An Energy Detector Based on Negative Energy Fluctuations Coupled with Sub-band Decomposition as a Robust Micro-embolus Detection System
| العنوان: | An Energy Detector Based on Negative Energy Fluctuations Coupled with Sub-band Decomposition as a Robust Micro-embolus Detection System |
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| المؤلفون: | Jean-Marc Girault, Maroun Geryes, Sébastien Ménigot, Jamal Charara |
| المساهمون: | Sébastien, Ménigot, Université Libanaise, Imagerie et cerveau (iBrain - Inserm U1253 - UNIV Tours ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Tours (UT), Region Centre Val de Loire (Project Brainmut, convention 2014 00091557), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| المصدر: | 2017 IEEE International Ultrasonics Symposium (IUS) IEEE International Ultrasonic Symposium 2017 IEEE International Ultrasonic Symposium 2017, Sep 2017, Washington, DC, United States. ⟨10.1109/ULTSYM.2017.8091688⟩ |
| بيانات النشر: | HAL CCSD, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, 02 engineering and technology, Constant false alarm rate, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, Optics, Nuclear magnetic resonance, Energy spectrum, 0202 electrical engineering, electronic engineering, information engineering, Decomposition (computer science), sub-band decomposition, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Physics, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], [SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph], micro-emboli, Relative intensity, business.industry, Detector, negative energy fluctuations, energy detector, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, symbols, 020201 artificial intelligence & image processing, Negative energy, business, transcranial Doppler ultrasound, Doppler effect, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 030217 neurology & neurosurgery, Energy (signal processing) |
| الوصف: | International audience; Robust detection of the smallest circulating cerebral micro-emboli is an efficient way of preventing Cerebrovascular Accidents. Transcranial Doppler ultrasound is widely considered as the most convenient system for the detection of micro-emboli. Commercially realized standard detection is achieved through the whole Doppler energy spectrum where constant empirical thresholds are implemented. In this study, we propose a new type of micro-embolic detectors composed of N detectors associated to N Doppler frequency sub-bands. Moreover, we couple this sub-band decomposition with an original detection method. The N sub-band energy detectors are built from negative fluctuations of energy. From a training phase, we find that 4 sub-band decomposition allows obtaining the best results considering both the detection rate and the false alarm rate. The new sub-band detection coupled with energy detectors based from negative energy fluctuations allow increasing the detection rate up to 93% and the micro-embolus relative intensity increase from up to 23 dB. Moreover, the false alarm rate is reduced to around only 6%. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| DOI: | 10.1109/ULTSYM.2017.8091688⟩ |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::441e6855eb058527bc9d0fc915debd44 https://hal.science/hal-01630496/document |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....441e6855eb058527bc9d0fc915debd44 |
| قاعدة البيانات: | OpenAIRE |
| DOI: | 10.1109/ULTSYM.2017.8091688⟩ |
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