Statistical signal processing for quantitative assessment of pulsed terahertz imaging of human breast tumors

Bowman, Tyler; Chavez, Tanny; Khan, Kamrul Hasan; Chakraborty, Avishek; Wu, Jingxian; Bailey, Keith; El-Shenawee, Magda

doi:10.1109/irmmw-thz.2017.8067265

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…It was observed in human tumors that the model was not able to fully classify cancer and fibroglandular tissue for the same reason where cancer and fibrous tissue have close properties. 42 Future work will focus on detection methods and advanced models to address this challenge. The obtained results demonstrate promise for THz imaging of freshly excised tumors and shed the light on the main challenges that need to be resolved before it can be implemented on human tissue.…”

Section: Discussionmentioning

confidence: 99%

Pulsed terahertz imaging of breast cancer in freshly excised murine tumors

et al. 2018

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This paper investigates terahertz (THz) imaging and classification of freshly excised murine xenograft breast cancer tumors. These tumors are grown via injection of E0771 breast adenocarcinoma cells into the flank of mice maintained on high-fat diet. Within 1 h of excision, the tumor and adjacent tissues are imaged using a pulsed THz system in the reflection mode. The THz images are classified using a statistical Bayesian mixture model with unsupervised and supervised approaches. Correlation with digitized pathology images is conducted using classification images assigned by a modal class decision rule. The corresponding receiver operating characteristic curves are obtained based on the classification results. A total of 13 tumor samples obtained from 9 tumors are investigated. The results show good correlation of THz images with pathology results in all samples of cancer and fat tissues. For tumor samples of cancer, fat, and muscle tissues, THz images show reasonable correlation with pathology where the primary challenge lies in the overlapping dielectric properties of cancer and muscle tissues. The use of a supervised regression approach shows improvement in the classification images although not consistently in all tissue regions. Advancing THz imaging of breast tumors from mice and the development of accurate statistical models will ultimately progress the technique for the assessment of human breast tumor margins.

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Section: Discussionmentioning

confidence: 99%

Pulsed terahertz imaging of breast cancer in freshly excised murine tumors

et al. 2018

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“…, 10B are republished from T. Bowman et al 28 with permission from IEEE and Figure 10C, Figure 10D are republished from N. Vohra et al 19 with permission from IOP Publishing, Ltd.…”

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Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Vohra

Bowman

Bailey

et al. 2020

JoVE

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This manuscript presents a protocol to handle, characterize, and image freshly excised human breast tumors using pulsed terahertz imaging and spectroscopy techniques. The protocol involves terahertz transmission mode at normal incidence and terahertz reflection mode at an oblique angle of 30°. The collected experimental data represent time domain pulses of the electric field. The terahertz electric field signal transmitted through a fixed point on the excised tissue is processed, through an analytical model, to extract the refractive index and absorption coefficient of the tissue. Utilizing a stepper motor scanner, the terahertz emitted pulse is reflected from each pixel on the tumor providing a planar image of different tissue regions. The image can be presented in time or frequency domain. Furthermore, the extracted data of the refractive index and absorption coefficient at each pixel are utilized to provide a tomographic terahertz image of the tumor. The protocol demonstrates clear differentiation between cancerous and healthy tissues. On the other hand, not adhering to the protocol can result in noisy or inaccurate images due to the presence of air bubbles and fluid remains on the tumor surface. The protocol provides a method for surgical margins assessment of breast tumors.

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“…Since the advancements in electronics and photonics that led to the access of the THz gap, there have been numerous applications for THz imaging. These range from moisture content and concealed object imaging in biological materials [16,17],…”

Section: Applications Of Thz Radiation For Ndementioning

confidence: 99%

Terahertz reflection time-domain spectroscopy for imaging and identifying concealed interfaces in multilayered systems

Lowry¹

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This thesis reviews multiple forms of terahertz spectroscopy and imaging, and exploits a combination of aspects from the techniques involved to undertake a novel method. With the use of this method, subsurface interfaces within a practical, insulated system are spatially imaged and identified. Initially, transmission spectroscopy is used to select the insulating material of the system based on favourable dielectric properties, followed by the use of dove prism reflection spectroscopy to understand and qualitatively contrast the responses of the interfaces to reflecting terahertz pulses. After constructing a reflection imaging system, multiple interface materials concealed by insulation are successfully located and identified by coloured overlays in a 100 by 100 image. Further exploration of applications involving the proposed method is also discussed.

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Statistical signal processing for quantitative assessment of pulsed terahertz imaging of human breast tumors

Cited by 7 publications

References 5 publications

Pulsed terahertz imaging of breast cancer in freshly excised murine tumors

Pulsed terahertz imaging of breast cancer in freshly excised murine tumors

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Terahertz reflection time-domain spectroscopy for imaging and identifying concealed interfaces in multilayered systems

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