Ders Planı

CLASS 4

Lesson plan / QUALITY IN MEDICAL IMAGING -I

Lesson Information

Course Credit	2.0
Course ECTS Credit	2.0
Teaching Language of Instruction	Türkçe
Level of Course	Associate's Degree, TYYÇ: Level 5, EQF-LLL: Level 5, QF-EHEA: Short Cycle
Type of Course	Compulsory
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	Z
Course Coordinator
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	This course aims to provide knowledge regarding Quality Assurance (QA) and Quality Control (QC) processes in medical imaging—specifically focusing on achieving optimum image quality in a cost-effective manner while minimizing patient radiation exposure—by covering the factors that define image quality, their proper management, and the fundamental QC and calibration methods that ensure the reliability of diagnostic information. Additionally, it aims to develop competencies in professional communication skills that maximize patient safety and well-being, as well as patient and physician satisfaction, all of which are integral parts of medical imaging processes.
Course Content	Introduction to Quality in Medical Imaging: Basic concepts and standards regarding QA and QC, appropriateness criteria, and the duties and responsibilities of technicians in medical imaging quality processes; Importance of Communication in Medical Imaging: Communication with patients, communication with radiologists and other support staff, ensuring patient safety in radiology; Factors (criteria) defining image quality in radiography (edge sharpness, edge blur, density and brightness, contrast, spatial resolution, distortion), artifacts; Digital image quality criteria (Signal-to-Noise Ratio, Contrast-to-Noise Ratio, detector efficiency, etc.); Geometric factors affecting image quality (SID, SOD, focal spot size, etc.), scatter control and operating parameters (kVp, mAs), determination of appropriate dose, basic quality control and calibration tests for radiographic equipment, AI-supported devices, and the contribution of AI to quality processes in medical imaging.

The aim of the course

This course aims to provide knowledge regarding Quality Assurance (QA) and Quality Control (QC) processes in medical imaging—specifically focusing on achieving optimum image quality in a cost-effective manner while minimizing patient radiation exposure—by covering the factors that define image quality, their proper management, and the fundamental QC and calibration methods that ensure the reliability of diagnostic information. Additionally, it aims to develop competencies in professional communication skills that maximize patient safety and well-being, as well as patient and physician satisfaction, all of which are integral parts of medical imaging processes.

Course Content

Introduction to Quality in Medical Imaging: Basic concepts and standards regarding QA and QC, appropriateness criteria, and the duties and responsibilities of technicians in medical imaging quality processes; Importance of Communication in Medical Imaging: Communication with patients, communication with radiologists and other support staff, ensuring patient safety in radiology; Factors (criteria) defining image quality in radiography (edge sharpness, edge blur, density and brightness, contrast, spatial resolution, distortion), artifacts; Digital image quality criteria (Signal-to-Noise Ratio, Contrast-to-Noise Ratio, detector efficiency, etc.); Geometric factors affecting image quality (SID, SOD, focal spot size, etc.), scatter control and operating parameters (kVp, mAs), determination of appropriate dose, basic quality control and calibration tests for radiographic equipment, AI-supported devices, and the contribution of AI to quality processes in medical imaging.

Learning Outcomes

Possesses fundamental, current, and applied knowledge related to the profession.knowledge
Possesses knowledge regarding occupational health and safety, environmental awareness, and quality processes.
Follows current developments and practices related to the profession and utilizes them effectively.
Effectively uses information technologies (software, programs, animations, etc.) related to the profession.
Possesses the ability to independently evaluate professional problems and issues using an analytical and critical approach and to propose solutions.
Students can effectively present and clearly express ideas—based on their knowledge and skills—through written and oral communication.
Takes responsibility as a team member to solve complex, unforeseen problems encountered in practices related to the field.
Possesses awareness regarding career management and lifelong learning.
Adheres to social, scientific, cultural, and ethical values during tAdheres to social, scientific, cultural, and ethical values during the stages of data collection, application, and dissemination of results in the field.
AUses a foreign language to keep up with information in their field and communicate with colleagues.
Knows professional terminology, the equipment used, and the operating principles of the equipment.
Possesses the skills to prepare the patient, perform imaging, and check image quality prior to the procedure
Possesses the knowledge and skills to process the obtained images, carry out film printing, and archive the records.

Weekly Course Subjects

1	Introduction to Quality in Medical Imaging: Basic Concepts and Standards Regarding Quality Assurance and Quality Control, Appropriateness Criteria.
2	Duties, Responsibilities, and Professional Ethical Principles of Technicians in Medical Imaging Quality Processes.
3	Importance of Communication in Medical Imaging: Communication with Patients, Communication with Radiologists and Other Support Staff; Ensuring Patient Safety
4	Physical Principles of Radiographic Image Formation and Factors Defining Image Quality: Edge Sharpness, Edge Blur, Density and Brightness, Contrast, Spatial Resolution, Distortion, Artifacts No file uploaded
5	Digital Image Quality Metrics (Signal-to-Noise Ratio, Contrast-to-Noise Ratio, Detector Efficiency, etc.)
6	Geometric Factors Affecting Image Quality (SID, SOD, Focal Spot Size, etc.)
7	Factors Affecting Image Quality: Scatter Control and Operating Parameters (kVp, mAs)
8	Determination of Appropriate Dose; Automatic Exposure Control (AEC).
9	Methods for Identifying and Preventing Artifacts and Distortion.
10	Basic Quality Control and Calibration Tests for Radiographic Equipment (kVp Test, mAs Test, Exposure Reproducibility and Linearity).
11	Basic Quality Control and Calibration Tests for Radiographic Equipment (Light Field Alignment and Collimation Test; Half-Value Layer Test)
12	Basic Quality Control and Calibration Tests for Radiographic Equipment: Leakage Radiation Test, Exposure Time Test, etc.)
13	AI-Assisted Devices and the Contribution of AI to the Quality Process in Medical Imaging.
14	Seminar by External Stakeholders on the Course Topic (Planned: Identification and Correction of Artifacts: Assoc. Prof. Dr. İsmail Yurtsever, Radiology Specialist)

Resources

1-Lecture Notes

CLASS 1

CLASS 2

CLASS 3