David A. Hormuth, II

Research Scientist | Biomedical Engineering + Imaging Science > > Computational Oncology

Quantitative analysis of vascular properties derived from ultrafast DCE‐MRI to discriminate malignant and benign breast tumors


Journal article


Chengyue Wu, F. Pineda, D. Hormuth, G. Karczmar, T. Yankeelov
Magnetic Resonance in Medicine, 2018

Semantic Scholar DOI PubMed
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APA   Click to copy
Wu, C., Pineda, F., Hormuth, D., Karczmar, G., & Yankeelov, T. (2018). Quantitative analysis of vascular properties derived from ultrafast DCE‐MRI to discriminate malignant and benign breast tumors. Magnetic Resonance in Medicine.


Chicago/Turabian   Click to copy
Wu, Chengyue, F. Pineda, D. Hormuth, G. Karczmar, and T. Yankeelov. “Quantitative Analysis of Vascular Properties Derived from Ultrafast DCE‐MRI to Discriminate Malignant and Benign Breast Tumors.” Magnetic Resonance in Medicine (2018).


MLA   Click to copy
Wu, Chengyue, et al. “Quantitative Analysis of Vascular Properties Derived from Ultrafast DCE‐MRI to Discriminate Malignant and Benign Breast Tumors.” Magnetic Resonance in Medicine, 2018.


BibTeX   Click to copy

@article{chengyue2018a,
  title = {Quantitative analysis of vascular properties derived from ultrafast DCE‐MRI to discriminate malignant and benign breast tumors},
  year = {2018},
  journal = {Magnetic Resonance in Medicine},
  author = {Wu, Chengyue and Pineda, F. and Hormuth, D. and Karczmar, G. and Yankeelov, T.}
}

Abstract

We propose a novel methodology to integrate morphological and functional information of tumor‐associated vessels to assist in the diagnosis of suspicious breast lesions.


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