Image Reconstruction in Ultrasound Reflection Tomography using Quick High-Resolution Method

Abstract

This paper presents an image reconstruction method for reflective ultrasonic tomography. The variation of the time corresponding to the first peak for the transmitter-receiver pairs is used in the transmission tomography. Commonly, all the reflected packets are used in the reflective reconstruction, but here we assume that the inside of the object is either changing or has a high absorption coefficient. Classical tomography methods are based on an equation where the system matrix is not square. Therefore, inverting such a matrix is a complex task. The solution to this problem is our simple geometrical method, which is very fast and accurate. Moreover, a very high spatial resolution can be achieved. In this case, the amount of information obtained from the system is limited only by the number of transducers used for the ultrasonic measurement.

Ultrasound tomography enhancement by signal feature extraction with modular machine learning method

“…The tank, see Fig 1B , is filled with water and equipped with 32 ultrasonic transducers arranged clockwise, which are connected to the main unit responsible for controlling a measurement sequence. The ultrasound tomograph allows for any signal generation procedure and data reading from selected sensors, resulting in the possibility of the desired arrangement of measurement sequence [ 21 ]. In this case, the device generates an excitation signal consisting of 3 pulses and records the response for a single sensor, this is repeated for all other probes.…”

“…IPT deals with very complex problems aimed at monitoring and then optimizing technological processes using various measurement methods, including X-ray diffraction tomography [ 16 ] or microtomography [ 17 ], electrical resistance [ 18 ] and electrical capacitance tomography [ 19 ]. The advantage of using ultrasonic methods [ 20 , 21 ] over other methods is that they provide a higher level of operational safety than X-ray methods, they can be used in areas without restrictions, and the results are easy to interpret.…”