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The Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems Overview of Image and Data Information Management R3-Thrust David Kaeli, NU This.

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Presentation on theme: "The Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems Overview of Image and Data Information Management R3-Thrust David Kaeli, NU This."— Presentation transcript:

1 The Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems Overview of Image and Data Information Management R3-Thrust David Kaeli, NU This work was supported by in part by the Gordon Center for Subsurface Sensing and Imaging Systems, under the Engineering Research Centers Program of the National Science Foundation (Award # EEC ).

2 CenSSIS Image and Data Information Management  Addressing key research barriers in computational efficiency, embedded computing and image/sensor data management  Exploiting hardware/software acceleration/parallelization and Grid resources to enable new discovery in SSI applications  Producing an image/data repository and software- engineered Subsurface Sensing and Imaging Toolsets  Developing enabling tools targeting system-level projects Near real-time reconstruction and visualization FPGA-based phase unwrapping and registration  Addressing key research barriers in computational efficiency, embedded computing and image/sensor data management  Exploiting hardware/software acceleration/parallelization and Grid resources to enable new discovery in SSI applications  Producing an image/data repository and software- engineered Subsurface Sensing and Imaging Toolsets  Developing enabling tools targeting system-level projects Near real-time reconstruction and visualization FPGA-based phase unwrapping and registration MVT

3 R1 R2 System Level Impact of R3 Activities Fundamental Science Validating TestBEDs L1 L2 L3 R3 Image and Data Information Management S1 S4 S5 S3 S2 Bio-MedEnviro-Civil

4 R3 Researchers Faculty/Staff  George Chen – MGH  James Hale – Spelman  Shawn Hunt - UPRM  David Kaeli - NU  Miriam Leeser – NU  Steve Jiang – MGH  Luis Jimenez - UPRM  Waleed Meleis - NU  Wilson Rivera - UPRM  Samuel Rosario – UPRM  Nayda Santiago – UPRM  Greg Sharp - MGH  Charles Steward – RPI  Miguel Velez - UPRM  Furong Yang – NU Faculty/Staff  George Chen – MGH  James Hale – Spelman  Shawn Hunt - UPRM  David Kaeli - NU  Miriam Leeser – NU  Steve Jiang – MGH  Luis Jimenez - UPRM  Waleed Meleis - NU  Wilson Rivera - UPRM  Samuel Rosario – UPRM  Nayda Santiago – UPRM  Greg Sharp - MGH  Charles Steward – RPI  Miguel Velez - UPRM  Furong Yang – NU Graduate students  Malak Alshawabkeh – NU  Fatemeh Azmandian - NU  Burak Erem – NU  Carolina Gerardino – UPRM  Evangelous Kanoulos - NU  Avi Kelman - RPI  Diego Rivera – NU  Maria E. Sanchez-Castro - UPRM  Dana Schaa – NU  Alejandra Umana - UPRM  Yijian Wang – NU  Gehua Yang - RPI Jaime  Yeckle – UPRM  Juemin Zhang - NU Graduate students  Malak Alshawabkeh – NU  Fatemeh Azmandian - NU  Burak Erem – NU  Carolina Gerardino – UPRM  Evangelous Kanoulos - NU  Avi Kelman - RPI  Diego Rivera – NU  Maria E. Sanchez-Castro - UPRM  Dana Schaa – NU  Alejandra Umana - UPRM  Yijian Wang – NU  Gehua Yang - RPI Jaime  Yeckle – UPRM  Juemin Zhang - NU

5 R3 Researchers Undergraduate students  Carolyn Andrews - NU  Kelli Crosby – NU  Nicholas Dedual - NU  Danielle Edwards – Spelman  Buffy Johnson - Spelman  Rafal Norton - NU  Jason Selwyn – NU Undergraduate students  Carolyn Andrews - NU  Kelli Crosby – NU  Nicholas Dedual - NU  Danielle Edwards – Spelman  Buffy Johnson - Spelman  Rafal Norton - NU  Jason Selwyn – NU

6 Goals for Year 7  Focus on sustainability - Won sustaining proposals, developed new industrial ties, submitted new proposals  NSF STTR, NSF MRI, NSF IGERT,NIH, industry  Continued support of existing software toolboxes and new toolbox development  Integrated 4-D visualization and image tagging (Northeastern and Spelman)  Support of the SSI textbook effort with complementing tools  Expanded work on existing CenSSIS R3 projects  Grid Computing – Load balancing - funded by MGH for yrs. 6 and 7  Hyperspectral Image Analysis – Acceleration/semi-automatic parallelization  FPGA acceleration – QR Decomposition and phase unwrap  Increased utility of the image database (additional images and users)  Provided image database user classes  Continued collaboration with the S2 group on tumor tracking  Focus on sustainability - Won sustaining proposals, developed new industrial ties, submitted new proposals  NSF STTR, NSF MRI, NSF IGERT,NIH, industry  Continued support of existing software toolboxes and new toolbox development  Integrated 4-D visualization and image tagging (Northeastern and Spelman)  Support of the SSI textbook effort with complementing tools  Expanded work on existing CenSSIS R3 projects  Grid Computing – Load balancing - funded by MGH for yrs. 6 and 7  Hyperspectral Image Analysis – Acceleration/semi-automatic parallelization  FPGA acceleration – QR Decomposition and phase unwrap  Increased utility of the image database (additional images and users)  Provided image database user classes  Continued collaboration with the S2 group on tumor tracking Toolboxes

7 Sustainability Project Posters  NSF STTR on automatic parallelization of high level languages with Interactive Supercomputing Corp.  Poster R3B P5 - "Semi-Automated Parallelization Using Star-P"  Utilizing CenSSIS applications to evaluate/demonstrate the efficiency of these tools  NSF affiliated project on acceleration of sparse matrix problems  Poster R3B P1 - "Characterizing the Relationship Between ILU- Type Preconditioners and the Storage Hierarchy"  New projects on utilizing GPU technology to accelerate image reconstruction – Submitted IGERT and talking to AMD/ATI and NVIDIA  Poster R3B P2 - "Digital Tomosynthesis Mammography Parallelization Using Graphics Processors“  Poster R3A P4 – "Fast and Parallel Implementation of Image Processing Algorithm Using CUDA”  NSF STTR on automatic parallelization of high level languages with Interactive Supercomputing Corp.  Poster R3B P5 - "Semi-Automated Parallelization Using Star-P"  Utilizing CenSSIS applications to evaluate/demonstrate the efficiency of these tools  NSF affiliated project on acceleration of sparse matrix problems  Poster R3B P1 - "Characterizing the Relationship Between ILU- Type Preconditioners and the Storage Hierarchy"  New projects on utilizing GPU technology to accelerate image reconstruction – Submitted IGERT and talking to AMD/ATI and NVIDIA  Poster R3B P2 - "Digital Tomosynthesis Mammography Parallelization Using Graphics Processors“  Poster R3A P4 – "Fast and Parallel Implementation of Image Processing Algorithm Using CUDA”

8 CenSSIS Toolbox Posters  Multiview Tomography Toolbox (MVT)  C++ fddlib: January 2003 (v. 1.0)  July 2003 (v. 1.1)  MATLAB mvt: October 2004  164 downloads of these tools in the past 2 years  Being used in the SSI Textbook and NSF STTR project  Poster R3B P5 - "Semi-Automated Parallelization Using Star-P"  Rensselaer Generalized Registration Library (RGRL)  Released September 2004  Effort has spawned a startup company  Poster R2D P5 - "New Applications and Enhancements in the Theory of the GDB - ICP Registration Algorithm"  Hyperspectral Image Analysis Toolbox (HIAT)  749 downloads in past 3 years  The range of algorithms included in the toolbox have been funded by NASA, DoD, ARMY, and NSF  New work highlighted in poster:  Poster R3B P6 - "New Developments and Application of the MATLAB Hyperspectral Image Analysis Toolbox"  Multiview Tomography Toolbox (MVT)  C++ fddlib: January 2003 (v. 1.0)  July 2003 (v. 1.1)  MATLAB mvt: October 2004  164 downloads of these tools in the past 2 years  Being used in the SSI Textbook and NSF STTR project  Poster R3B P5 - "Semi-Automated Parallelization Using Star-P"  Rensselaer Generalized Registration Library (RGRL)  Released September 2004  Effort has spawned a startup company  Poster R2D P5 - "New Applications and Enhancements in the Theory of the GDB - ICP Registration Algorithm"  Hyperspectral Image Analysis Toolbox (HIAT)  749 downloads in past 3 years  The range of algorithms included in the toolbox have been funded by NASA, DoD, ARMY, and NSF  New work highlighted in poster:  Poster R3B P6 - "New Developments and Application of the MATLAB Hyperspectral Image Analysis Toolbox" HIAT MVT RGRL

9 The Image Tagging Interface A 2-D X-ray image is read, and then notes are entered into the radiologist’s report

10 The Image Tagging Interface Instead, a 3-D image can be annotated by the radiologist with searchable tags, so the notes can be integrated with the image in a relational database system. Poster R3B P4 - "Online Image Tagging System"

11 4-D Radiotheraphy – 3D + Time  New visualization tools to allow physicians to rapidly segment and identify regions of interest in 3D or 4D  Leverages SCI-Run (Univ. of Utah) – a visual programming problem solving environment  The total time for treatment planning can be reduced by allowing more efficient analysis of size, shape, and movement of tumors  Present work focuses on enabling accurate physical measurements in our visualization environment  New visualization tools to allow physicians to rapidly segment and identify regions of interest in 3D or 4D  Leverages SCI-Run (Univ. of Utah) – a visual programming problem solving environment  The total time for treatment planning can be reduced by allowing more efficient analysis of size, shape, and movement of tumors  Present work focuses on enabling accurate physical measurements in our visualization environment Poster R3B P3 - "Development of Visualization Tools for 4D CT Datasets"

12 Parallelization and Acceleration  Parallelization work at NU and UPRM is focused on developing a general set of Grid level tools  Tomosynthesis and classification are being used as the proof-of- concept applications  Tomosynthesis reconstruction paper in Proc. of the 2006 IEEE International Conference on Parallel and Distributed Computing, coauthored by NU/MGH  FPGAs are being used at NU to provide real-time processing closer to the sensor  Discrete Cosine Transform acceleration with the S1 project to accelerate phase unwrapping  Floating point division and square root based on Taylor series for the variable precision floating point library  Parallelization work at NU and UPRM is focused on developing a general set of Grid level tools  Tomosynthesis and classification are being used as the proof-of- concept applications  Tomosynthesis reconstruction paper in Proc. of the 2006 IEEE International Conference on Parallel and Distributed Computing, coauthored by NU/MGH  FPGAs are being used at NU to provide real-time processing closer to the sensor  Discrete Cosine Transform acceleration with the S1 project to accelerate phase unwrapping  Floating point division and square root based on Taylor series for the variable precision floating point library Poster R3A P3 – “Design of Workflow Scheduler" Poster R3A P5 - "Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral Ecosystems” Poster R3A P2 - "Phase Unwrapping Using Reconfigurable Hardware" Poster R3A P1 – “Floating-Point Divide and Square Root for Efficient FPGA Implementation of Image and Signal Processing Algorithms"

13 CenSSIS Image Database System Poster R3B – P7 "The CenSSIS Web-Accessible Image Database System" Over 17,000 image files online Offered 3 online classes to the CenSSIS research community

14 Impact on System Level Projects R3 ProjectS ProjectImpact Parallel/Grid/GPU Processing Accelerating tomosynthesis reconstruction < 5 minutes on a $500 platform Hyperspectral toolbox Accelerating HIAT code by more than 25X – reducing parallel programming time by 10X Image database Developing customized database interfaces to facilitate rapid data entry 4-D visualization Improving radiation treatment planning S3 S4 S1 S2


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