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Contrast Stretching-Based Unwanted Artifacts Removal from CT Images

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1036))

Abstract

This paper presents a contrast stretching-based image enhancement technique to remove unwanted artifacts, such as flesh and to enhance bony regions from Computed Tomographic (CT) images. Our technique is based on enhancing the dynamic range of the image by linear contrast stretching through histogram modeling and intensity transformation function. The intensity range: low and high-intensity values are heuristically computed, and squared shape mask is moved to clean the image further. Experiments are carried out on several patient-specific CT images (source: Prism Medical Diagnostics lab, Chhatrapati Shivaji Maharaj Sarvopachar Ruganalay and Ashwini Hospital, India). Our results show that the technique provides the reliable promising results. Besides, the tool is simple, faster and easy to implement.

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Notes

  1. 1.

    Communicated fracture: Type of fracture in which bone is broken into multiple pieces possibly with dislocation.

  2. 2.

    DICOM: Digital Imaging and Communications in Medicine.

  3. 3.

    HIPPA: Health Insurance Portability and Accountability Act.

  4. 4.

    IRB: Institutional Review Board.

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Acknowledgments

Authors thank the Ministry of Electronics and Information Technology (MeitY), New Delhi for granting Visvesvaraya Ph.D. fellowship through file no. PhD-MLA\(\backslash \)4(34)\(\backslash \)201-1. Dated: 05/11/2015.

The first author would like to thank Dr. Jamma and Dr. Jagtap for providing expert guidance on bone anatomy. Along with this, he also would like to thank, Prism Medical Diagnostics lab, Chhatrapati Shivaji Maharaj Sarvopachar Ruganalay and Ashwini Hospital for providing patient-specific CT images.

Author information

Authors and Affiliations

  1. Department of Computer Science, Solapur University, Solapur, 413255, Maharastra, India

    Darshan D. Ruikar & Ravindra S. Hegadi

  2. Department of Computer Science, University of South Dakota, 414 E Clark St, Vermillion, SD, 57069, USA

    K. C. Santosh

Authors
  1. Darshan D. Ruikar
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  2. K. C. Santosh
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  3. Ravindra S. Hegadi
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Corresponding author

Correspondence to Darshan D. Ruikar .

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Editors and Affiliations

  1. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Solapur University, Solapur, India

    Ravindra S. Hegadi

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Ruikar, D.D., Santosh, K.C., Hegadi, R.S. (2019). Contrast Stretching-Based Unwanted Artifacts Removal from CT Images. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1036. Springer, Singapore. https://doi.org/10.1007/978-981-13-9184-2_1

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  • DOI: https://doi.org/10.1007/978-981-13-9184-2_1

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  • Print ISBN: 978-981-13-9183-5

  • Online ISBN: 978-981-13-9184-2

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