., Ra**ikanth, V. (eds) Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-6141-2_4

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