3D to 2D Human Heart Transformation

By Kelly Nguyen
Slide 1: Title slide for 3D to 2D Human Heart Transformation presentation by Kelly Nguyen

Slide-1

3D to 2D Human Heart Transformation

Kelly Nguyen

Slide 2: Introduction slide for Kelly Nguyen, Biotechnology student conducting research under Dr. Ghoraani

Slide-2

KELLY NGUYEN

  • Biotechnology, Design and Society Major
  • I-SENSE REU
  • Conducting research under Dr. Ghoraani
Slide 3: Atrial fibrillation background explaining heart arrhythmia, stroke risk, and need for accurate 2D heart maps

Slide-3

ATRIAL FIBRILLATION

  • Type of heart arrhythmia
  • Increases chance of stroke up to five times
  • Catheter treatments locate the source of AF
  • Accurate 2D maps of the heart are needed for the treatments
Slide 4: Transformation process explanation of Caroline Roney's method using mesh model and fast marching algorithm

Slide-4

TRANSFORMATION PROCESS

Process of Caroline Roney

  • Utilizes mesh model
  • Fast marching algorithm
  • Sammon multidimensional method
Slide 5: Description of their binary volume and mesh data processes including challenges with resolution and boundaries

Slide-5

OUR PROCESS

Binary volume data process

  • High resolution binary data means higher accuracy
  • Perform fast marching algorithm
  • Use built in MATLAB mdscale with Sammon

Challenges

  • Resolution of data
  • Defining the boundaries for mdscale
Slide 6: Mesh data process

Slide-6

Mesh data process

  • Create a mesh from existing heart data
  • Perform cuts along the mesh to define boundaries
  • Perform fast marching algorithm
  • Mdscale with Sammon criterion
Slide 7: Cylinder model visualization showing 3D cylindrical representation used in the transformation process

Slide-7

CYLINDER MODEL

3D cylindrical model representation used as a test case for the transformation algorithm development and validation.

Slide 8: Cylinder model results showing the 2D transformation output of the cylindrical test case

Slide-8

CYLINDER MODEL

Results of the 3D to 2D transformation applied to the cylinder model, demonstrating the algorithm's ability to map three-dimensional structures to two-dimensional representations.

Slide 9: Heart model visualization showing 3D heart structure used for the actual transformation process

Slide-9

HEART MODEL

3D heart model representation showing the complex cardiac structure that needs to be transformed into a 2D map for atrial fibrillation catheter treatment guidance.

Slide 10: Heart model results showing the 2D transformation output of the human heart structure

Slide-10

HEART MODEL

Results of the 3D to 2D heart transformation, showing how the complex three-dimensional cardiac structure is mapped to a two-dimensional representation suitable for medical procedures.

Slide 11: Future work slide describing application of 2D heart maps toward catheter guiding algorithms

Slide-11

FUTURE WORK

  • Applying the 2D map of the heart towards catheter guiding algorithms
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For a downloadable version of this presentation, email: I-SENSE@FAU.

Additional Information
The Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) was established in early 2015 to coordinate university-wide activities in the Sensing and Smart Systems pillar of FAU’s Strategic Plan for the Race to Excellence.
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