Combination digital breast tomosynthesis and diffuse optical tomography

Heo, Duchang; Kim, Kee-Hyun; Bae, Young-Min; Choi, Young-Wook; Sabir, Sohail; Cho, Seungryong; Kim, Hak Hee

doi:10.1364/fio.2018.jw3a.113

Cited by 3 publications

(5 citation statements)

References 3 publications

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“…This method can solve the non-linear inverse problem of DOT in an end-to-end manner and process new data within a few hundred milliseconds. This approach was demonstrated and validated previously using a method proposed by Heo et al in the same group in 2018 [ 38 ]. In 2022, Kim et al [ 39 ] demonstrated and validated a method based on the microscopic Beer-Lambert Law (BLL) to calculate the absorption coefficient changes of a sample from FD-NIRS data.…”

Section: State-of-the-art Fd-nirs Technologiesmentioning

confidence: 82%

“…To date, several benchtop systems have been successfully developed [ 14 , 17 – 39 ], and some of them [ 17 , 23 – 25 , 27 , 33 , 35 ] have achieved a relatively large channel counts. Particularly, the systems in [ 19 , 20 , 22 – 28 , 31 , 37 , 38 ] have demonstrated the capability to produce 2D images. Despite these successes, these technologies are subject to the following limitations: (1) limited portability: large size, heavy weight, and fixed location; (2) relatively poor ergonomics; and (3) a limited capability to produce images.…”

Section: Discussionmentioning

confidence: 99%

“…1 ). Moreover, the imaging capability has not been validated by most of the available systems: only 13 (of 54 in total) systems in [ 20 , 24 – 28 , 31 , 37 , 38 , 40 , 46 , 51 , 58 ] demonstrated the functionality of 2D imaging, and only the systems in [ 22 , 23 ] accomplished 3D images to any degree.…”

Section: Discussionmentioning

confidence: 99%

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Review of recent advances in frequency-domain near-infrared spectroscopy technologies [Invited]

Zhou¹,

Xia

Uchitel

et al. 2023

Biomed. Opt. Express

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Over the past several decades, near-infrared spectroscopy (NIRS) has become a popular research and clinical tool for non-invasively measuring the oxygenation of biological tissues, with particular emphasis on applications to the human brain. In most cases, NIRS studies are performed using continuous-wave NIRS (CW-NIRS), which can only provide information on relative changes in chromophore concentrations, such as oxygenated and deoxygenated hemoglobin, as well as estimates of tissue oxygen saturation. Another type of NIRS known as frequency-domain NIRS (FD-NIRS) has significant advantages: it can directly measure optical pathlength and thus quantify the scattering and absorption coefficients of sampled tissues and provide direct measurements of absolute chromophore concentrations. This review describes the current status of FD-NIRS technologies, their performance, their advantages, and their limitations as compared to other NIRS methods. Significant landmarks of technological progress include the development of both benchtop and portable/wearable FD-NIRS technologies, sensitive front-end photonic components, and high-frequency phase measurements. Clinical applications of FD-NIRS technologies are discussed to provide context on current applications and needed areas of improvement. The review concludes by providing a roadmap toward the next generation of fully wearable, low-cost FD-NIRS systems.

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Section: State-of-the-art Fd-nirs Technologiesmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Review of recent advances in frequency-domain near-infrared spectroscopy technologies [Invited]

Zhou¹,

Xia

Uchitel

et al. 2023

Biomed. Opt. Express

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“…2(a) shows the schematics of our frequency domain DOT system. The DOT system has been developed at the Korea Electrotechnology Research Institute (KERI) to improve the diagnostic accuracy of the digital breast tomosynthesis (DBT) system for joint breast cancer diagnosis [18], [19]. The multi-channel DOT system ( Fig.…”

Section: B Neural Network For Inverting Lippman-schwinger Equationmentioning

confidence: 99%

“…5). The phantom is made of polypropylene [18], [19]. (a) Schematic illustration of the DOT system configuration.…”

Section: B Phantoms and In Vivo Datamentioning

confidence: 99%

Deep Learning Diffuse Optical Tomography

Yoo

Sabir

Heo

et al. 2020

IEEE Trans. Med. Imaging

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107

105

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Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection

Chae

Kim

Sabir

et al. 2020

Sci Rep

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Diffuse optical tomography (DOT) non-invasively measures the functional characteristics of breast lesions using near infrared light to probe tissue optical properties. This study aimed to evaluate a new digital breast tomosynthesis (DBT)/DOT fusion imaging technique and obtain preliminary data for breast cancer detection. Twenty-eight women were prospectively enrolled and underwent both DBT and DOT examinations. DBT/DOT fusion imaging was created after acquisition of both examinations. Two breast radiologists analyzed DBT and DOT images independently, and then finally evaluated the fusion images. The diagnostic performance of each reading session was compared and interobserver agreement was assessed. The technical success rate was 96.4%, with one failure due to an error during DOT data storage. Among the 27 women finally included in the analysis, 13 had breast cancer. The areas under the receiver operating characteristic curve (AUCs) for DBT were 0.783 and 0.854 for readers 1 and 2, respectively. DOT showed comparable diagnostic performance to DBT for both readers. The AUCs were significantly improved (P = 0.004) when the DBT/DOT fusion images were used. Interobserver agreements were highest for the DBT/DOT fusion images. In conclusion, this study suggests that DBT/DOT fusion imaging technique appears to be a promising tool for breast cancer diagnosis.

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Combination digital breast tomosynthesis and diffuse optical tomography

Cited by 3 publications

References 3 publications

Review of recent advances in frequency-domain near-infrared spectroscopy technologies [Invited]

Review of recent advances in frequency-domain near-infrared spectroscopy technologies [Invited]

Deep Learning Diffuse Optical Tomography

Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection

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