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MURI Program: Image Analysis of Vocal Tracts

DUE is home to IEL and the CRL which is administering the Multidisciplinary Undergraduate Research Institute (MURI) both in the academic year and the summer, which creates and supports multidisciplinary research teams consisting of undergraduate and graduate students, postdoctoral fellows, senior staff and faculty. The primary purpose of these teams is to provide undergraduates a unique opportunity to gain research skills by working with mentors on real world problems.

Overview of department:

The Department of Mechanical and Energy Engineering offers high quality education and research opportunities to help prepare students for the professional world. The mission of the department is to provide with the best educational and research curriculum possible, giving the tools and knowledge needed to succeed in the field of Mechanical and Energy Engineering. One of the fundamental – and most diverse – engineering disciplines, mechanical and energy engineering equips men and women to make a difference on the smallest micro-scale level, as well as in large, complex systems. Each day, mechanical engineering principles are used in the conception, design, development, and manufacture of almost every product or process known to man.

Project summary:

DICOM image processing of human vocal tracts and compare the morphological differences with different breathing ways.

This project involves three types of position:
  1. Laboratory experimental measurement of blood pressure in human arteries anatomically extracted from medical images such as CT and MRI.
  2. Computational modeling and simulation of blood flow in human vessels anatomically extracted from medical images such as CT and MRI.
  3. Numerical experiment: an existing discrete dynamic system (DDS) has been derived with four bifurcation parameters.

Specific tasks that the MURI student will complete: 

  1. Image segmentation from MRI DICOMM data using 3D Slicer or other software for 10+ human cases.
  2. Analyze the morphological features of the vocal tracts with different breathing styles.

Specific qualifications (knowledge, skills, class standing, etc) we desire the MURI candidate to have:

  • Human airway anatomy
  • image processing using software such as Mimics, 3D Slicer, and so on.

Learning objectives as outlined in the IUPUI Profiles of Undergraduate learning:
By the end of this position assignment, the student will meet the following learning objectives

  1. Innovator: First-hand experiences on image segmentation from MRI DICOM data.
  2. Communicator: Co-author of journal and/or conference papers if the results are used.