A framework for breast cancer visualization using augmented reality x-ray vision technique in mobile technology

Hameedur Rahman, Haslina Arshad, Rozi Mahmud, Zainal Rasyid Mahayuddin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Breast Cancer patients who require breast biopsy has increased over the past years. Augmented Reality guided core biopsy of breast has become the method of choice for researchers. However, this cancer visualization has limitations to the extent of superimposing the 3D imaging data only. In this paper, we are introducing an Augmented Reality visualization framework that enables breast cancer biopsy image guidance by using X-Ray vision technique on a mobile display. This framework consists of 4 phases where it initially acquires the image from CT/MRI and process the medical images into 3D slices, secondly it will purify these 3D grayscale slices into 3D breast tumor model using 3D modeling reconstruction technique. Further, in visualization processing this virtual 3D breast tumor model has been enhanced using X-ray vision technique to see through the skin of the phantom and the final composition of it is displayed on handheld device to optimize the accuracy of the visualization in six degree of freedom. The framework is perceived as an improved visualization experience because the Augmented Reality x-ray vision allowed direct understanding of the breast tumor beyond the visible surface and direct guidance towards accurate biopsy targets.

Original languageEnglish
Title of host publication2nd International Conference on Applied Science and Technology 2017, ICAST 2017
PublisherAmerican Institute of Physics Inc.
Volume1891
ISBN (Electronic)9780735415737
DOIs
Publication statusPublished - 3 Oct 2017
Event2nd International Conference on Applied Science and Technology 2017, ICAST 2017 - Langkawi, Kedah, Malaysia
Duration: 3 Apr 20175 Apr 2017

Other

Other2nd International Conference on Applied Science and Technology 2017, ICAST 2017
CountryMalaysia
CityLangkawi, Kedah
Period3/4/175/4/17

Fingerprint

breast
cancer
x rays
tumors
degrees of freedom

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Rahman, H., Arshad, H., Mahmud, R., & Mahayuddin, Z. R. (2017). A framework for breast cancer visualization using augmented reality x-ray vision technique in mobile technology. In 2nd International Conference on Applied Science and Technology 2017, ICAST 2017 (Vol. 1891). [020116] American Institute of Physics Inc.. https://doi.org/10.1063/1.5005449

A framework for breast cancer visualization using augmented reality x-ray vision technique in mobile technology. / Rahman, Hameedur; Arshad, Haslina; Mahmud, Rozi; Mahayuddin, Zainal Rasyid.

2nd International Conference on Applied Science and Technology 2017, ICAST 2017. Vol. 1891 American Institute of Physics Inc., 2017. 020116.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rahman, H, Arshad, H, Mahmud, R & Mahayuddin, ZR 2017, A framework for breast cancer visualization using augmented reality x-ray vision technique in mobile technology. in 2nd International Conference on Applied Science and Technology 2017, ICAST 2017. vol. 1891, 020116, American Institute of Physics Inc., 2nd International Conference on Applied Science and Technology 2017, ICAST 2017, Langkawi, Kedah, Malaysia, 3/4/17. https://doi.org/10.1063/1.5005449
Rahman H, Arshad H, Mahmud R, Mahayuddin ZR. A framework for breast cancer visualization using augmented reality x-ray vision technique in mobile technology. In 2nd International Conference on Applied Science and Technology 2017, ICAST 2017. Vol. 1891. American Institute of Physics Inc. 2017. 020116 https://doi.org/10.1063/1.5005449
Rahman, Hameedur ; Arshad, Haslina ; Mahmud, Rozi ; Mahayuddin, Zainal Rasyid. / A framework for breast cancer visualization using augmented reality x-ray vision technique in mobile technology. 2nd International Conference on Applied Science and Technology 2017, ICAST 2017. Vol. 1891 American Institute of Physics Inc., 2017.
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