Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease

Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease

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Product Code: Matlab - Medical Imaging
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Product Description

Abstract:

          Parkinson’s disease (PD) is a neurodegenerative disease histo-pathologically characterized by neuronal loss, Lewy bodies, and depigmentation of two paired neuromelanin (NM) rich brainstem structures: the substantial nigra pars compacta (SNc) and the locus coeruleus (LC). In spite of the aforementioned cellular hallmarks, the clinical diagnosis of PD still relies on the identification of motor symptoms that appear at a late clinical stage, when there is already significant cell loss in the SNc and LC.

          To quantify these differences, early methods were based on visual inspection, or manual contour drawing, followed by quantification of the volume and/or the intensity of NM-rich structures on neuromelanin-sensitive T1-weighted images. The quantification results obtained with our dynamic atlas to train an Artificial Neural Network in the task of classifying healthy and PD patients based on the quantification of their NMRS in NM MRI images of their brains. In this proposed system the MRI brain images is given as input. Then the active contour segmentation method is used in order to detect the affected portion of Parkinson disease. The detected tumor part is trained by Faster Convolution neural network and finally 3d segmented structure is obtained.


Proposed System:

          In this proposed system the MRI brain images is given as input. Then the active contour segmentation method is used in order to detect the affected portion of Parkinson disease. Multi image atlas segmentation offers superior segmentation accuracy over single atlas and model-based average representations, at a high computational cost. The detected tumor part is trained by Faster Convolution neural network and finally 3d segmented structure is obtained.


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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.