The document discusses digital fluoroscopy and angiography techniques. It covers reasons for subtraction imaging including improving conspicuity and contrast. It describes the equipment used for digital fluoroscopy including differences from conventional fluoroscopy. Key steps in the image digitization process are outlined including spatial digitization into pixels and analog-to-digital conversion. Sources of noise and artifacts are discussed as well as techniques for motion compensation and dual energy subtraction imaging.
8. Digital Fluoroscopy Equipment (con’t)
Camera Differences:
Low electronic noise
(to not add to QM)
Must be low lag
Usually high
resolution (10242)
today
CCD more common
today
9. Image Digitization
Two Steps:
Spatial Digitization:
– Generate matrix of pixels (rows and columns)
Analog-to-Digital Conversion
– Generate digital number from analog signal
measurement for each pixel
11. Spatial Digitization (continued)
How many pixels?
Acquire via TV
camera: one matrix
row per TV line
(eg-512 rows if
525-line TV)
Measure each TV
line 512 times for
512 pixels/row
Newer systems:
1024x1024 (hi-res)
16. Iodine Brightness & X-ray Intensity
Pixel value proportional to x-ray intensity ‘N’
at image intensifier (a= constant of propor):
For mask: M =aN
For Enhanced Image: E = aNe-µd
Subtracted: M-L = aN - aNe-µd
= aN(1- e-µd)
aNµd
Where: µ = attenuation of iodinated vessel
d = projected thickness of vessel
17. Logarithmic Conversion
Pixel value proportional to x-ray intensity ‘N’
at image intensifier (a= constant of propor):
For mask: M =Log(aN)
For Enhanced Image: E = Log(aNe-µd)
= Log(aN) - µd
Subtracted: M-L = Log(aN) - Log(aN) + µd
M-L = µd
20. Noise In DSA
Noise is limiting factor in DSA image quality:
if not, Iodine concentration could be reduced
(and iodine reaction is serious consideration)
Noise is worse in subtraction image than in
either original image (~1.41 times higher)
Increasing mAs reduce quantum mottle only.
Other noise sources may become apparent,
Frame-averaging reduces all sources of noise
equally--preferred
23. MOTION IN ANGIOGRAPHY
Exams uncorrupted by motion is a main reason
DSA rapidly replaced film SA: Methods:
Pixel shifting: “move” mask relative to image by
fractions of a pixel until “good subtraction found
– Usually fixes motion at least over area of interest
Remasking:
– Select image acquired after motion (or at end of
run) to use as mask instead.
Last Resort: Reacquire: know quickly if needed
Ideal: Take mask and run image at same time (??)