Detection of brain tumor margins using optical coherence tomography

Ronald M. Juarez-Chambi, Carmen Kut, Jesus Rico-Jimenez, Daniel U. Campos-Delgado, Alfredo Quinones-Hinojosa, Xingde Li, Javier Jo

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

Abstract

In brain cancer surgery, it is critical to achieve extensive resection without compromising adjacent healthy, noncancerous regions. Various technological advances have made major contributions in imaging, including intraoperative magnetic imaging (MRI) and computed tomography (CT). However, these technologies have pros and cons in providing quantitative, real-time and three-dimensional (3D) continuous guidance in brain cancer detection. Optical Coherence Tomography (OCT) is a non-invasive, label-free, cost-effective technique capable of imaging tissue in three dimensions and real time. The purpose of this study is to reliably and efficiently discriminate between non-cancer and cancerinfiltrated brain regions using OCT images. To this end, a mathematical model for quantitative evaluation known as the Blind End-Member and Abundances Extraction method (BEAE). This BEAE method is a constrained optimization technique which extracts spatial information from volumetric OCT images. Using this novel method, we are able to discriminate between cancerous and non-cancerous tissues and using logistic regression as a classifier for automatic brain tumor margin detection. Using this technique, we are able to achieve excellent performance using an extensive cross-validation of the training dataset (sensitivity 92.91% and specificity 98.15%) and again using an independent, blinded validation dataset (sensitivity 92.91% and specificity 86.36%). In summary, BEAE is well-suited to differentiate brain tissue which could support the guiding surgery process for tissue resection.

Original languageEnglish (US)
Title of host publicationOptical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII
PublisherSPIE
Volume10483
ISBN (Electronic)9781510614512
DOIs
StatePublished - Jan 1 2018
EventOptical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII 2018 - San Francisco, United States
Duration: Jan 29 2018Jan 31 2018

Other

OtherOptical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII 2018
CountryUnited States
CitySan Francisco
Period1/29/181/31/18

Keywords

  • Brain Cancer
  • Image-guided surgery
  • Machine Learning
  • Optical Coherence Tomography
  • Quadratic Optimization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Detection of brain tumor margins using optical coherence tomography'. Together they form a unique fingerprint.

  • Cite this

    Juarez-Chambi, R. M., Kut, C., Rico-Jimenez, J., Campos-Delgado, D. U., Quinones-Hinojosa, A., Li, X., & Jo, J. (2018). Detection of brain tumor margins using optical coherence tomography. In Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII (Vol. 10483). [104832Y] SPIE. https://doi.org/10.1117/12.2292136