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Biomedical image processing

COURSE: Biomedical image processing

Code: ФЕИТ05024

ECTS points: 6 ЕКТС

Number of classes per week: 3+0+0+3

Lecturer: prof. d-r Lidija Ololoska - Gagoska

Subject of the course content:

Basic concepts of image processing: Image presentation in original and the transformation domain, Digitization, Visual perception, Noise and quality; Components of the imaging system

Modalities for biomedical imaging: Physics of X-ray theorem of projection sections, X-ray imaging and CAT-images, Physical and physiological principles of MRI and MR-imaging, physical and physiological principles of ultrasound and US-imaging

Fundamentals of morphological image processing: Introduction, Logical operations in digital images, Dilation and erosion, Opening and closing

Filtering, improvement and restoration: Modification of intensity; Processing with masks; Processing in the domain of spatial frequencies, Noise removal with wavelet

Movement: Introduction, Quantification of motion from image sequences; Application to dynamic biological phenomena measurement

Fundamentals of image compression: Introduction, Lossless compression, Compression with losses
Detection of edges and segmentation: Detection of edges, threshold-based segmentation, segmentation based on regions, Segmentation with morphological watershed; Application of movement in segmentation
Rigid and non-rigid registration: Introduction and transformations; metrics for coupling, Optimization and interpolation; Robustness

Literature:

  1. K. Najarian, R. Splinter:  Biomoomтално процесирање на сигналински сигнали од микробиологија
  2. молекуларните итеракции, како и техники кои се користат за опишуedical Signal and Image Processing, CRC Press, 2006
  3. Rafael C. Gonzalez, Richard E. Woods: Digital Image Processing, Prentice Hall, 3rd ed., 2007