FPGA Implementation of Medical Image Fusion using Spartan3 FPGA Image Processing Kit

10,000.00

This Project implements FPGA Based Image fusion technique to analyze Medical images to diagnose various diseases. For medical diagnosis, Computed Tomography (CT) provides the best information on denser tissue with less distortion. Magnetic Resonance Image (MRI) provides better information on soft tissue with more distortion. With different types equipment output medical images in clinical applications, the idea of combining images from different equipment become very important .The experiments show that the method could extract useful information from combined images so that clear images are obtained. MATLAB is used to convert images into pixel-format files and to observe simulation results. To implement this paper XPS & VB are needed. In Xilinx Platform Studio, first select hardware & software components then by adding source and header files & converting into bit streams and download into Spartan3 FPGA Image Processing Kit, to obtain fused image.

Package Includes:

  • Complete Hardware Kit

  • Demo Video-Embedded Below

  • Abstract

  • Reference Paper

  • !!! Online Support !!!

100 in stock

SKU: Medical Image Fusion using SP3 Categories: ,

Description

Abstract

This Project implements FPGA Based Image fusion technique to analyze Medical images to diagnose various diseases. For medical diagnosis, Computed Tomography (CT) provides the best information on denser tissue with less distortion. Magnetic Resonance Image (MRI) provides better information on soft tissue with more distortion. With different types equipment output medical images in clinical applications, the idea of combining images from different equipment become very important .The experiments show that the method could extract useful information from combined images so that clear images are obtained. MATLAB is used to convert images into pixel-format files and to observe simulation results. To implement this paper XPS & VB are needed. In Xilinx Platform Studio, first select hardware & software components then by adding source and header files & converting into bit streams and download into Spartan3 FPGA Image Processing Kit, to obtain fused image.

Demonstration Video

 

Tool required

Software:

  • Xilinx ISE 10.1i or above
  • Xilinx EDK 10.1i or above
  • VB GUI to display output

Language:

  • VHDL, System C

Hardware:

Block Diagram for Medical Image Fusion using Spartan3 FPGA Image Processing Kit

Blg_dgm_Medical_Image_Fusion

Introduction:

Fusion steps based on wavelet transform can be summarized

  • First register the input images (I1 and I2), which are going to be fused and corresponding pixels are aligned.
  • The Registered input images are decomposed into wavelet transformed images respectively, based on discrete wavelet transformation (W). The transformed images with
  • K -level decomposition will include one low-frequency portion (LL band) and high-frequency portions (LH bands, HL bands and HH bands).
  • The Transform coefficients of different portions are performed with a certain fusion rule.
  • Then by applying performing an inverse wavelet transform (W-1) based on the combined transform coefficients, the fused image (I) is constructed.

Implementation Process

The implementation steps of the image fusion using DWT is done as follows. MATLAB is used to convert input images into header files using GUI feature. Xilinx Platform Studio (XPS) is a part of an EDK system and it includes the XPS-GUI and all tools run by the GUI to process hardware & software components within XPS. Spartan3 FPGA Image Processing Kit hardware is chosen because of it has some advantages like reconfigurability, low power dissipation, small size. The flowchart for the implementation of image fusion using discrete wavelet transforms.

Arc_dgm_Medical_Image_Fusion

Medical Image Fusion Output Image

           

 

Medical Image Fusion Output Image

                     Medical Image Fusion Output Image

 

Medical Image Fusion Output Image

 

Medical Image Fusion Output Image

 

Medical Image Fusion Output Image

 

Medical Image Fusion Output Image

 

Medical Image Fusion Output Image

 

Implementation Results

The implementation process can be done with the use of XPS, VB software & Spartan3 FPGA Image Processing Kit. After converting the input images into header files and then the DWT, IDWT and fusion codes added in the source files. By selecting Hardware & Software architectures and adding source, header files. Then generate net-lists and bit streams for the specified file, then convert it into bit-streams and download into Spartan3 FPGA Image Processing Kit and view the output by using Visual Basic (VB).

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