The document discusses a project to analyze resting-state functional magnetic resonance imaging (RS-fMRI) data using independent component analysis (ICA) to identify and monitor alterations in brain functional connectivity related to neurodegenerative diseases and attention deficit disorders. It outlines the project's key performance indicators, management plan, main challenges, SWOT analysis, and contingency plan ("B Plan"). The goal is to optimize the ICA algorithm and deploy a cloud-based service for researchers and clinicians to process RS-fMRI data in real-time.

1. Filippo Carloni: filippo.carloni@mail.polimi.it
Giada Casagrande: giada.casagrande@mail.polimi.it
Valentina Corbetta: valentina.corbetta@mail.polimi.it
11th May 2018
XOHW18 Meeting @NECSTLab
KPI and Management + B Plan
FastBRaIn

2. Resting-State Networks (RSNs)
analysis to identify
and monitor alterations
in Brain Functional Connectivity
Context Definition
Neurodegenerative Diseases
and Attention Deficit Disorders
2

3. Our Project
6
RS-fMRI
(Resting-State functional Magnetic
Resonance Imaging)
Data analysis using ICA
(Independent Component Analysis)
method

4. KPI
Speed of Data Analysis to get
Real-Time Image Processing
Cloud Service for
Researchers and Clinicians
3

5. Management
Design Optimization
Assessment and First Attempt
on Local Board
Further Design Optimization
and Assessment
On Local Board
AWS
Performance Analysis
Drafting the Report
4
11th May 2018
Week1
Week3
Week4
Week2
Week5
Week6
Week7
XOHW

6. Main Challenges
Hardware optimization of specific
steps of the algorithm
Data Transfer to AWS:
Time and Cost
5

7. Swot
User Friendliness
Execution Time
Gift:
Execution Time: 8 min
FSL[1]
Execution Time: 20 min
FastBRaIn

8. B Plan
The Best Possible
Optimization
on AWS is achieved
Nothing works
Not the Best Possible
Optimization
on AWS is achieved
Optimization on
AWS is not achieved:
Only Local Implementation
on FPGA
6

9. FastBRaIn
Thank you for your attention
FastBrainatNECST
FastBRaIn_NECST
Filippo Carloni: filippo.carloni@mail.polimi.it
Giada Casagrande: giada.casagrande@mail.polimi.it
Valentina Corbetta: valentina.corbetta@mail.polimi.it