Quantitative analysis of biological tissues using Fourier transform-second-harmonic generation imaging

Rao, Raghu Ambekar Ramachandra; Mehta, Monal R.; Toussaint, Kimani C.

doi:10.1117/12.841208

Cited by 3 publications

(1 citation statement)

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“…The most studied methods are as follows: tumor-associated collagen signatures (TACS), which measures the inclination of the collagen fibers from the boundary of the tumor; anisotropy study through fast Fourier transform (FFT) analysis; and the gray-level co-occurrence matrix (GLCM). 1 , 5 – 7 , 13 – 17 …”

Section: Introductionmentioning

confidence: 99%

Epithelial Ovarian Cancer Diagnosis of Second-Harmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol

et al. 2017

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A vast number of human pathologic conditions are directly or indirectly related to tissular collagen structure remodeling. The nonlinear optical microscopy second-harmonic generation has become a powerful tool for imaging biological tissues with anisotropic hyperpolarized structures, such as collagen. During the past years, several quantification methods to analyze and evaluate these images have been developed. However, automated or semiautomated solutions are necessary to ensure objectivity and reproducibility of such analysis. This work describes automation and improvement methods for calculating the anisotropy (using fast Fourier transform analysis and the gray-level co-occurrence matrix). These were applied to analyze biopsy samples of human ovarian epithelial cancer at different stages of malignancy (mucinous, serous, mixed, and endometrial subtypes). The semiautomation procedure enabled us to design a diagnostic protocol that recognizes between healthy and pathologic tissues, as well as between different tumor types.

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Section: Introductionmentioning

confidence: 99%

Epithelial Ovarian Cancer Diagnosis of Second-Harmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol

et al. 2017

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Clinical applicability of the WaveFront Phase Imaging Sensor in the Keratoconus Disease

Belda-Para,

Velarde-Rodríguez,

Velasco-Ocaña

et al. 2023

Preprint

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SignificanceThe analysis of the wavefront phase of keratoconus eyes has become increasingly important due to its impact on the assessment of visual quality loss, irrecoverable with conventional optical treatments, and the understanding of morphological changes in corneal structures.AimThe aim of this work is to quantitatively assess the wavefront phase of keratoconic eyes measured by the novel high-resolution ocular aberrometer t·eyede (based on WaveFront Phase Imaging Sensor).ApproachThe measurements with this device were taken on healthy and keratoconic eyes at the Hospital Universitario Fundación Jiménez Díaz (Madrid, Spain). The wavefront phase recovered is post-processed and displayed in different phase maps, using exclusively the high-pass filter map for this study. From this map, the Root Mean Square, the Peak-to-Valley, and the amplitude value of the predominant obtained from its Fourier Transform are the parameters to distinguish between healthy and keratoconic eyes. Furthermore, the banding pattern observed in most keratoconic eyes is quantitatively analyzed by means of its period and orientation calculated from the Fourier Transform.ResultsThe Control group was composed of 43 healthy eyes, and the Pathological group presented 43 keratoconic eyes. Regarding the first three parameters used to compare both groups, there were significant statistical differences between them in all parameters, where the values obtained with the keratoconic group were higher than those of the healthy group. Although the values cannot be statistically comparable between stages, they tended to increase according to the severity of the disease. On the other hand, analyzing the banding pattern, the mean value of the period was approximately 50 µm, and most orientations were obliquus, tending to be horizontal rather than vertical.ConclusionsThe present study demonstrates that the objective analysis of the high frequencies detected by this wavefront sensor is a potential tool to reliably advise in the keratoconus diagnosis. Furthermore, combining this achievement with the quantitative assessment of the banding pattern would be used to objectively monitor the internal corneal status throughout the disease and its treatment optimization and surgery time.

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Graphics processing unit-based quantitative second-harmonic generation imaging

et al. 2014

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We adapt a graphics processing unit (GPU) to dynamic quantitative second-harmonic generation imaging. We demonstrate the temporal advantage of the GPU-based approach by computing the number of frames analyzed per second from SHG image videos showing varying fiber orientations. In comparison to our previously reported CPU-based approach, our GPU-based image analysis results in ∼10× improvement in computational time. This work can be adapted to other quantitative, nonlinear imaging techniques and provides a significant step toward obtaining quantitative information from fast in vivo biological processes.

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Quantitative analysis of biological tissues using Fourier transform-second-harmonic generation imaging

Cited by 3 publications

References 0 publications

Epithelial Ovarian Cancer Diagnosis of Second-Harmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol

Epithelial Ovarian Cancer Diagnosis of Second-Harmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol

Clinical applicability of the WaveFront Phase Imaging Sensor in the Keratoconus Disease

Graphics processing unit-based quantitative second-harmonic generation imaging

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