Rudolph Pienaar, Dr. Eng
Technical Director
Fetal-Neonatal Neuroimaging and Developmental Science Center
Staff Scientist
Boston Children's Hospital
introduction
Technical Director
Lead software design efforts at improving computational research
- Software/cloud compute
- Portability of computation and data
- Algorithmic design
experience
15+ years in medical software R&D
- Image pre-processing
- Pulse Programming on Siemens MRI scanners
- Software for off-line rapid k-space inverse FFT
- Image post-processing
- DICOM data structures
- Mathematical analysis of reconstructed brain surfaces
- Systems architecture
- Pipeline design
- Visualization on the web
- Remote computation using containerization
experience (team)
- 10+ years experience in team leading
- Lead several small, agile software teams
- Project development cycle in 6 month periods
- Web-based visualization
- xtk
- ami
- Remote computation/coordination
- CHRIS
experience (team)
- 5+ years in industry/academia collaborative projects
- Cloud-based radiology
-
- Massachusetts Open Cloud
- GE Healthcare/cloud
- Image data to/from GE cloud
- Normative image comparison
- NVidia
- Academic research partner
- Hardware support for in-house cluster
- Academic research partner
experience (team)
5+ years in industry/acadmia collaborative projects
- GE
- Learning factory
- Coolidge.io
- IBM
- Partner with PowerAI tools and evaluation
- IBM Watson
- Nimbix Advanced HPC
- RedHat
- Lead developer with cloud-based scheduling and computation on open cloud
research and development
Lead Architect for software system development
- medical computational environments
- understanding data needs and constraints
- understanding computational requirements for medical settings
- clinical
- research
- Design systems to interface with home-grown AI pipelines
- Design systems to interface with industry
standard AI tools and pipelines
research and development
Design systems to interface with compute agnostic pipelines:
- Allow for rapid deployment of computational tools
- Use best tool for problem
- Standardized development process
- Web-based, cloud-based
- All data handled by system
- Powerful visualization libraries for input and
output data
research and development
Design systems to interface with AI pipelines:
- Predictive algorithms
- NIRS related ML and data mining
- Monte Carlo simulations of light propagation through brain tissue leveraging GPUs
- Prostate nerve image segmentation with University of Magdeburg using U-NN
research and development
- Design systems to interface with industry standard tools:
- Python-based tool chain and environment
- Use available and established data-science frameworks:
- tensorflow
- keras
- opencv-python
- pandas
- scikit-image
- etc
research and development
- GE Healthcare:
- Visualization for Radiology Workbench
- Interface with GE cloud for data storage
- Interface with GE AI tools:
- Learning Factory
- Route 66
- Coolidge
On going and deepening collaboration for systems development.
research and development
- Nvidia:
- Tensor-flow libraries
- Nvidia openlabs
Use of lower-level tools and libraries for specific neural-network training in image analysis tasks.
research and development
- IBM:
- PowerAI systems and software
- Collaboration on the Massachusetts Open Cloud
- Collaboration on the Massachusetts Open Cloud
- PowerAI systems and software
Use IBM available AI tools for object / scene recognition and develop framework to connect to medical data.
research and development
- RedHat, Inc:
- Collaboration on the Massachusetts Open Cloud
- Openstack / kubernetes
- Openswift
Develop backend opensource infrastructure to use framework on industry standard cloud systems.
medical compute... in the cloud
definite need for data mobility and centralization...
with compute being "free" to process data where-ever it might naturally collect...
CHRIS...
CHRIS is a bio-medical data workflow manage that allows easy and intuitive collection, analysis, and sharing of data between parties.
- allows for advanced view rendering
- allows for sharing of images
- allows for immersive real time collaboration
- allows for post-processing of images
many data sources... many compute sources...
via here
connect data here
to here...
and compute!
overview / goals
how do I run this on the cloud?
how do I run this on "someone else's computer"?
system topology
Main web server local data repository
remote compute nodes
data source (e.g. in hospital PACS)
UI concepts
UI concepts
UI concepts
Research and Development
- Novel platforms for connecting data to compute
- Develop and deploy systems with rapid turnover (6 - 9 month development cycle)
- Connect advanced imaging from cloud to bedside
- Build community around software development
- Considerable experience connecting leading research institutes with leading industry partners
University partnerships
Boston area computer science and engineering
Mentoring students on Cloud computing
Academic partner on the Massachusetts Open Cloud -- largest "open" cloud for general computation in the US
RedHat partnership
RedHat is active partner developing CHRIS infrastructure to the MOC
CHRIS as platform to help foster community and opensource development in the cloud using this paradigm
RedHat interested in helping use CHRIS to be a platform for "hack-a-thons" based on openswift, kubernetes, etc.
DL partnerships
GE Healthcare and cloud computing and GE deep learning products
IBM high performance computation and access to underlying engines/libraries
NVidia openlabs
MOC
references... ChRIS
-
https://github.com/FNNDSC/ChRIS_ultron_backEnd
-
https://github.com/FNNDSC/ChRIS_ultron_frontEnd
references... services
-
https://github.com/FNNDSC/viewerjs
-
https://github.com/FNNDSC/gcjs
-
https://github.com/FNNDSC/fmjs
-
https://github.com/FNNDSC/toolbarjs
-
https://github.com/FNNDSC/rboxjs
-
https://github.com/FNNDSC/rendererjs
-
https://github.com/FNNDSC/thbarjs
-
https://github.com/FNNDSC/pman
-
https://github.com/FNNDSC/pfioh
-
https://github.com/FNNDSC/pfcon
references... viewers
-
https://goxtk.com
-
https://github.com/FNNDSC/ami
team
- Jorge Bernal
- Nicolas Rannou
- Rudolph Pienaar
- Yangming Ou
- Daniel Haehn
- Daniel Ginsburg
- Ellen Grant
BCH Team
BU Team
- Orran Krieger
- Ata Turk
- Aditya Awalker
RedHat
- Dan McPherson
- and others!
fin!
Thank you!
Rudolph Pienaar, Dr. Eng Technical Director Fetal-Neonatal Neuroimaging and Developmental Science Center Staff Scientist Boston Children's Hospital
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By Rudolph Pienaar
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Quick intro / overview
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