Acoustical Compressive 3D Imaging with a Single Sensor

Abstract (2017)

Authors

P. Kruizinga Erasmus MC

Pim van der Meulen Signal Processing Systems -

F. Mastik Erasmus MC

Andrejs Fedjajevs External organisation

Geert Springeling Erasmus MC

N. de Jong Erasmus MC

G. Leus Signal Processing Systems -

J.W. Bosch Erasmus MC

Research Group

Signal Processing Systems () (TU Delft)

Imaging Hardware Encoding Transducers Acoustics Three-dimensional displays Rotation measurement

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Published Date

2017

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

Abstract

3D ultrasound (US) requires expensive transducers comprising thousands of elements and complicated hardware. This complexity originates from the classical idea on spatial sampling requirements for US imaging. The discovery of compressive sensing allows to ease this sampling constraint, enabling smarter ways of recording the required information. Inspired by this work we introduce a US imager that can perform 3D imaging using one acoustic sensor. Our device sends and detects US waves through a random coding mask that enables unique signals at every voxel. Rotation of the mask allows for several compressed measurements. By knowing the voxel signals, a full 3D reconstruction of the object can be obtained, as we demonstrate in this work.