ArticleScientific reports2017
Small-window parametric imaging based on information entropy for ultrasound tissue characterization.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematized Review of Quantitative Ultrasound Based on First-Order Speckle Statistics.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024Pooled it
- The Role of Quantitative Ultrasound in Monitoring Neoadjuvant Chemotherapy in Breast Cancer: A Narrative Review.Cancers · 2025Review
- High-frequency quantitative ultrasound in characterizing human skin aging: an exploration of the non-modeling and modeling approaches.Quantitative imaging in medicine and surgery · 2025Article
- Pixel-based small-window parametric ultrasound imaging for liver tumor characterization.Biomedical engineering letters · 2024Article
- Article
- Ultrasound Characterization of Cortical Bone Using Shannon Entropy.Ultrasound in medicine & biology · 2023Article
- Texture quantified from ultrasound Nakagami parametric images is diagnostically relevant for breast tumor characterization.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study.BMC medical imaging · 2023Article
- Information Entropy and Its Applications.Advances in experimental medicine and biology · 2023Article
- A novel design framework of synthetic radial aperture focusing for volumetric transrectal ultrasound imaging.Journal of computational design and engineering · 2022Article
- [Design and implementation for portable ultrasound-aided breast cancer screening system].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
- Quantitative imaging of ultrasound backscattered signals with information entropy for bone microstructure characterization.Scientific reports · 2022Article
- A cerebellar internal model calibrates a feedback controller involved in sensorimotor control.Nature communications · 2021Article
- Differential diagnosis between small breast phyllodes tumors and fibroadenomas using artificial intelligence and ultrasound data.Quantitative imaging in medicine and surgery · 2021Article
- Multiparametric ultrasound examination for response assessment in breast cancer patients undergoing neoadjuvant therapy.Scientific reports · 2021Article
- A novel quantitative and reference-free ultrasound analysis to discriminate different concentrations of bone mineral content.Scientific reports · 2021Article
- Ultrasound Sample Entropy Imaging: A New Approach for Evaluating Hepatic Steatosis and Fibrosis.IEEE journal of translational engineering in health and medicine · 2021Article
- Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A.BMC cancer · 2020Article
- Clinical Value of Information Entropy Compared with Deep Learning for Ultrasound Grading of Hepatic Steatosis.Entropy (Basel, Switzerland) · 2020Article
- Ultrasound Assessment of Hepatic Steatosis by Using the Double Nakagami Distribution: A Feasibility Study.Diagnostics (Basel, Switzerland) · 2020Article
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7 authors.
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Abstract
Constructing ultrasound statistical parametric images by using a sliding window is a widely adopted strategy for characterizing tissues. Deficiency in spatial resolution, the appearance of boundary artifacts, and the prerequisite data distribution limit the practicability of statistical parametric imaging. In this study, small-window entropy parametric imaging was proposed to overcome the above problems. Simulations and measurements of phantoms were executed to acquire backscattered radiofrequency (RF) signals, which were processed to explore the feasibility of small-window entropy imaging in detecting scatterer properties. To validate the ability of entropy imaging in tissue characterization, measurements of benign and malignant breast tumors were conducted (n = 63) to compare performances of conventional statistical parametric (based on Nakagami distribution) and entropy imaging by the receiver operating characteristic (ROC) curve analysis. The simulation and phantom results revealed that entropy images constructed using a small sliding window (side length = 1 pulse length) adequately describe changes in scatterer properties. The area under the ROC for using small-window entropy imaging to classify tumors was 0.89, which was higher than 0.79 obtained using statistical parametric imaging. In particular, boundary artifacts were largely suppressed in the proposed imaging technique. Entropy enables using a small window for implementing ultrasound parametric imaging.
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