IEEE Croatia Section and IEEE Croatia Section Chapter of the Engineering in Medicine and Biology Society (EMBS) have a great pleasure to invite you to attend
two IEEE EMBS Distinguished Lecturers seminars by

Professor Rangaraj M. Rangayyan, IEEE Fellow
University of Calgary, Alberta, Canada
www.enel.ucalgary.ca/People/Ranga

  • Computer-Aided Diagnosis of Breast Cancer:
    Towards the Detection of Early and Subtle Signs


    Seminar will be held on Monday, 29 June 2009, 11 AM, Grey Hall of the Congress Center at the Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, Zagreb, Croatia. Time required is 2 hours.
    More information about seminar: abstract | speaker's biosketch
    Useful information: venue | hotels | contact
  • Three-dimensional Image Processing Techniques for Landmarking
    and Segmentation of Computed Tomographic Images


    Seminar will be held on Tuesday, 30 June 2009, 9 AM, Grey Hall of the Congress Center at the Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, Zagreb, Croatia. Time required is 3 hours.
    More information about seminar: abstract | speaker's biosketch
    Useful information: venue | hotels | contact

You are cordialy invited to attend both seminars free of charge.

Important: If you plan to attend, please kindly put your name, affiliation and select the seminars
of your interest on the Doodle poll: http://doodle.com/6vuv8kn8wv2ba6qz

These seminars are sponsored by IEEE EMBS Distinguished Lecturers Program, with the support of
IEEE Croatia Section and scientific project "Intelligent Image Features Extraction in Knowledge Discovery Systems".


Computer-Aided Diagnosis of Breast Cancer:
Towards the Detection of Early and Subtle Signs

Abstract: Mammograms are difficult images to interpret, especially in the screening context. Objective methods for the analysis of mammographic features facilitate the development of computer-aided procedures to assist radiologists in the evaluation of ambiguous cases. Quantitative representation of signs of breast cancer in mammograms for computer-aided diagnosis requires the design of descriptors to represent diagnostic features. This seminar will present an overview of several digital image processing techniques that we have developed over the past 20 years for the following applications:

  • Contrast enhancement
  • Detection of calcifications
  • Analysis of calcifications
  • Detection of masses and tumors
  • Shape analysis of tumors
  • Texture flow-field analysis of masses
  • Texture analysis of tumors
  • Detection of the skin-air boundary, pectoral muscle, and the fibro-glandular disc
  • Analysis of bilateral asymmetry
  • Detection of architectural distortion
  • Content-based image retrieval, pattern classification, and computer-aided diagnosis.

The seminar will present general descriptions and examples of the techniques listed above. Our latest work on the application of Gabor filters, phase portraits, and oriented texture analysis for the detection of architectural distortion will be described in detail.

Recommended books:

  • "Biomedical Image Analysis", R. M. Rangayyan, CRC Press, Boca Raton, FL, 2005. 1306 pages. www.crcpress.com
  • "Analysis of Oriented Texture and Detection of Architectural Distortion in Mammograms", Fábio J. Ayres, Rangaraj M. Rangayyan, and J.E. Leo Desautels, Morgan & Claypool, 2009. 150 pages. www.morganclaypool.com

Three-dimensional Image Processing Techniques for Landmarking
and Segmentation of Computed Tomographic Images

Abstract: Segmentation and landmarking of computed tomographic (CT) images are important and useful in computer-aided diagnosis (CAD), treatment planning, and objective analysis of normal as well as pathological regions. Identification and segmentation of organs and tissues in the presence of tumors are difficult. Automatic segmentation of the primary tumor mass in neuroblastoma could facilitate reproducible and objective analysis of the tumor’s tissue composition, shape, and size. However, due to the heterogeneous tissue composition of the tumor, ranging from low-attenuation necrosis to high-attenuation calcification, segmentation of the tumor mass is a challenging problem. In this context, methods will be described in this seminar for identification and segmentation of several abdominal and thoracic landmarks to assist in the segmentation of tumors in CT images.

Methods to identify and segment automatically the peripheral artifacts and tissues, the rib structure, the vertebral column, the spinal canal, the diaphragm, and the pelvic surface will be described. Techniques will also be presented to evaluate quantitatively the results of segmentation of the vertebral column, the spinal canal, the diaphragm, and the pelvic girdle by comparing with the results of independent manual segmentation performed by a radiologist. The use of the landmarks and removal of several tissues and organs could assist in limiting the scope of the tumor segmentation process to the abdomen, lead to the reduction of the false-positive error, and improve the result of segmentation of tumors.

Recommended books:

  • "Landmarking and Segmentation of 3D CT Images", S. Banik, R.M. Rangayyan, and G.S. Boag, Morgan & Claypool, 2009. 150 pages. www.morganclaypool.com
  • "Biomedical Image Analysis", Rangaraj M. Rangayyan, CRC Press, Boca Raton, FL, 2005. 1306 pages. www.crcpress.com

About the Speaker: Rangaraj M. Rangayyan is a Professor with the Department of Electrical and Computer Engineering, and an Adjunct Professor of Surgery and Radiology, at the University of Calgary, Calgary, Alberta, Canada. He received the Bachelor of Engineering degree in Electronics and Communication in 1976 from the University of Mysore at the People's Education Society College of Engineering, Mandya, Karnataka, India, and the Ph.D. degree in Electrical Engineering from the Indian Institute of Science, Bangalore, Karnataka, India, in 1980. His research interests are in the areas of digital signal and image processing, biomedical signal analysis, biomedical image analysis, and computer-aided diagnosis. He has published more than 130 papers in journals and 210 papers in proceedings of conferences.

His research productivity was recognized with the 1997 and 2001 Research Excellence Awards of the Department of Electrical and Computer Engineering, the 1997 Research Award of the Faculty of Engineering, and by appointment as a "University Professor" in 2003, at the University of Calgary. He is the author of two books: Biomedical Signal Analysis (IEEE/ Wiley, 2002) and Biomedical Image Analysis (CRC, 2005); he has coauthored and coedited several other books. He was recognized by the IEEE with the award of the Third Millennium Medal in 2000, and was elected as a Fellow of the IEEE in 2001, Fellow of the Engineering Institute of Canada in 2002, Fellow of the American Institute for Medical and Biological Engineering in 2003, Fellow of SPIE: the International Society for Optical Engineering in 2003, Fellow of the Society for Imaging Informatics in Medicine in 2007, and Fellow of the Canadian Medical and Biological Engineering Society in 2007. He has been awarded the Killam Resident Fellowship thrice (1998, 2002, and 2007) in support of his book-writing projects.

Rangaraj M. Rangayyan, PhD, PEng, FIEEE, FEIC, FAIMBE, FSPIE, FSIIM, FCMBES
"University Professor", Professor, Department of Electrical and Computer Engineering
Schulich School of Engineering, (Adjunct Professor of Surgery and Radiology)
University of Calgary, 2500 University Drive N.W., Calgary, Alberta, Canada T2N 1N4
Phone: +1 (403) 220-6745, Fax: +1 (403) 282-6855, e-mail: ranga--ucalgary.ca
Web: www.enel.ucalgary.ca/People/Ranga



USEFUL INFORMATION

VENUE

Seminars will take place in Zagreb, the capital of Croatia, situated at the foot of the Medvednica Mountain on the banks of the river Sava. An ancient city of approximately one million inhabitants, Zagreb is located in the very heart of Europe, on the border between the Mediterranean, Central Europe and the European Southeast. As well as being the administrative and political centre of Croatia, it is also the cultural and scientific centre, with the Academy of Arts and Sciences (founded in 1861), the university (founded in 1669), the Institute of Nuclear Physics, an astronomy observatory as well as fine museums and art galleries.

Both seminars will be held at the Faculty of Electrical Engineering and Computing (FER) of the University of Zagreb. FER is located 10 min walking from the main railway station, and 25 minutes of easy walking from main square Trg bana Josipa Jelacica ("Jelacic plac"). There is a large parking lot in front of the building. Tram lines 3, 5 and 13 are close to the Faculty building. Tram line 13 will take you to the main square.

Please follow this link to see the city map and location of FER.

HOTELS

  • Hotel International - Link
    (closest to FER - 2 minutes walking distance)

  • The Regent Esplanade Zagreb - Link
    (15 minutes walking distance)

  • The Westin Zagreb - Link
    (15 minutes walking distance)

  • Palace Hotel Zagreb - Link
    (20 minutes walking distance; in the city center)

  • Hotel Dubrovnik - Link
    (25 minutes walking distance; in the heart of Zagreb)

CONTACT INFORMATION

If you need any help please do not hesitate to contact the organizer:

Prof. Mislav Grgic
FER, Unska 3 / XII
HR-10000 Zagreb
CROATIA