Author_Institution :
Crosetto Found. for the Reduction of Cancer Deaths, DeSoto, TX, USA
Abstract :
This paper addresses the approach I took “Beyond Imagination of Future Science” that breaks the speed barrier in real-time applications, which I presented at 3 international conferences within a month in 1992. That same year it was published in scientific peer-review journals. It was recognized valuable by a major scientific review requested by the SSC Director in 1993 (http://links.u2ec.net/doc2/300.pdf) and in letters from several leaders in the field. A study of the scientific literature before and after my invention shows that the effort to develop fast, expensive, high power consumption Ga-As, ECL, etc., circuits for level-1 trigger has become obsolete because my invention can use cost-effective technology, sustain a high input data rate, while at the same time executing complex real-time uninterruptable algorithms for a time period longer than the interval between two consecutive input data. However, as occurs with many breakthroughs, it takes time to fully uncover and develop all the benefits that I integrated with other inventions in detector assembly, segmentation, and coupling of detectors to the electronics that go beyond the original 3D-Flow parallel-processing architecture. The basic 3D-Flow invention, together with other inventions I developed after the year 2000 it can greatly benefit medical imaging applications, thus making effective early cancer detection possible while lowering radiation exposure and the examination cost. This paper presents the proof of concept of my invention as demonstrated in the hardware modular system I built. It addresses what has been understood, what still needs to be understood and what needs to be implemented. This novel decision unit (trigger) will provide a more powerful tool to accurately capture and measure the characteristics of new particles, helping to rule out or confirm expectations. More importantly, it will provide a significant leap in reducing cancer deaths and cost through effective early - ancer detection.
Keywords :
aerospace biophysics; biomedical imaging; cancer; particle detectors; reviews; 3D-flow parallel-processing architecture; astrophysics; effective early cancer detection; electronics; hardware modular system; medical imaging applications; particle detection; radiation exposure; real-time uninterruptable algorithms; Cancer; Cancer detection; Detectors; Positron emission tomography; Real-time systems; Sensitivity; Technological innovation;