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Multiview Contouring for Breast Tumor on Magnetic Resonance Imaging

  • Dar-Ren Chen
  • Yao-Wen Chang
  • Hwa-Koon Wu
  • Wei-Chung Shia
  • Yu-Len HuangEmail author
Article
  • 25 Downloads

Abstract

The shape and contour of the lesion are shown to be effective features for physicians to identify breast tumor as benign or malignant. The region of the lesion is usually manually created by the physician according to their clinical experience; therefore, contouring tumors on breast magnetic resonance imaging (MRI) is difficult and time-consuming. For this purpose, an automatic contouring method for breast tumors was developed for less burden in the analysis and to decrease the observed bias to help in making decisions clinically. In this study, a multiview segmentation method for detecting and contouring breast tumors in MRI was represented. The preprocessing of the proposed method reduces any amount of noises but preserves the shape and contrast of the breast tumor. The two-dimensional (2D) level-set segmentation method extracts contours of breast tumors from the transverse, coronal, and sagittal planes. The obtained contours are further utilized to generate appropriate three-dimensional (3D) contours. Twenty breast tumor cases were evaluated and the simulation results show that the proposed contouring method was an efficient method for delineating 3D contours of breast tumors in MRI.

Keywords

Breast cancer MRI Image segmentation Level-set method Multiview contouring 

Notes

Funding Information

The authors would like to thank the Ministry of Science and Technology, Taiwan, for financially supporting this research under Contract No. MOST 106-2221-E-029-029.

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Copyright information

© Society for Imaging Informatics in Medicine 2019

Authors and Affiliations

  1. 1.Breast Cancer CenterChanghua Christian HospitalChanghuaTaiwan
  2. 2.Department of Computer ScienceTunghai UniversityTaichungTaiwan
  3. 3.Department of Medical ImagingChanghua Christian HospitalChanghuaTaiwan

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