1 / 37

Resident Physics Lectures

Resident Physics Lectures. The Radiographic Image & Geometry. George David, MS, FAAPM, FACR Associate Professor Department of Radiology Medical College of Georgia. Contrast. difference in density between areas on the radiograph Contrast depends on subject contrast receptor contrast

ahartin
Download Presentation

Resident Physics Lectures

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Resident Physics Lectures The Radiographic Image & Geometry George David, MS, FAAPM, FACR Associate Professor Department of Radiology Medical College of Georgia

  2. Contrast • difference in density between areas on the radiograph • Contrast depends on • subject contrast • receptor contrast • scatter

  3. * Subject Contrast I • difference in x-ray intensity transmitted through various parts of subject • Depends on • thickness difference • density difference • atomic number difference • radiation quality (kVp, HVL) IS IL Subject Contrast = IS / IL

  4. * Subject Contrast & Radiation Quality • high kVp = lower subject contrast • long scale contrast (less difference between areas receiving varying amounts of radiation) • low kVp = high subject contrast • short scale contrast (more black & white; more difference between areas receiving varying amounts of radiation) • low kVp increases patient dose

  5. Scatter • Reduces contrast • Produces unwanted density • Mostly a result of Compton interactions • Increases with • kVp • part thickness • field size • collimation reduces scatter

  6. Image Quality • ability of image receptor to record each point of image as point on the display • Influenced by • radiographic mottle • also called noise • sharpness • resolution

  7. Image Quality: 3 Definitions • Depends only on intrinsic, objective physical characteristics of imaging system • Can be measured independent of observer • Quantitative • Whatever observer says it is • Subjective perception of image • Defined by observer’s ability to achieve an acceptable level of performance for a specified task. Courtesy Ralph Schaetzing, Carestream Health

  8. You Already Know Some Imaging Statistics

  9. Noise & a Die • You throw the die 6 times. Is this die rigged?

  10. Noise & a Die • You throw the die 6 million times. Is this die rigged? 1 million 2’s 1 million 3’s 1 million 1’s 2 million 6’s 1 million 4’s

  11. Raindrops • When it first starts to rain, one can see where each drop landed • After a few minutes, sidewalk looks uniformly wet

  12. X-Ray Images Are Created One Photon at a Time • Credit: Sprawls.org Few Photons Many Photons

  13. Quantum Mottle • Appearance • irregular density variations in mid-density areas exposed to uniform x-ray fields • Cause • random x-ray emission • statistical fluctuations in # of quanta / unit area absorbed by receptor

  14. Noise & Money • Which photo has more stacks of money? ? Hint: One photo has one more stack than the other

  15. Noise & Money • Which photo has more stacks of money? ? Hint: One photo has one more stack than the other

  16. Noise & Image Quality • Cause of noise (quantum mottle) • statistical fluctuation in # of x-ray photons forming image • Ability to see high contrast objects limited by image sharpness • High noise reduces visibility of low contrast objects • most important diagnostic information here

  17. FocalSpot Object Receptor Similar Triangle Review A B b a h H c C Object Receptor a b c h---- = --- = --- = --- A B C H

  18. Magnification Defined FocalSpot size of image --------------------size of object Object Image

  19. Using Similar Triangles FocalSpot size of image Magnification = -------------------- size of object focus to image distance HMagnification = ---------------------------- = --- focus to object distance h h H Object Image

  20. * Optimizing Image Quality by Minimizing Magnification focus to receptor distance Hmagnification = --------------------------------------- = --- focus to object distance h FocalSpot • Minimize object-receptor distance • Maximize focal-receptor distance h H Object Image

  21. Ever-present Imaging Artifact • Occurs whenever we image 3D object in 2D • Work-around • Multiple views ? ?

  22. Sharpness • Ability of receptor to define an edge • Sharpness and Contrast • unsharp edge easier to detect under conditions of high contrast • sharp edge are less visible under conditions of low contrast • One cause of unsharpness • Penumbra • Shadow caused by finite size of focal spot

  23. Penumbra Area sourcefocal spot • Latin for “almost shadow” • also called edge gradient • region of partial illumination • caused by finite size of focal spot • smears edges on image • zone of unsharpness called • geometric unsharpness • penumbra • edge gradient Image

  24. Minimizing Geometric Unsharpness Minimize • minimize focal spot size • maximize source to image distance • minimize object to image distance maximize minimize

  25. Focal Spot Size • Trade-off • heat vs. resolving power • exposure time vs. resolving power • Focal Spot Size most critical for • magnification • mammography

  26. Sources of Unsharpness • Geometry • Motion • minimized by short exposure times • Absorption • absorber may not have sharp edges • round or oval objects

  27. Absorption Unsharpness • Cause • gradual change in x-ray absorption across an object’s edge or boundary • thickness of absorber presented to beam changes • Effect • produces poorly defined margin of solid objects X-RayTube X-RayTube X-RayTube

  28. Total Unsharpness • combination of all the above BUTnot the sum • larger than largest component • largest component controls unsharpness • improvement in smaller components don’t help much

  29. Sharpness & Resolution • Sharpness • ability of imaging system to record sharply defined margins or abrupt edges • Resolving Power (Resolution) • ability to record separate images of small objects very close together

  30. Relative Position Distortion Shape Distortion X-RayTube X-RayTube Image Image Distortion Types minimal distortion when object near central beam & close to receptor

  31. Motion Unsharpness • Caused by motion during exposure of • Patient • Tube • Receptor • Effect • similar to penumbra • Minimize by • immobilizing patient • short exposure times

  32. Inverse Square Law Intensity a 1/d2 • intensity inversely proportional to square of distance • if distance 2X, intensity drops by 4X • Assumptions • point source • no attenuation d

  33. Loss of Contrast as a Result of Unsharpness • as sharpness decreases so does contrast • less sharp system blurs dark & light areas together • maximum density decreases • minimum density increases • at very high frequency image will be uniform gray

  34. Loss of Contrast 100% (1) 80% (0.8) Lowest Frequency 40% (0.4) 0% (0.0) Highest Frequency Fraction of contrast reproduced decreases at increasing frequency because lines and spaces blur into one another

More Related