A.T. said:
A traditional CT produces at least 16bit images which is 65536 shades of gray, not 32.
I did not imply that a CT scanner can only display 32 shades of gray. TVs and monitor are capable of displaying currently I believe up to 4000 shades of gray. The human eye can only distinguish about 32 distinct shades of gray or brightness levels under given lighting conditions, that is from the bright to black can be divided into some 32 shades of brightness that can be determined to be distinct. This would be similar to saying that the brain digitized its perceived brightness levels at about 5 bits. Check out on the web the Mars contrast test chart which show letters of different shades of gray with a brightness range of 100:1 in equal decrease in brightness. There are 40 letters. Note the contrast between adjacent letters and tell me how conspicuously different they are.
A.T. said:
What the eye can distinguish is not a limiting factor here, because you usually look at CT-imagery using software, which allows you to change the gray value range that you want map on a black to white scale.
In CT imaging what is determined is the relative attenuation of the tissue as determined by CT number which is normalized to water which is set to zero. This normalization of CT numbers is referred to as Hounsfield units. Air becomes -1000, Lung about -600, water of course is 0, muscle about 50, bone is about 1800 with all other tissue between these numbers. Other substances particularly with atomic numbers greater than calcium will have HU of higher value. In CT visualization of the data(HU) depending on what part of the anatomy or pathology that is of interest, a base level for the HU of interest is chosen and a range (window) is set to encompass the range of HU that is of interest. The available brightness levels available from the monitor is then spread across the value of HU to be visualized.
A.T. said:
MARS is not about increasing the density resolution, but about adding a different type of information based on frequency.
My post did not say that. I specifically referred to density
and chemical composition as determining the CT number. CT scanners as well as the MARS instrument can do this. The Mars system can more definitively delineate substances based on composition as well as density.
artis said:
As for the ordinary x ray images and the limit of the human eye for shades of grey I think this might get solved in the very near future with specific AI (not confused with general AI) where we already have software capable of telling each two human faces apart and recognizing face patterns I also read about technology that will be able to take an ordinary X ray and get much much more information out of that single picture as compared to what an average doctor might see in the picture, shouldn't this capability render the color x ray kind of "just another thing" ?
Yes . AI can look* at the HU (see above) values specifically and tell the difference between two areas which are statistically different but which may not be appreciated by a human looking at a monitor. It can do this without setting specific HU levels and windows (see above). It can also more easily with a patients digital medical record correlated the CT finding with the differential diagnoses and rare conditions not remembered by a human as well as finding incidental conditions not yet clinically manifested (humans do this too but AI could be more sensitive and faster).
* If I were in the business of developing AI for CT this is what I might try.WRT color representation. As I stated above the human eye can only perceive certain differences brightness. Using different colors that range can be applied to as many colors as can be prominently represented. So with red, green, orange and blue you can have a brightness scale for each and thus display four times the information compared to gray scale presentation or you could fold the color together to represent a the different HU in the range more conspicuously.