Time‐domain and spectral‐domain optical coherence tomography in the analysis of brain tumor tissue

Böhringer, H. J.; Boller, Dennis; Leppert, Jan; Knopp, U.; Lankenau, Eva; Reusche, E.; Hüttmann, Gereon; Giese, Alf

doi:10.1002/lsm.20353

Cited by 100 publications

(86 citation statements)

References 23 publications

(25 reference statements)

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“…Such a qualitative link may verify that certain structures can be detected in both images, but remains indirect because it does not guarantee that each observed object or even the major part of it, indeed corresponds to, e. g., a brain cell. If the quantitative link between these novel images and fluorescence/H&E stained images can be established, it will facilitate and verify the interpretation of these novel images, and further strengthen their potential for real-time pathology of human brain tumors [6,21,24,25].…”

Section: Introductionmentioning

confidence: 93%

“…The active contour models [33][34][35][36][37][38][39][40][41][42][43] became popular for automatic cell/nuclei segmentation at the beginning of this century when the classical CV model [33] was proposed. THG images, with Raman and other nonlinear microscopy images, differ from labeled-fluorescence images in their complexity, inherent to their high information density [5,6,20,21,24,25,[44][45][46][47]62]. A limited number of segmentation methods has been explored on THG images of several tissue types.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative comparison of 3D third harmonic generation and fluorescence microscopy images

Zhang

Kuzmin

Groot

et al. 2017

Journal of Biophotonics

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Third harmonic generation (THG) microscopy is a label-free imaging technique that shows great potential for rapid pathology of brain tissue during brain tumor surgery. However, the interpretation of THG brain images should be quantitatively linked to images of more standard imaging techniques, which so far has been done qualitatively only. We establish here such a quantitative link between THG images of mouse brain tissue and all-nuclei-highlighted fluorescence images, acquired simultaneously from the same tissue area. For quantitative comparison of a substantial pair of images, we present here a segmentation workflow that is applicable for both THG and fluorescence images, with a precision of 91.3 % and 95.8 % achieved respectively. We find that the correspondence between the main features of the two imaging modalities amounts to 88.9 %, providing quantitative evidence of the interpretation of dark holes as brain cells. Moreover, 80 % bright objects in THG images overlap with nuclei highlighted in the fluorescence images, and they are 2 times smaller than the dark holes, showing that cells of different morphologies can be recognized in THG images. We expect that the described quantitative comparison is applicable to other types of brain tissue and with more specific staining experiments for cell type identification.

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Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Quantitative comparison of 3D third harmonic generation and fluorescence microscopy images

Zhang

Kuzmin

Groot

et al. 2017

Journal of Biophotonics

View full text Add to dashboard Cite

show abstract

“…Bizheva et al reported the first studies on ex vivo human tissues (65). Böhringer et al reported imaging of human brain tumor specimens using TD-OCT and SD-OCT system to identify tumor and normal tissue using optical characteristics (66)(67)(68). Due to the intrinsic optical property of brain tissue, near-infrared OCT has a deeper viewing field/range than visible light used in the OCT system (42,67-69).…”

Section: Identification Of Tumorous and Non-tumorous Tissue With Oct mentioning

confidence: 99%

Optical coherence tomography for precision brain imaging, neurosurgical guidance and minimally invasive theranostics

Fan

Xia

Zhang

et al. 2018

BST

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“…confocal microscopy [15], multiphoton tomography (MPT) [16] and optical coherence tomography (OcT) [17,18] are of interest not only in respect of intraoperative identification of neoplasm boundaries, but also as methods for optical cytobiopsy.…”

Section: No4 65 сLinical Medicinementioning

confidence: 99%

Multiphoton Tomography and Cross-Polarization Optical Coherence Tomography for Diagnosing Brain Gliomas: Pilot Study

Dudenkova¹,

Yashin²,

Kiseleva³

et al. 2016

Sovrem Tehnol Med

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Progress in the surgery of infiltratively growing gliomas is closely related to intraoperative diagnostics. currently the most promising methods of optical imaging in the field of intraoperative identification of glioma boundaries and of grade of tumor are those providing high spatial resolution, such as optical coherence tomography (OcT) and multiphoton tomography (MPT). Nevertheless, for routine clinical use, evidence-based criteria are required. In this work the results of parallel ex vivo analysis of specimens of different grades of gliomas and of peritumoral areas obtained through the use of MPT and cross-polarization OcT (cP OcT) are compared with simultaneous histological descriptions and are presented in order to reveal the usefulness of each method in neurooncology.Key words: multiphoton tomography (MPT); cross-polarization optical coherence tomography (cP OcT); brain tumor rat model; glioma; glioblastoma; intraoperative diagnostics.For contacts: Konstantin S. Yashin, e-mail: jashinmed@gmail.com Gliomas constitute a considerable part (34%) of all intracranial tumors in people aged over 18 [1, 2]. Their distinctive feature is infiltrative growth into the surrounding white matter of the brain making it difficult to differentiate the boundary between the tumor and the brain tissue. According to the growth rate and the degree of invasion, astrocytic tumors are conditionally divided into slow-growing and fast-growing ones. The first group consists of pilocytic astrocytomas (Grade I) and diffuse astrocytomas (Grade II), while the latter types are anaplastic astrocytomas (Grade III) and glioblastomas (Grade IV) [3]. The higher the degree of malignancy, the more aggressive are both the tumor growth and the nature of invasion.

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Time‐domain and spectral‐domain optical coherence tomography in the analysis of brain tumor tissue

Cited by 100 publications

References 23 publications

Quantitative comparison of 3D third harmonic generation and fluorescence microscopy images

Quantitative comparison of 3D third harmonic generation and fluorescence microscopy images

Optical coherence tomography for precision brain imaging, neurosurgical guidance and minimally invasive theranostics

Multiphoton Tomography and Cross-Polarization Optical Coherence Tomography for Diagnosing Brain Gliomas: Pilot Study

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