Comparison of Reconstruction Strategies of Compressive Sensing Applied to Ultrasound Images

Ultrasound medical images are important for medical diagnose. The method allows the real-time visualization of organs of the body and it is not invasive. In this study, a comparison of reconstruction greedy search methods, used in compressive sensing, is performed. The methods and the algorithms...

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書誌詳細
第一著者: TOLEDO, ERICK
その他の著者: Ochoa Dominguez, Humberto De Jesus, RODRÍGUEZ, LEANDRO JOSÉ, Torres, Vianey
フォーマット: Capítulo de libro
言語:English
出版事項: SPRINGER 2018
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オンライン・アクセス:https://books.google.com.mx/books?id=LyFzDwAAQBAJ&dq=info:JeA6b3CJafMJ:scholar.google.com&lr=&source=gbs_navlinks_s
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その他の書誌記述
要約:Ultrasound medical images are important for medical diagnose. The method allows the real-time visualization of organs of the body and it is not invasive. In this study, a comparison of reconstruction greedy search methods, used in compressive sensing, is performed. The methods and the algorithms are explained and experiments are carried out in synthetic and measured data. Result show that the orthogonal matching pursuit outperforms the other methods in the greedy search classification.