is-4003, a cloud based medical imaging platform using apu, by kovey kovalan

VOXCELL® -‐ SUPERCOMPUTING CLOUD MEDICAL IMAGING PLATFORM USING GPU/APU

KOVEY KOVALAN & SANKET GAJJAR KJAYA MEDICAL

BUSINESS CASE: Opportunity to

Improve PaDent Care

3 | PRESENTATION TITLE | November 22, 2013 | CONFIDENTIAL

OPPORTUNITY TO IMPROVE PATIENT CARE

! US spends $100B on 520,500,000 medical scans ! $3.5B on soTware ‒ RIS CVIS PACS ! $1.8B in 2010 ! 3.5% CAGR

‒ Image Analysis ! $1.7B in 2012 ! 7.1% CAGR

! Why Scan? ! early detecDon ! survive ‒ e.g. 13M cancer paDents alive in 2012

! 30,000 radiologists ! 10 minutes/scan ! limits diagnosDc outcome

! Survival rate could be increased through Dmely physicians and paDent interacDon

! Physicians and paDents need enhanced visualizaDons, computer aided diagnosis, and social media

! KJAYA Medical has a soluDon

MEDICAL IMAGING MARKET


MEDICAL IMAGE MANAGEMENT IS CURRENTLY ON PREMISES PICTURE ARCHIVING AND COMMUNICATION SYSTEMS (PACS)

Onsite PACS

Specialized WorkstaDon

Film Warehouse Digital Warehouse


CROWDED MARKET – OLDER TECHNOLOGY CURRENT PACS MARKET IS FRAGMENTED

Onsite PACS

Cloud Social Media

Blue Ocean Markets

Current Technology

Third GeneraDon PACS Technology


CURRENT CLOUD PACS MARKET -‐ LESS THAN 1% FOCUSED ON NON-‐DIAGNOSTIC USE OF IMAGE SHARING AND OFFSITE BACKUP

81% Onsite

13% 3% 2% 1% Cloud

Current Cloud accounts about 1% of the market •  $56m in 2010 expected to grow 27% CAGR to 2018

•  Mostly in archival and image sharing

•  Third generaDon PACS on cloud in its infancy

Challenges for cloud PACS •  Access speeds •  DiagnosDc quality •  Tools to manipulate data in real Dme


PACS FUTURE ENTERPRISE IMAGING CLOUD

Onsite PACS

Current RIS/PACS • 91% penetraDon • 52% older than 5 years • 21% plan to replace in 12 months

Cardiology : 60% have no PACS Pathology: 90% have no PACS

Cloud based Enterprise PACS

Third generaMon PACS requirements • Enterprise PACS – PaDent centered, mulD-‐departmental, integrated image management plalorm • Cloud based – Strong ROI, distributed mulD-‐site access at speeds equal to on site PACS • Image/report sharing with referring physicians and paDents on demand • Higher levels of funcDonality -‐ advanced visualizaDon, computer aided diagnosis • IntegraDon with EHRs, HIEs

VoXcell® Cloud On-‐Demand

Cloud CompuMng for Medical Imaging


!  Bullet ‒  Sub-‐bullet

‒  TerDary Bullet

VOXCELL DEMO

.

VoXcell® Cloud Technical Detail


DIFFERENTIATED APPROACH : GPU CLOUD GPU CLOUD BENEFITS

GPU : 1100 GFLOPS

CPU : 90 GFLOPS

Real-‐Dme diagnosDc quality visualizaDons •  On-‐demand and real-‐Dme radiology •  IntuiDve results for ordering physicians •  Connect with paDents

Faster and Affordable CAD and ‘Big Data’ AnalyDcs •  Improve accuracy •  Less radiaDon to paDents by reducing unnecessary use of imaging •  Streamline healthcare and reduce costs


DIFFERENTIATED APPROACH : GPU CLOUD HIGH DEFINITION VISUALIZATION

" VoXcell GPU Pre-‐integrated Texturing " CPU Ray CasDng (Compromise Quality for Speed)


DIFFERENTIATED APPROACH : GPU CLOUD HIGH DEFINITION VISUALIZATION

" VoXcell GPU Pre-‐integrated Texturing " CPU Ray CasDng (Compromise Quality for Speed)

" Real-‐Dme performance requires early ray terminaDon once opacity is reached (25%) ! results in hard plasDc looking surfaces. Transparent surfaces degrades performance.

" Real-‐Dme performance achieved through texture mapping polygons ! results in soTer, more realisDc surfaces that includes interior points. Enables transparent surfaces


DIFFERENTIATED APPROACH : GPU CLOUD PREDICTIVE INTELLIGENT STREAMING OVERCOMES LARGE DATA ACCESS SPEED AND LATENCY OVER INTERNET

" Use GPU to manipulate GB of paDent data remotely without transmiqng data to end user " Access visualizaDons on any device on-‐demand and real-‐Dme " Streaming visualizaDons done by predicDng next frames

" Fast FPS from GPU enable discarding incorrectly predicted frames and generaDng new ones " Predicted frames are buffered to client overcoming latency


DIFFERENTIATED APPROACH : GPU CLOUD ARTIFICIAL INTELLIGENCE LEADS TO INTELLIGENT VISUALIZATIONS®

CPU : 500s

GPU : 10s

15K Paserns " Uses: " Computer Aided Diagnosis through IntuiDve VisualizaDons " Cancer or Tumor DetecDon " SegmenDng Body Parts "  Intelligent VisualizaDon® R&D ParDally Funded by NaDonal Science FoundaDon

" Pasern RecogniDon Using ArDficial Neural Network

GPU is 3000x over CPU

" HeurisDc Search Using GeneDc Algorithm


IP SUMMARY : SUPERCOMPUTING CLOUD COMPARISON

Legacy PACS ConvenMonal Cloud KJAYA’s SupercompuMng Cloud PlaVorm Transmits raw scans to end users Streams visualizaDon on demand

Compromises raw scan for faster transmission •  Not fit for diagnosis •  Computer Aided Diagnosis (CAD) inaccuracy

HD quality without transmiqng raw scan •  FDA 510K cleared primary diagnosDc use •  ArDficial Intelligence CAD on gaming technology

Storage servers cannot manipulate or analyze large data – not scalable Graphics processors for large scan manipulaDon and analyDcs

Powerful PC workstaDon to run clinical app Clinical apps run on any device

CAD lack breadth of data and processing power CAD on vast historical and powerful processors using arDficial intelligence algorithms on GPU

Tools limited by vendor capability Flexible toolkit > App store for medical imaging

No barriers to entry Filed patents since 2009


IP : PATENT PENDING PLATFORM PATENT APPLICATIONS

I.   Secure Cloud SupercompuMng based Medical Imaging System PCT/US2010/036355 for “Method and System for Fast Access to Advanced VisualizaDon of Medical Scans Using a Dedicated Web Portal”

II.   Hybrid Cloud for Medical Imaging 61/514,295 for “Method and System for Fast Access to Advanced VisualizaDon of Medical Scans Using Hybrid Local and Dedicated Web Portal”

III.   A Scalable Architecture to handle large amounts of data and users 11/672,581 for "Method and System for Processing a Volume VisualizaDon Dataset

IV.  ArMficial Intelligence on GPU for 3D and Computer Aided DetecMon PCT/US11/45047 for “AdapDve VisualizaDon for Direct Physician Use”

V.   Patent Firm: DeLio & Peterson, New Haven, CT (near Yale University)


COMPETITIVE LANDSCAPE .

PACS

RIS

Intelligent

Visualiza

Dons® (AI)

3D on any PC

4D on any PC

Image Sharing

Archive & Disa

ster

Recovery

Diagno

sDc Quality

over Internet

FDA Cleared

Pred

icDve

Stream

ing (not

downloading)

MulD data cen

ter

Supe

rcom

puDn

g plal

orm

KJAYA Y Y Y Y Y Y Y Y Y Y Y Y CareStream Y Y N N N ? Y N Y N Y N TeraRecon*1 N N N Y N N N ? Y N N N Shina*1 on Amazon Cloud N N N Y N N N N Y N Y N vRAD Y N N N N N Y N Y N Y N DICOM Grid Y N N N N Y Y N N N N N LifeImage*1 N N N N N Y N N N N N N AccelaRad Y N N N N Y N N N N N N InsiteOne*1 N N N N N N Y N N N Y N BRIT Y Y N N N N N N Y N N N MedWeb Y Y N N N N N N Y N N N secureRAD Y N N N N N ? N ? N N N ScImage Y N N N N N ? N ? N N N NCS Y Y N N N N ? N Y N N N


INDUSTRY INSIDER RECOGNITIONS

"Most cloud-‐compuDng services don’t offer diagnosDc-‐quality images, and the ones that do typically feature lag Dme, slowing the process. The ability to quickly process

and transmit diagnosDc-‐level images sets KJAYA apart in this regard."

Christopher Gaerig, Imaging Economics

“Today’s medical environment demands efficient, cost-‐effecDve workflow and VoXcell delivers the tools that can empower faster and more accurate diagnosis within an extremely affordable fee structure."

Frost & Sullivan

“These are ambiDous companies, with highly innovaDve products and business development strategies that will enable them to carve out a place in global markets....”

KJAYA’s INVESTOR: Enterprise Ireland

VOXCELL CLOUD IMPLEMENTATION


CLUSTER COMPONENTS BIG DATA CLUSTER

A Node 24 TB Storage

5 TFLOPS AMD GPU 2 CPU

Up to 192GB Memory 90,000 IOPS

Two Nodes 48 TB Storage

2 AMD GPU (10,000 GFLOPS) 4 CPU (360 GFLOPS)

Up to 384GB Memory 180,000 IOPS


CONTENT HEADER

!  Bullet ‒  Sub-‐bullet

‒  TerDary Bullet

CONTENT SUBHEADER

APU: Natural

Progression


ARCHITECTURAL COMPARISON CPU VERSUS HYBRID CLOUD

Data

Process

Access

RelaDonal Database Storage

CPU

ConvenDonal DiagnosMc Non-‐ DiagnosMc

CPU

KJAYA’s VoXcell® Cloud

GPU

DiagnosMc

Big Data Clusters

" Not on demand

" On demand

" CPU+GPU=APU

" On demand

Cloud Cloud


WHY APU?

! VS

REDUCED POWER CONSUMPTION CPU GPU

" 5A " Mostly dissipated as heat


WHY APU? MANAGE EVER-‐EXPANDING VOLUMES OF MEDICAL IMAGING DATA


WHY APU WITH HSA? HETEROGENEOUS UNIFORM MEMORY ACCESS (HUMA)


HUMA USAGE IN GPU BASED VOLUME RENDERING PRE-‐COMPUTED CLASSIFICATION VOLUME

"  Intensity "  {Bone, Tissue, Air}


GPU BASED MULTIDIMENSIONAL TRANFER FUNCTION VOLUME RENDERING USING PRE-‐COMPUTED CLASSIFICATION VOLUME


DISCLAIMER & ATTRIBUTION

The informaDon presented in this document is for informaDonal purposes only and may contain technical inaccuracies, omissions and typographical errors.

The informaDon contained herein is subject to change and may be rendered inaccurate for many reasons, including but not limited to product and roadmap changes, component and motherboard version changes, new model and/or product releases, product differences between differing manufacturers, soTware changes, BIOS flashes, firmware upgrades, or the like. AMD assumes no obligaDon to update or otherwise correct or revise this informaDon. However, AMD reserves the right to revise this informaDon and to make changes from Dme to Dme to the content hereof without obligaDon of AMD to noDfy any person of such revisions or changes.

AMD MAKES NO REPRESENTATIONS OR WARRANTIES WITH RESPECT TO THE CONTENTS HEREOF AND ASSUMES NO RESPONSIBILITY FOR ANY INACCURACIES, ERRORS OR OMISSIONS THAT MAY APPEAR IN THIS INFORMATION.

AMD SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT WILL AMD BE LIABLE TO ANY PERSON FOR ANY DIRECT, INDIRECT, SPECIAL OR OTHER CONSEQUENTIAL DAMAGES ARISING FROM THE USE OF ANY INFORMATION CONTAINED HEREIN, EVEN IF AMD IS EXPRESSLY ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.

ATTRIBUTION

© 2013 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo and combinaDons thereof are trademarks of Advanced Micro Devices, Inc. in the United States and/or other jurisdicDons. SPEC is a registered trademark of the Standard Performance EvaluaDon CorporaDon (SPEC). Other names are for informaDonal purposes only and may be trademarks of their respecDve owners.

is-4003, a cloud based medical imaging platform using apu, by kovey kovalan

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