Literature DB >> 27983569

Diffuse optical tomography for breast cancer imaging guided by computed tomography: A feasibility study.

Reheman Baikejiang, Wei Zhang, Changqing Li.   

Abstract

Diffuse optical tomography (DOT) has attracted attentions in the last two decades due to its intrinsic sensitivity in imaging chromophores of tissues such as hemoglobin, water, and lipid. However, DOT has not been clinically accepted yet due to its low spatial resolution caused by strong optical scattering in tissues. Structural guidance provided by an anatomical imaging modality enhances the DOT imaging substantially. Here, we propose a computed tomography (CT) guided multispectral DOT imaging system for breast cancer imaging. To validate its feasibility, we have built a prototype DOT imaging system which consists of a laser at the wavelength of 650 nm and an electron multiplying charge coupled device (EMCCD) camera. We have validated the CT guided DOT reconstruction algorithms with numerical simulations and phantom experiments, in which different imaging setup parameters, such as projection number of measurements and width of measurement patch, have been investigated. Our results indicate that an air-cooling EMCCD camera is good enough for the transmission mode DOT imaging. We have also found that measurements at six angular projections are sufficient for DOT to reconstruct the optical targets with 2 and 4 times absorption contrast when the CT guidance is applied. Finally, we have described our future research plan on integration of a multispectral DOT imaging system into a breast CT scanner.

Entities:  

Keywords:  Diffuse optical tomography; breast cancer imaging; multi-modality imaging

Mesh:

Year:  2017        PMID: 27983569     DOI: 10.3233/XST-16183

Source DB:  PubMed          Journal:  J Xray Sci Technol        ISSN: 0895-3996            Impact factor:   1.535


  4 in total

1.  Machine learning model with physical constraints for diffuse optical tomography.

Authors:  Yun Zou; Yifeng Zeng; Shuying Li; Quing Zhu
Journal:  Biomed Opt Express       Date:  2021-08-23       Impact factor: 3.562

2.  Weighting function effects in a direct regularization method for image-guided near-infrared spectral tomography of breast cancer.

Authors:  Jinchao Feng; Shudong Jiang; Brian W Pogue; Keith Paulsen
Journal:  Biomed Opt Express       Date:  2018-06-25       Impact factor: 3.732

3.  Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography.

Authors:  Jinchao Feng; Qiuwan Sun; Zhe Li; Zhonghua Sun; Kebin Jia
Journal:  J Biomed Opt       Date:  2018-12       Impact factor: 3.170

Review 4.  Noninvasive hemoglobin sensing and imaging: optical tools for disease diagnosis.

Authors:  Michaela Taylor-Williams; Graham Spicer; Gemma Bale; Sarah E Bohndiek
Journal:  J Biomed Opt       Date:  2022-08       Impact factor: 3.758

  4 in total

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