ArticlePloS one2019
Haralick texture feature analysis for quantifying radiation response heterogeneity in murine models observed using Raman spectroscopic mapping.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Quantification of Kidney Inflammation Using Nanobubble-mediated Contrast Enhanced Ultrasound.Nanotheranostics · 2026Article
- Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms.Biophotonics discovery · 2025Article
- Ultrasonographic examination of the maturational effect of maternal vitamin D use on fetal clavicle bone development.BMC medical imaging · 2025Article
- Surface Properties of a Biocompatible Thermoplastic Polyurethane and Its Anti-Adhesive Effect againstJournal of functional biomaterials · 2024Article
- Hyaluronan nanoscale clustering and Hyaluronan synthase 2 expression are linked to the invasion of child fibroblasts and infantile fibrosarcoma in vitro and in vivo.Scientific reports · 2022Article
- Astrocyte regional heterogeneity revealed through machine learning-based glial neuroanatomical assays.The Journal of comparative neurology · 2021Article
- Assessment of Intratumor Heterogeneity in Parametric Dynamic Contrast-Enhanced MR Images: A Comparative Study of Novel and Established Methods.Frontiers in oncology · 2021Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Tumour heterogeneity plays a large role in the response of tumour tissues to radiation therapy. Inherent biological, physical, and even dose deposition heterogeneity all play a role in the resultant observed response. We here implement the use of Haralick textural analysis to quantify the observed glycogen production response, as observed via Raman spectroscopic mapping, of tumours irradiated within a murine model. While an array of over 20 Haralick features have been proposed, we here concentrate on five of the most prominent features: homogeneity, local homogeneity, contrast, entropy, and correlation. We show that these Haralick features can be used to quantify the inherent heterogeneity of the Raman spectroscopic maps of tumour response to radiation. Furthermore, our results indicate that Haralick-calculated textural features show a statistically significant dose dependent variation in response heterogeneity, specifically, in glycogen production in tumours irradiated with clinically relevant doses of ionizing radiation. These results indicate that Haralick textural analysis provides a quantitative methodology for understanding the response of murine tumours to radiation therapy. Future work in this area can, for example, utilize the Haralick textural features for understanding the heterogeneity of radiation response as measured by biopsied patient tumour samples, which remains the standard of patient tumour investigation.
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