Thursday, December 9, 2010

December 9th Quiz

Click here for quiz, and once you are done, please check back on this site for the course evaluation.

Click here for the course evaluation. Do not put your name in the name box, put Computerized Imaging.

Thursday, November 18, 2010

Friday, November 12, 2010

PowerPoint Presentation--November 11th & 18th



Click here for full-screen version.

Animations for slides 4, 5, 6, and 7



Thursday, November 4, 2010

Data Acquisition in CT

The topic covered in class on November 4th, 2010 was Data Acquisition in CT

There is a link to the handout on the upper right of this blog.

There will be no in-class sessions until December 2nd (the date of the class presentations).

All course material will be provided on this web-blog or via e-mail.

The quiz scheduled for November 18th will be on the Internet at 6:00-7:00 pm. More information will follow.

Wednesday, October 20, 2010

Content Specifications for October 21st Quiz

The quiz will be held in the computer laboratory on the third floor of the SB building.

There are 30 multiple choice questions.

Topics that will be covered include:

CT numbers (how does a higher energy beam affect the CT number)

Linear attenuation coefficient

The Hounsfield scale (relative positions of different tissues on the scale, range of CT numbers, etc.)

Windowing
  • window level (WL)
  • window width (WW)
  • appearance of tissues when WL and/or WW is adjusted
  • effect of WL and WW on tissue density and contrast
Wave theory
  • Sine wave
  • wavelength
  • frequency
  • period
  • amplitude
  • phase
  • units of measurement (hertz kilohertz, etc.)
What is an ADC? (see PowerPoint presentation below)
  • sampling rate/frequency
  • sampling precision
  • quantization
  • purpose of a Fourier transform
  • time domain
  • frequency domain
  • What is the Nyquist sampling rate and what does it indicate?

PowerPoint Presentation for October 13th Class

The presentation below introduces two very important concepts in digital imae processing:
1. The Fourier Transform
2. The Nyquist Theorem

Click here for full page presentation