Volume 8, No. 5, September 2019

General Information

  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian R. McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
  • Abstracting/Indexing: Scopus (since 2016), CNKI, Google Scholar, Crossref, etc.
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International Journal of Mechanical Engineering and Robotics Research
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Implicit Volume Ray Cast Mesh Renderer for Breast Cancer Detection

F. F. Ting and K.S. Sim
Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Melaka, Malaysia

Abstract—A 3D reconstruction method using Implicit Volume Ray Cast Mesh Renderer is proposed to construct a 3D model from a series of real patient breast images. This method aims to visualize the diagnosed result from the 2D gray scale Digital Imaging and Communications in Medicine (DICOM) images. It provides an interactive 3D model for medical doctors to have a better explanation regarding the diagnosed results to the patients. A series of 2D breast DICOM images are generated by using magnetic resonance imaging (MRI). Then, the images are sorted by using the directory reconstruction system. After the breast images are sorted, implicit ray cast algorithm and Otsu’s multi threshold are employed for 3D reconstruction of breast cancer images and overlay with segmented breast cancer lesion. By comparing the proposed method with existing commercial software, the proposed method has utilized the breasts lesion detection to classify breast lesions during the 3D reconstruction process. Moreover, the tabulated results show that proposed method outperforms other commercial software. 

Index Terms—breast cancer, medical imaging, image processing, volume rendering, and breast cancer visualization

Cite: F. F. Ting and K.S. Sim, "Implicit Volume Ray Cast Mesh Renderer for Breast Cancer Detection" International Journal of Mechanical Engineering and Robotics Research, Vol. 8, No. 5, pp. 803-806, September 2019. DOI: 10.18178/ijmerr.8.5.803-806