| Title: |
Time-frequency Blood Flow Parameters Estimation for Micro-emboli Detection |
| Authors: |
Guépié, Blaise Kévin; Sciolla, B.; Millioz, Fabien; Ramassamy, R.; Pinatel, E.; Almar, M.; Guibert, B.; Delachartre, Philippe |
| Contributors: |
Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS); Université Claude Bernard Lyon 1 (UCBL); Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon); Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS); Atys Medical |
| Source: |
IEEE ISPA ; https://hal.science/hal-01917475 ; IEEE ISPA, 2015, Zagreb, Croatia. pp. 66-71 |
| Publisher Information: |
CCSD |
| Publication Year: |
2015 |
| Collection: |
Université Jean Monnet – Saint-Etienne: HAL |
| Subject Terms: |
categₘixte; Doppler transcranial; Imagerie Ultrasonore; Labex CELYA; micro-emboli detection; time-frequency detection; ultrasounds; [INFO.INFO-IM]Computer Science [cs]/Medical Imaging |
| Subject Geographic: |
Zagreb; Croatia |
| Description: |
International audience ; Detecting micro-emboli in the middle cerebral artery is a major challenge because these micro-emboli are related to the risk of stroke (cerebrovascular accident). Because micro-emboli are defined as High Intensity Transient Signals (HITS), their detection require the estimation of blood flow background signal ; i.e, the reference from which HITS have to be detected. In this paper, we propose an original procedure composed of two steps. Firstly, the background noise is isolated from the blood flow time-frequency image thanks to the log-likelihood segmentation method. Secondly, HITS detection threshold is calculated from a blood flow statistic using the spectral kurtosis approach. Our procedure is used on the transcranial Doppler data from two patients and the results show that the mean percentage error of the velocity envelope estimation is reduced from 5% to 3% and 92% of micro-emboli are counted as detected HITS. |
| Document Type: |
conference object |
| Language: |
English |
| Availability: |
https://hal.science/hal-01917475; https://hal.science/hal-01917475v1/document; https://hal.science/hal-01917475v1/file/Kevin-15_ISPA_Time-frequency%20Blood%20Flow%20Parameters%20Estimation.pdf |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.E5539C8D |
| Database: |
BASE |