Medical Diagnosis with Multimodal Image Fusion Techniques

Image Fusion is an effective approach utilized to draw out all the significant information from the source images, which supports experts in evaluation and quick decision making. Multi modal medical image fusion produces a composite fused image utilizing various sources to improve quality and extract complementary information. It is extremely challenging to gather every piece of information needed using just one imaging method. Therefore, images obtained from different modalities are fused Additional clinical information can be gleaned through the fusion of several types of medical image pairings. This study's main aim is to present a thorough review of medical image fusion techniques which also covers steps in fusion process, levels of fusion, various imaging modalities with their pros and cons, and  the major scientific difficulties encountered in the area of medical image fusion. This paper also summarizes the quality assessments fusion metrics. The various approaches used by image fusion algorithms that are presently available in the literature are classified into four broad categories i) Spatial fusion methods ii) Multiscale Decomposition based methods iii) Neural Network based methods and iv) Fuzzy Logic based methods. the benefits and pitfalls of the existing literature are explored and Future insights are suggested. Moreover, this study is anticipated to create a solid platform for the development of better fusion techniques in medical applications

Student Research Colloquium Proceedings 2009

2009 Student Research Colloquium proceedings include the following: a schedule of the day\u27s events, acknowledgement of research sponsors, the day\u27s program, conference presentation abstracts, student presenter index, research sponsor index, planning committee, poster and paper presentation judges, registration desk, sponsors, and donors, map of Atwood Memorial Center. Keynote address on greenhouse gases, global demand for energy, and tomrorow\u27s technology to address these issues given by Dr. Sean Garrick, Associate Professor, Department of Mechanical Engineering, University of Minnesota. Sustainability Panel Discussion panelists: Dr. Anthony Akubue, Professor, Environmental and Technological Studies, St. Cloud State University; Dr. Sean Garrick, Associate Professor, Mechanical Engineering, University of Minnesota; Valerie Knopp, Assistant Director of Financial Aid, Offices of Scholarships and Financial Aid, St Cloud State University; Teresa A. Lamo-Nelson, Doctoral Candidate, Higher Education Administration, St. Cloud State University; Angela Olson, Assistant Professor, Aviation, St. Cloud State University; Dr. Tracy E. Ore, Associate Professor/Coordinator, Sociology and Anthropology/St Cloud State University Community Garden, Dr. Mitch Bender (Moderator), Associate Professor, Environmental and Technological Studies, St Cloud State University