Wavelet-based characterization of the spatial relationship of nerve and collagen in neuropathic adipose tissue

Harling, Mitchell; Juybari, Jeremy; Johnson, Cory P.; Townsend, Kristy L.; Khalil, André; Tilbury, Karissa

doi:10.1117/12.2546918

Cited by 1 publication

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“…The 2D WTMM anisotropy method involves convolving the image with Gaussian derivative wavelets over a continuous range of smoothing scales enabling a multiscale approach to understand organizational changes in an image. The method was first developed in the context of Galactic astronomy ( 27 ) and later used in a multitude of applications such as muscle morphogenesis ( 28 – 32 ), artificial bone implants ( 33 ), exploring the relationship between nerve and college in neuropathic adipose tissue ( 34 ), and the aforementioned exploration into comparing mouse melanoma and integrin knockout impact on collagen restructuring ( 26 ). To optimize this method for subtle changes between cancer and fibrotic collagen, updates to the 2D WTMM anisotropy method are being explored and presented in this paper.…”

Section: Introductionmentioning

confidence: 99%

Multiscale anisotropy analysis of second-harmonic generation collagen imaging of human pancreatic cancer

Hamilton

Breggia²,

Fitzgerald³

et al. 2022

Front. Oncol.

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Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers with a minority (< 10%) of patients surviving five years past diagnosis. This could be improved with the development of new imaging modalities for early differentiation of benign and cancerous fibrosis. This study intends to explore the application of a two-photon microscopy technique known as second harmonic generation to PDAC using the 2D Wavelet Transform Modulus Maxima (WTMM) Anisotropy method to quantify collagen organization in fibrotic pancreatic tissue. Forty slides from PDAC patients were obtained and eight images were captured per each tissue category on each slide. Brownian surface motion and white noise images were generated for calibration and testing of a new variable binning approach to the 2D WTMM Anisotropy method. The variable binning method had greater resistance to wavelet scaling effects and white noise images were found to have the lowest anisotropy factor. Cancer and fibrosis had greater anisotropy factors (Fa) at small wavelet scales than normal and normal adjacent tissue. At a larger scale of 21 μm this relationship changed with normal tissue having a higher Fa than all other tissue groups. White noise is the best representative image for isotropy and the 2D WTMM anisotropy method is sensitive to changes induced in collagen by PDAC.

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