Welcome on the webpage I wrote when finishing my PhD (in 2016) !
It contains:
Manuscript and supplementary materials
To contact me, feel free to send an email to emmanuel.roux [@] creatis.univ-lyon1.fr
Best waves,
Emmanuel
2D sparse array design optimization and operating strategy for real-time 3D ultrasound imaging
Today, the use of 3D ultrasound imaging in cardiology is limited because imaging the entire myocardium on a single heartbeat, without apnea, remains a technological challenge. A solution consists in reducing the number of active elements in the 2D ultrasound probes to lighten the acquisition process: this approach leads to sparse arrays. The aim of this thesis is to propose the best configuration of a given number of active elements distributed on the probe active surface in order to maximize their ability to produce images with homogeneous contrast and resolution over the entire volume of interest. This work presents the integration of realistic acoustic simulations performed in a stochastic optimization process (simulated annealing algorithm). The proposed sparse array design framework is general enough to be applied on both on-grid (active elements located on a regular grid) and non-grid (arbitrary positioning of the active elements) arrays. The introduction of an innovative energy function sculpts the optimal 3D beam pattern radiated by the array. The obtained optimized results have 128, 192 or 256 active elements to help their compatibility with currently commercialized ultrasound scanners, potentially allowing a large scale development of 3D ultrasound imaging with low cost systems.
Manuscript and Supplementary material
Download: PhD manuscript (PDF)
- Optimization run videos (just below)
- README text file about the PhD report video content (also available in the left-hand side column of this page)
- Example of object oriented programing MATLAB code (also available in the left-hand side column of this page)
CHAPTER III (NON-GRIG ARRAYS) | CHAPTER 4 (ON-GRID ARRAYS) | ||
Single depth | Multi-depth | Multi-depth | |
U1 1HS | U1 3HS | opti128 | |
U2 1HS | U2 3HS | opti192 | |
U3 1HS | U3 3HS | opti256 |
I received the joint Ph.D. degree in acoustics and information engineering from the University of Lyon, Lyon, France, and the University of Florence, Florence, Italy, in 2016.
I have been an Associate Professor at the Université Lyon 1, Lyon, and the CREATIS Laboratory, Lyon, since 2019.
My current research concerns (deep) machine learning for medical imaging, with particular interests on 3-D ultrasound imaging (2-D transducer optimization and beamforming techniques), volumetric medical image segmentation (e.g., CT lungs or MRI lesion quantification), weakly-supervised anomaly detection (e.g., transcranial Doppler emboli classification), and interactive learning (model interpretability and interactive annotations)
Publications (Google Scholar Profile)
The content that is displayed on this video screen is the following:
• Top-left panel: the evolution of the active elements distribution on the layout.
• Top-center panel: the evolution of the energy function values.
• Top-right panel: the evolution of the acceptation rate values.
• Bottom line panels: the evolution of the beam pattern profiles at the depths where the optimization occurred.
The content that is displayed on this video screen is the following:
• Top-left panel: the evolution of the active elements distribution on the layout.
• Top-center panel: the evolution of the energy function values.
• Top-right panel: the evolution of the acceptation rate values.
• Bottom line panels: the evolution of the beam pattern profiles at the depths where the optimization occurred.
The content that is displayed on this video screen is the following:
• Top-left panel: the evolution of the active elements distribution on the layout.
• Top-center panel: the evolution of the energy function values.
• Top-right panel: the evolution of the acceptation rate values.
• Bottom line panels: the evolution of the beam pattern profiles at the depths where the optimization occurred.
The content that is displayed on this video screen is the following:
• Top-left panel: the evolution of the active elements distribution on the layout.
• Top-center panel: the evolution of the energy function values.
• Top-right panel: the evolution of the acceptation rate values.
• Bottom line panels: the evolution of the beam pattern profiles at the depths where the optimization occurred.
The content that is displayed on this video screen is the following:
• Top-left panel: the evolution of the active elements distribution on the layout.
• Top-center panel: the evolution of the energy function values.
• Top-right panel: the evolution of the acceptation rate values.
• Bottom line panels: the evolution of the beam pattern profiles at the depths where the optimization occurred.
The content that is displayed on this video screen is the following:
• Top-left panel: the evolution of the active elements distribution on the layout.
• Top-center panel: the evolution of the energy function values.
• Top-right panel: the evolution of the acceptation rate values.
• Bottom line panels: the evolution of the beam pattern profiles at the depths where the optimization occurred.
The content that is displayed on this video screen is the following:
• Top-left panel: the evolution of the active elements distribution on the layout.
• Top-center panel: the evolution of the energy function values.
• Top-right panel: the evolution of the acceptation rate values.
• Bottom line panels: the evolution of the beam pattern profiles at the depths where the optimization occurred.
The content that is displayed on this video screen is the following:
• Top-left panel: the evolution of the active elements distribution on the layout.
• Top-center panel: the evolution of the energy function values.
• Top-right panel: the evolution of the acceptation rate values.
• Bottom line panels: the evolution of the beam pattern profiles at the depths where the optimization occurred.
The content that is displayed on this video screen is the following:
• Top-left panel: the evolution of the active elements distribution on the layout.
• Top-center panel: the evolution of the energy function values.
• Top-right panel: the evolution of the acceptation rate values.
• Bottom line panels: the evolution of the beam pattern profiles at the depths where the optimization occurred.
Presenting [3] in Taipei (Taiwan), Oct. 2015