Efficient stratified 3D scatterer sampling for freehand ultrasound simulation
Résumé
Ultrasound image simulation is a well-explored field with the main objective of generating realistic synthetic images, further used as ground truth for computational imaging algorithms, or for radiologists’ training. Several ultrasound simulators are already available, most of them consisting in similar steps: (i) generate a collection of tissue mimicking individual scatterers with random spatial positions and random amplitudes, (ii) model the ultrasound probe and the emission and reception schemes, (iii) generate the RF signals resulting from the interaction between the scatterers and the propagating ultrasound
waves. This paper is focused on the first step. To ensure fully developed speckle, a few tens of scatterers by resolution cell are needed, demanding to handle high amounts of data (especially in 3D) and resulting into important computational time. The objective of this work is to explore new scatterer spatial distributions, with application to multiple coherent 2D slice simulations from 3D volumes. More precisely, lazy evaluation of pseudorandom
schemes proves them to be highly computationally efficient compared to uniform random distribution commonly used. We also propose an end-to-end method from the 3D tissue volume to resulting ultrasound images using coherent and 3D-aware scatterer generation and usage in a real-time context.
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