Advanced tomographic algorithms and their potential applications to ultrasound imaging

Abstract

The success of computed tomography has led to the development of a wide variety of tomographic imaging techniques. There has always been a great interest in ultrasound‐based tomographic imaging because it can provide detailed, quantitative information about the imaged subject, which can be used for diagnosis, evaluation, and monitoring of cancer and other diseases. Tomographic imaging relies not only upon the imaging system for data acquisition but also upon the algorithms for image recovery from the data. In the last decade or so, there has been a tremendous development of innovative algorithms for tomographic imaging. One important breakthrough is that an artifact‐free ROI image within the subject can be obtained from, e.g., truncated data. This breakthrough has led to the development of the so‐called targeted‐ROI imaging strategy in which one can substantially reduce imaging effort and artifacts. There have also been significant advances in reconstructing images from highly incomplete data acquired, e....