Imaging, Functional and Electrophysioolgical Evaluation of the Eye
A.Y. 2019/2020
Learning objectives
The course aims to provide the basic notions inherent in diagnostic imaging of the ocular apparatus, from the ocular surface to the retina.
The aspects dealt with in the various modules will be complementary and will include:
-the principles behind the acquisition, processing and archiving of digital images in the field of medical diagnostics
-role, advantages and limitations of diagnostics imaging
-basic principles of tool operation and image analysis and processing
-pathophysiological and clinical elements useful for understanding the correct use and clinical interpretation of the diagnostic imaging methodology
-technical elements useful for performing the examination as an operator
The aspects dealt with in the various modules will be complementary and will include:
-the principles behind the acquisition, processing and archiving of digital images in the field of medical diagnostics
-role, advantages and limitations of diagnostics imaging
-basic principles of tool operation and image analysis and processing
-pathophysiological and clinical elements useful for understanding the correct use and clinical interpretation of the diagnostic imaging methodology
-technical elements useful for performing the examination as an operator
Expected learning outcomes
At the end of the course, the student will be able to know how to use the main methods of semeiological investigation in the ophthalmological field having acquired the fundamental knowledge of each instrumental methodologies in order to conduct the examinations in the most precise way, efficient and effective
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Prerequisites for admission
No prior knowledge required
Assessment methods and Criteria
Written test with multiple choice and Drab
Malattie dell'apparato visivo
Course syllabus
The role of imaging in diagnostics: advantages and limitations
Photography in ophthalmic diagnostics
Cornea and ocular surface imaging
Posterior segment imaging
Photography in ophthalmic diagnostics
Cornea and ocular surface imaging
Posterior segment imaging
Teaching methods
Frontal lessons
Teaching Resources
Slides and bibliography by the Lecturer (slides that retrace the topics covered in the lesson)
The preparation is based on the slides provided by the teacher an available on the Ariel website and on the recommended books. Scientific articles
The preparation is based on the slides provided by the teacher an available on the Ariel website and on the recommended books. Scientific articles
Scienze tecniche mediche applicate
Course syllabus
Anterior segment diagnostics
Biomicroscopy
Tonometry
Biometrics
Ultrasound
Endothelial biomicroscopy
OCT
HRT
Retinography
Fluorangiography
Corneal topography
Pentacam
Biomicroscopy
Tonometry
Biometrics
Ultrasound
Endothelial biomicroscopy
OCT
HRT
Retinography
Fluorangiography
Corneal topography
Pentacam
Teaching methods
Frontal lessons
Teaching Resources
Slides and bibliography by the Lecturer (slides that retrace the topics covered in the lesson)
The preparation is based on the slides provided by the teacher an available on the Ariel website and on the recommended books. Scientific articles
The preparation is based on the slides provided by the teacher an available on the Ariel website and on the recommended books. Scientific articles
Sistemi di elaborazione delle informazioni
Course syllabus
- Phenomena of radiation-matter interaction underlying the vision
- Characteristics of vision and perceptual phenomena
- Color characteristics: Gamut, chromaticity coordinates and color spaces
- Elements of computer science
- Hints of computer graphics
- Spatial sampling and luminance quantization
- Quality parameters of a digital image and sources of noise
- Graphic file formats
- Lossless and lossy compression
- Color indexed formats
- Digital images in medicine
- Operations on digital images: punctual, local and global operators
- Operations on the histogram of the gray levels
- Contrast expansion
- False color coding
- Filters based on convolution matrix: smoothing and sharpening filters, contour detection
- Introduction to the space Fourirer transform
- Low pass and high pass filters in the frequency domain
- Computer classroom demonstrations
- Characteristics of vision and perceptual phenomena
- Color characteristics: Gamut, chromaticity coordinates and color spaces
- Elements of computer science
- Hints of computer graphics
- Spatial sampling and luminance quantization
- Quality parameters of a digital image and sources of noise
- Graphic file formats
- Lossless and lossy compression
- Color indexed formats
- Digital images in medicine
- Operations on digital images: punctual, local and global operators
- Operations on the histogram of the gray levels
- Contrast expansion
- False color coding
- Filters based on convolution matrix: smoothing and sharpening filters, contour detection
- Introduction to the space Fourirer transform
- Low pass and high pass filters in the frequency domain
- Computer classroom demonstrations
Teaching methods
Frontal lessons
Teaching Resources
- "Principles of Digital Image Processing" Wilhelm Burger, Mark J. Burge - Springer
- "Digital Image Processing (second edition)" Rafael C. Gonzalez, Richard E. Woods - Prentice Hall
- "Digital Image Processing (second edition)" Rafael C. Gonzalez, Richard E. Woods - Prentice Hall
Malattie dell'apparato visivo
MED/30 - OPHTHALMOLOGY - University credits: 2
Lessons: 20 hours
Professor:
Villani Edoardo
Shifts:
-
Professor:
Villani Edoardo
Scienze tecniche mediche applicate
MED/50 - APPLIED MEDICAL TECHNOLOGY AND METHODOLOGY - University credits: 2
Practicals: 30 hours
Professor:
Bucella Xenia Celeste
Shifts:
-
Professor:
Bucella Xenia Celeste
Sistemi di elaborazione delle informazioni
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 1
Lessons: 10 hours
Professor:
Buscaglia Marco
Shifts:
-
Professor:
Buscaglia MarcoProfessor(s)