CP7021 MEDICAL IMAGE PROCESSING SYLLABUS 3RD SEM ME CSE SYLLABUS REG-2013

ANNA UNIVERSITY, CHENNAI

REGULATIONS - 2013
CP7021 MEDICAL IMAGE PROCESSING SYLLABUS

ME 3RD SEM COMPUTER SCIENCE AND ENGINEERING SYLLABUS

CP7021 MEDICAL IMAGE PROCESSING SYLLABUS

DESCRIPTION:

An advanced graduate level course on medical imaging and medical image analysis. The course includes topics in medical image formation, medical imaging techniques, such as X-Ray, Computed Tomography, Magnetic Resonance Imaging, and Nuclear Imaging, image segmentation, registration, statistical modeling, visualization, and applications of computational tools for medicine.

OBJECTIVES:

The course will provide the participants with an up-to-date background in current state-of-the-art in medical imaging and medical image analysis. The aim of the course is to show how to extract, model, and analyze information from medical data and applications in order to help diagnosis, treatment and monitoring of diseases through computer science.

UNIT I INTRODUCTION

Introduction to medical imaging technology, systems, and modalities. Brief history; importance; applications; trends; challenges. Medical Image Formation Principles: X-Ray physics; X-Ray generation, attenuation, scattering; dose Basic principles of CT; reconstruction methods; artifacts; CT hardware.

UNIT II STORAGE AND PROCESSING

Medical Image Storage, Archiving and Communication Systems and Formats Picture archiving and communication system (PACS); Formats: DICOM Radiology Information Systems (RIS) and Hospital Information Systems (HIS). Medical Image Processing, Enhancement, Filtering Basic image processing algorithms Thresholding; contrast enhancement; SNR characteristics; filtering; histogram modeling.

UNIT III VISUALIZATION

Medical Image Visualization Fundamentals of visualization; surface and volume rendering/visualization; animation; interaction. Magnetic Resonance Imaging (MRI) Mathematics of MR; spin physics; NMR spectroscopy; imaging principles and hardware; image artifacts.

UNIT IV SEGMENTATION AND CLASSIFICATION

Medical Image Segmentation - Histogram-based methods; Region growing and watersheds; Markov Random Field models; active contours; model-based segmentation. Multi-scale segmentation; semi-automated methods; clustering-based methods; classification-based methods; atlas-guided approaches; multi-model segmentation. Medical Image Registration Intensity-based methods; cost functions; optimization techniques.

UNIT V NUCLEAR IMAGING

PET and SPECT Ultrasound Imaging methods; mathematical principles; resolution; noise effect; 3D imaging; positron emission tomography; single photon emission tomography; ultrasound imaging; applications. Medical Image Search and Retrieval Current technology in medical image search, content-based image retrieval, new trends: ontologies. Applications. Other Applications of Medical Imaging Validation, Image Guided Surgery, Image Guided Therapy, Computer Aided Diagnosis/Diagnostic Support Systems.

TOTAL: 45 PERIODS

REFERENCES:

1. Paul Suetens, "Fundamentals of Medical Imaging", Second Edition, Cambridge University

Press, 2009.

2. J. Michael Fitzpatrick and Milan Sonka, "Handbook of Medical Imaging, Volume 2. Medical Image Processing and Analysis", SPIE Publications, 2009.

3. Kayvan Najarian and Robert Splinter, "Biomedical Signal and Image Processing", Second Edition, CRC Press, 2005.

4. Geoff Dougherty, "Digital Image Processing for Medical Applications", First Edition, Cambridge University Press, 2009.

5. Jerry L. Prince and Jonathan Links, "Medical Imaging Signals and Systems", First Edition,

Prentice Hall, 2005.

6. John L. Semmlow, "Biosignal and Medical Image Processing", Second Edition, CRC Press, 2008.