NBE-E4010 - Medical Image Analysis D, Lecture, 13.9.2021-22.12.2021

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After taking the course, the student can

  • explain the basics of medical image enhancement, segmentation and registration methods,
  • describe assumptions and needs behind medical applications (image analysis vs. medical image analysis),
  • choose image analysis methods for solving specific medical image analysis problems,
  • implement simple medical image analysis algorithms,
  • validate image analysis methods, and
  • read critically literature on the topic.

Credits: 5

Schedule: 13.09.2021 - 22.12.2021

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Jyrki Lötjönen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    The course gives basic knowledge about different techniques used in medical image analysis: image enhancement, feature detection, image segmentation, image registration, classification and validation. The focus is on getting an overview of various methods used widely in medical image analysis and giving tools to students for solving various image analysis problems in practise. Multiple examples of real life medical image analysis problems are presented. The course gives also understanding about validation of different methods, which is essential in medicine.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    • Exercise works are mandatory and contribute to grading. They need to be accepted before participating in the exam.
    • Exam passed.

Workload

  • valid for whole curriculum period:

    • Contact teaching: 11 x 2 h lectures, 3 x 2 h exercise sessions
    • Studying course material and solving exercise problems: 5 x 12 h
    • Exercise works: 3 x 13 h

DETAILS

Study Material

  • valid for whole curriculum period:

    The electronic book Guide to Medical Image Analysis Methods and Algorithms by K. D. Toennies, publisher Springer, provides background material for the lectures. Extra teaching material will be provided to complement the material in the book.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Please participate the first lecture to catch the idea of the course.

    Teaching Period:

    (2020, 2021) - No teaching

    2021-2022 Autumn I-II

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=NBE-E4010

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof