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| Content Provider | IET Digital Library |
|---|---|
| Author | Chang, Yuchou |
| Abstract | Accurate extraction of vessels plays an important role in assisting diagnosis, treatment, and surgical planning. The Otsu method has been used for extracting vessels in medical images. However, blood vessels in magnetic resonance angiography (MRA) image are considered as a sparse distribution. Pixels on vessels in MRA image are considered as an imbalanced data in classification of vessels and non-vessel tissues. To extract vessels accurately, a novel method using resampling technique and ensemble learning is proposed for solving the imbalanced classification problem. Each pixel is sampled multiple times through multiple local patches within the image. Then, vessel or non-vessel tissue is determined by the ensemble voting mechanism via a p-tile algorithm. Experimental results show that the proposed method is able to outperform the traditional Otsu method by extracting vessels in MRA images more accurately. |
| Starting Page | 115 |
| Ending Page | 120 |
| Page Count | 6 |
| Volume Number | 6 |
| e-ISSN | 20533713 |
| Issue Number | Issue 4, Aug (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/htl/6/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5031 |
| Journal | Healthcare Technology Letters |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-07-17 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution -Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) |
| Subject Keyword | Biology And Medical Computing Biomedical Magnetic Resonance Imaging Biomedical MRI Blood Vessels Computer Vision And Image Processing Technique Ensemble Learning Extracting Vessels Haemodynamics Image Classification Image Sampling Knowledge Engineering Technique Learning in AI Magnetic Resonance Angiography Image Medical Image Medical Image Processing Medical Magnetic Resonance Imaging And Spectroscopy MRA Image Vessel Extraction Nonvessel Tissue Optical, Image And Video Signal Processing P-tile Algorithm Patient Diagnostic Method And Instrumentation Pneumodynamics Resampling Learning Spectroscopy Surgical Planning Traditional Otsu Method |
| Content Type | Text |
| Resource Type | Article |
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