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Application of Compressive Sensing to Ultrasound Images: A Review
المؤلفون المشاركون
Qureshi, Ijaz Mansoor
Javed, Umer
Malik, Suheel Abdullah
Amir, Muhammad
Yousufi, Musyyab
Tayyib, Muhammad
Ullah, Hayat
Alimgeer, Khurram Saleem
Akram, Muhammad Waseem
Khan, Khan Bahadar
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-11-15
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Compressive sensing (CS) offers compression of data below the Nyquist rate, making it an attractive solution in the field of medical imaging, and has been extensively used for ultrasound (US) compression and sparse recovery.
In practice, CS offers a reduction in data sensing, transmission, and storage.
Compressive sensing relies on the sparsity of data; i.e., data should be sparse in original or in some transformed domain.
A look at the literature reveals that rich variety of algorithms have been suggested to recover data using compressive sensing from far fewer samples accurately, but with tradeoffs for efficiency.
This paper reviews a number of significant CS algorithms used to recover US images from the undersampled data along with the discussion of CS in 3D US images.
In this paper, sparse recovery algorithms applied to US are classified in five groups.
Algorithms in each group are discussed and summarized based on their unique technique, compression ratio, sparsifying transform, 3D ultrasound, and deep learning.
Research gaps and future directions are also discussed in the conclusion of this paper.
This study is aimed to be beneficial for young researchers intending to work in the area of CS and its applications, specifically to US.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yousufi, Musyyab& Amir, Muhammad& Javed, Umer& Tayyib, Muhammad& Malik, Suheel Abdullah& Ullah, Hayat…[et al.]. 2019. Application of Compressive Sensing to Ultrasound Images: A Review. BioMed Research International،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1127594
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yousufi, Musyyab…[et al.]. Application of Compressive Sensing to Ultrasound Images: A Review. BioMed Research International No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1127594
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yousufi, Musyyab& Amir, Muhammad& Javed, Umer& Tayyib, Muhammad& Malik, Suheel Abdullah& Ullah, Hayat…[et al.]. Application of Compressive Sensing to Ultrasound Images: A Review. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1127594
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1127594
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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