LEARNING OUTCOMES
Upon successful completion of the course the student will be able to:
- Describe the basic structural elements of Computed Tomography equipment and the differences between systems. Image processing, raw data, image data, algorithms, technical artifacts
- Know specifically the radiation protection principles in Computed Tomography
- Perform the routine examinations of brain, thorax, abdomen and all other anatomic regions and be familiar with the gross abnormalities in order to apply the appropriate techniques for the best visualization of pathology (measurements, analysis)
- Become familiar with Image analysis, Correlation with the final result
- Recognize the factors of image degradation of digital images
- Use of PACS systems, components and function
- Use DICOM images, transferred via PACS, know the medical archive of patient
- Know about safety issues in information technology
- Tell the difference between simple and diagnostic monitors
Aim and objectives of the course:
The aim of the course is to present the student with:
the modality of Computed Tomography and the developments of the technique. the indications and protocol design of the various anatomical regions.
the necessary practical steps of using and optimizing the protocols that will demonstrate diagnostically of each examined area and the particularities of each patient.
the techniques of digital image processing in modern computing systems, comparison of analogue and digital imaging quality assessment of CR and DR images.
Quality assessment of imaging systems.
SYLLABUS
1. Introduction to Computed Tomography – Physical Principles – Equipment
2. Helical and Multisclice Computed Tomography
3. Method of examination, image reconstruction and image quality
4. Image Processing and reading ways
5. CT of brain, neck and spine
6. CT of thorax and abdomen
7. CT of upper extremity and shoulder
8. CT of lower extremity and pelvis
9. CT of sinus and orbits
10. Analog to digital converters, sampling, remote use of medical modalities, CAD systems, organization of medical information with computers for the management of information in departments of Radiology, CT, MRI, Nuclear Medicine, DSA, P.A.C.S.
11. Properties of medical images and evaluation parameters (DQE, MTF, SNR, CNR, noise levels and types, spatial resolution, histograms of gray scale, WW,WL)
12. Artifacts in digital images, acceptable images, save, compression and recovery of digital images.