https://phys.org/news/2016-10-ultrasound-imaging-gaining-precision.html
This link doesn't give any meaningful details of how that software works and, as a (modest) computer expert, I would really like to know how it works. All it say on it is;
"They developed 'smart' echographic image-reconstruction algorithms that interpret the echoes picked up by the probe and fill in the missing data.".
I found this sun-link that explains what I want to know;
https://ieeexplore.ieee.org/document/7582552
But, unfortunately, its language is far to technical even for me so I had to given up trying.
But at least I (and we) now know that significant improvements CAN be made to imaging just by making some improvements in the image-processing software alone, which I personally think is nice to know.
Not sure but perhaps some part of my current AI research will eventually help with that? -we will just have to wait and see for that one.
@humy saidI read the abstract of your second link. It looks like they do Fourier analysis on the output and have some way of removing artifacts. I need to "sign in" to read the whole thing and will make a decision about that later as my last major job was helping to write and improve a VSIPL function library - that Vector Signal and Image Processing. The functions were things like FFTs (Fast Fourier Transforms), Digital Filters, and Linear Algebra functions (solvers and so forth). So thanks for putting me on to this.
https://phys.org/news/2016-10-ultrasound-imaging-gaining-precision.html
This link doesn't give any meaningful details of how that software works and, as a (modest) computer expert, I would really like to know how it works. All it say on it is;
"They developed 'smart' echographic image-reconstruction algorithms that interpret the echoes picked up by the probe and fill in the ...[text shortened]... current AI research will eventually help with that? -we will just have to wait and see for that one.
@deepthought saidI am afraid I think all that is over my head because I had to look up both "Vector Signal and Image Processing" and "Fast Fourier Transforms" as these things wasn't anything I did at university with my many computer courses. Just me taking a quick peek at the wiki formula definition of "Fast Fourier Transforms" (see https://en.wikipedia.org/wiki/Fast_Fourier_transform ), which involves complex numbers, instantly makes me give up trying to understand it (at least for now).
I read the abstract of your second link. It looks like they do Fourier analysis on the output and have some way of removing artifacts. I need to "sign in" to read the whole thing and will make a decision about that later as my last major job was helping to write and improve a VSIPL function library - that Vector Signal and Image Processing. The functions were things li ...[text shortened]... Filters, and Linear Algebra functions (solvers and so forth). So thanks for putting me on to this.
I think I better only spend time trying to understand only what I need to understand to do my current unique and highly specialized AI research, which will take me a very long time and is certainly hard enough to understand!
You not only know more about physics than I do but you seem to know more about computer science than I do despite computer science being my main area of specialty. Anyone who says or believes you aren't very well formally qualified in science is truly an idiot (guess who I have in mind here).