fusion of multi modality volumetric medical imagery l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Fusion of Multi-Modality Volumetric Medical Imagery PowerPoint Presentation
Download Presentation
Fusion of Multi-Modality Volumetric Medical Imagery

Loading in 2 Seconds...

play fullscreen
1 / 15

Fusion of Multi-Modality Volumetric Medical Imagery - PowerPoint PPT Presentation


  • 485 Views
  • Uploaded on

Fusion of Multi-Modality Volumetric Medical Imagery Mario Aguilar and Joshua R. New Knowledge Systems Laboratory MCIS Department Jacksonville State University Jacksonville, AL 36265 Outline What is the neurophysiological motivation of the fusion architecture?

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Fusion of Multi-Modality Volumetric Medical Imagery' - Audrey


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
fusion of multi modality volumetric medical imagery

Fusion of Multi-Modality Volumetric Medical Imagery

Mario Aguilar and Joshua R. New

Knowledge Systems Laboratory

MCIS Department

Jacksonville State University

Jacksonville, AL 36265

outline
Outline
  • What is the neurophysiological motivation of the fusion architecture?
  • How is fusion extended to a three-dimensional operator?
  • How is this operator applied to volumetric data sets?
  • What are the results?
2d image fusion example

GAD

PD

Color Fuse Result

SPECT

T2

2D Image Fusion Example
extensions to 3d

-

+

2D Shunt Operator Symbol

3D Shunt Operator Symbol

Extensions to 3D

Where:

A – decay rate

B – maximum activation level (set to 1)

D – minimum activation level (set to 1)

IC – excitatory input

IS – lateral inhibitory input

C, Gc and Gs are as follows:

Where:

A – decay rate

B – maximum activation level (set to 1)

D – minimum activation level (set to 1)

IC – excitatory input

IS – lateral inhibitory input

C and Gs are as follows:

2D Fusion

3D Fusion

3d fusion architecture

T1

Images

Color

Remap

T2

Images

Color Fuse Result

3D Fusion Architecture

R

G

B

Noise cleaning &

registration if needed

Contrast

Enhancement

Between-band Fusion

and Decorrelation

3d shunt results
3D Shunt Results

Original 2D Shunt 3D Shunt

3d fusion results
3D Fusion Results
  • 3D Explorer Views – 3D vs. 2D shunt
conclusions
Conclusions
  • Development of the 3D shunting operator is a natural extension of the 2D operator
  • Application of the 3D shunting operator provides better definition of image details in volumetric data sets
  • 3D fusion extensions developed in the context of Med-LIFE, a visualization and pattern recognition tool.
slide13

-

+

2D Shunt Operator Symbol

3D Shunt Operator Symbol

FUSION SYSTEM EXTENSION

2D Fusion

3D Fusion

Shunting Neural Network Equation:

Shunting Neural Network Equation:

Where:

A – decay rate

B – maximum activation level (set to 1)

D – minimum activation level (set to 1)

IC – excitatory input

IS – lateral inhibitory input

C, Gc and Gs are as follows:

Where:

A – decay rate

B – maximum activation level (set to 1)

D – minimum activation level (set to 1)

IC – excitatory input

IS – lateral inhibitory input

C and Gs are as follows:

slide14

Results

Original 2D Shunt 3D Shunt

acknowledgements
Acknowledgements

This work was supported by a Faculty Research Grant awarded to the first author by the faculty research committee and Jacksonville State University. Opinions, interpretations, and conclusions are those of the authors and not necessarily endorsed by the committee or Jacksonville State University.

For additional information, please visithttp://ksl.jsu.edu.