The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Texture Analysis: A Review of Neurologic MR Imaging Applications
Open accessAbstract
Texture analysis describes a variety of image-analysis techniques that quantify the variation in surface intensity or patterns, including some that are imperceptible to the human visual system. Texture analysis may be particularly well-suited for lesion segmentation and characterization and for the longitudinal monitoring of disease or recovery. We begin this review by outlining the general procedure for performing texture analysis, identifying some potential pitfalls and strategies for avoiding them. We then provide an overview of some intriguing neuro-MR imaging applications of texture analysis, particularly in the characterization of brain tumors, prediction of seizures in epilepsy, and a host of applications to MS.
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Cites
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Thrombolysis with Alteplase 3 to 4.5 Hours after Acute Ischemic Stroke
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Cited by
A survey of MRI-based medical image analysis for brain tumor studies
Bauer, S., Wiest, R., Nolte, L.-P., & Reyes, M. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/13/r97 · Cited by 1,036
Radiomics: a new application from established techniques
Parekh, V., & Jacobs, M. A. (2016) · Expert Review of Precision Medicine and Drug Development · doi:10.1080/23808993.2016.1164013 · Cited by 369
Neural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensor
Mohamed Shakeel, P., Tobely, T. E. E., Al-Feel, H., Manogaran, G., & Baskar, S. (2019) · IEEE Access · doi:10.1109/access.2018.2883957 · Cited by 232
Radulescu, E., Minati, L., Ganeshan, B., Harrison, N. A., Gray, M. A., Beacher, F. D. C. C., Chatwin, C., Young, R. C. D., & Critchley, H. D. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.05.010 · Cited by 36
Jeong, S., Lee, E.-J., Kim, Y.-H., Woo, J. C., Ryu, O.-W., Kwon, M., Kwon, S. U., Kim, J. S., & Kang, D.-W. (2022) · Journal of Stroke · doi:10.5853/jos.2021.02061 · Cited by 9
Metadata
- Authors
- Kassner, A., & Thornhill, R. E.
- Venue
- American Journal of Neuroradiology
- Published
- 2010-04-15
- Volume
- 31
- Issue
- 5
- Pages
- 809-816
- ISSN
- 0195-6108 (ISSN-L)
- 1936-959X
- OpenAlex
- W2119440128
- Cited by
- 408
- References
- 64
- FWCI
- 10.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
