Overview of diffuse optical tomography and its clinical applications

Hoshi, Yoko; Yamada, Yukio

doi:10.1117/1.jbo.21.9.091312

Cited by 192 publications

(147 citation statements)

References 148 publications

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“…Diffuse optical imaging uses near-infrared light to probe tissue absorption and scattering properties up to several centimeters, making it very useful in cancers near the skin, including breast, head and neck, and melanoma. 79 One of its greatest advantages is the ability to noninvasively monitor tissue on a daily basis, without the need of an exogenous contrast agent. 80 Cerussi et al revealed that optical imaging has potential to clinically and longitudinally measure imaging biomarkers such as oxy- and deoxy-haemoglobin water and lipid, in response to targeted NAT, in addition to traditional chemotherapy.…”

Section: Emerging Strategiesmentioning

confidence: 99%

Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting

Sorace¹,

Harvey²,

Syed³

et al. 2017

Seminars in Oncology Nursing

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Objective To discuss standard-of-care and emerging imaging techniques employed for screening and detection, diagnosis and staging, monitoring response to therapy, and guiding cancer treatments. Data Sources Published journal articles indexed in the National Library of Medicine database and relevant websites. Conclusion Imaging plays a fundamental role in the care of cancer patients and specifically, breast cancer patients in the neoadjuvant setting, providing an excellent opportunity for interprofessional collaboration between oncologists, researchers, radiologists and oncology nurses. Quantitative imaging strategies to assess cellular, molecular, and vascular characteristics within the tumor is needed to better evaluate initial diagnosis and treatment response. Implications for nursing practice Nurses caring for patients in all settings must continue to seek education on emerging imaging techniques. Oncology nurses provide education about the test, ensure the patient has appropriate pre testing instructions, and manage patient expectations about timing of results availability.

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Section: Emerging Strategiesmentioning

confidence: 99%

Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting

Sorace¹,

Harvey²,

Syed³

et al. 2017

Seminars in Oncology Nursing

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“…In practice, this procedure turns out to be exceedingly expensive for the application at hand. It is thus convenient to adopt a linearized perturbation approach, and we choose here, as it is customary in this field, the Rytov approximation …”

Section: Mathematical Models For the Dot Problemmentioning

confidence: 99%

Mathematical and numerical challenges in optical screening of female breast

Causin

Lupieri

Naldi

et al. 2019

Numer Methods Biomed Eng

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Diffuse optical tomography (DOT) is an emerging imaging technique which uses light for diagnostic purposes in a non‐invasive and non‐ionizing way. In this paper, we focus on DOT application to female breast screening, where the surface of the breast is illuminated by light sources and the outgoing light is collected on the surface. The comparison of measured light data with the equivalent field obtained from a relevant mathematical model yields the DOT inverse problem whose solution provides an estimate of the optical coefficients of the tissue. These latter, in turn, can be related to clinical markers for cancer detection. The goal of this work is to propose a mathematical and computational approach tailored to the concept of a DOT imaging device able to perform fast and accurate screenings at an affordable cost. Namely, we address two original points about the crucial issue of the solution of the severely ill‐conditioned DOT inverse problem: (a) a computational approach based on Green's functions which do not require the exact knowledge of the tissue geometry, proposed here in the declination of the Method of Fundamental Solutions, which allows to enforce correct boundary conditions; (b) the elastic net regularization technique that shares the desirable properties of both the ℓ2‐ and ℓ1‐norm penalization approaches and opens the possibility for sparsity recognition in the optical coefficients field and refinement procedures.

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“…t m , mean transit time; 1, 2, 3 denote detection times of photons traveling through the optical paths 1, 2, and 3 (inserted figure), respectively. Reproduced with permission from [113]. Copyright 2016 SPIE.…”

Section: Figurementioning

confidence: 99%

Roadmap on neurophotonics

Cho

Zheng

Augustine

et al. 2016

J. Opt.

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Mechanistic understanding of how the brain gives rise to complex behavioral and cognitive functions is one of science’s grand challenges. The technical challenges that we face as we attempt to gain a systems-level understanding of the brain are manifold. The brain’s structural complexity requires us to push the limit of imaging resolution and depth, while being able to cover large areas, resulting in enormous data acquisition and processing needs. Furthermore, it is necessary to detect functional activities and ‘map’ them onto the structural features. The functional activity occurs at multiple levels, using electrical and chemical signals. Certain electrical signals are only decipherable with sub-millisecond timescale resolution, while other modes of signals occur in minutes to hours. For these reasons, there is a wide consensus that new tools are necessary to undertake this daunting task. Optical techniques, due to their versatile and scalable nature, have great potentials to answer these challenges. Optical microscopy can now image beyond the diffraction limit, record multiple types of brain activity, and trace structural features across large areas of tissue. Genetically encoded molecular tools opened doors to controlling and detecting neural activity using light in specific cell types within the intact brain. Novel sample preparation methods that reduce light scattering have been developed, allowing whole brain imaging in rodent models. Adaptive optical methods have the potential to resolve images from deep brain regions. In this roadmap article, we showcase a few major advances in this area, survey the current challenges, and identify potential future needs that may be used as a guideline for the next steps to be taken.

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Overview of diffuse optical tomography and its clinical applications

Cited by 192 publications

References 148 publications

Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting

Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting

Mathematical and numerical challenges in optical screening of female breast

Roadmap on neurophotonics

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