Philippe Lasaygues

Work place: Aix Marseille Univ, CNRS, Marseille Central Station, LMA, Marseille, France



Research Interests: Computational Physics, Physics


Philippe. Lasayguess, A PhD in Mechanics, Acoustics at Aix Marseille University. He has his Ph-D degrees in Acoustics from Aix-Marseille and has the habilitation to direct research (HDR) at Aix Marseille University. He is IEEE member. He is the author of 5 keynotes lectures, 4 book chapters, 35 original publications, 90 proceedings, and 52 Seminar.

Author Articles
Improved USCT of Paired Bones Using Wavelet-based Image Processing

By Marwa Fradi Wajih Elhadj Youssef Philippe Lasaygues Mohsen Machhout

DOI:, Pub. Date: 8 Sep. 2018

Computed ultrasonic bone tomography (USCT) is a non-invasive and non-ionizing technique, which ensures the protection of child being against x-rays. The main objective of this article is to use an image processing algorithm to improve the signal-to-noise ratio of ultrasonic computed tomography (USCT) of children bones  for automatic detection of osteopathologies. For this fact, we construct an application of image processing with Microsoft Foundation Class Library (FMC) integrated in visual Studio using Haar wavelet algorithm to detect edges. Different methods of image processing for automatic detection are used. Hence, we make accessible the detection of distance between bones due to the application of wavelet transform. As a result, the quality of USCT image was improved and the detection of child osteopathologies became accessible.

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