TACKLING THE CHALLENGES OF NEXT GENERATION … … · TACKLING THE CHALLENGES OF NEXT GENERATION HEALTHCARE Nicola Rieke, Senior Deep Learning Solution Architect Healthcare EMEA Fausto

TACKLING THE CHALLENGES OF NEXT GENERATION HEALTHCARE Nicola Rieke, Senior Deep Learning Solution Architect Healthcare EMEAFausto Milletari, Senior Deep Learning Solution Architect Healthcare NALA

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INTRODUCTIONPart of the global NVIDIA Healthcare team

● Senior Solution Architects @ NVIDIA

● Certified Deep Learning Institute Instructors

[email protected] [email protected]

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MEDICAL IMAGINGIS A COMPUTATIONALPROBLEM

Medical imaging is a difficult computational

problem, which GPUs have been already

solving for the past 10 years. As newer

computational platforms become available,

novel imaging techniques and improved

algorithms can be developed.

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10 YEARS OF INNOVATION IN HEALTHCARE

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COMPUTATION IN IMAGINGEverywhere!

ReconstructionComputed Tomography

Magnetic Resonance ImagingUltrasound

Visualization2D / 3D VisualizationMedical Simulation

Cinematic Rendering

Analysis / PlanningComputer-aided Diagnosis

Radiotherapy PlanningQuantification

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MEDICAL IMAGING IS COMPUTATIONAL

70% MEDICAL IMAGING PAPERS

USING DEEP LEARNING

10x COMPUTE REQUIRED

IN 6 YEARS

TFlo

ps

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“ If there is a chance that computer

scientists may have the best skill

set to fight cancer today, as

moral people, aren’t we obligated

to try?”Prof. David Andrew Patterson, New York Times, Dec 2011

Reference: https://www.nytimes.com/2011/12/06/science/david-patterson-enlist-

computer-scientists-in-cancer-fight.html

https://www.nytimes.com/2011/12/06/science/david-patterson-enlist-computer-scientists-in-cancer-fight.html

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HEALTHCARE IS CHANGINGDevelopments

Advanced visualisation More sensors Big Data

New Modalities Artificial Intelligence Precision Medicine

Digitalization Genomics AI for Drug Discovery

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HEALTHCARE IS CHANGINGFrom Interventions...

ENDOSCOPY ROBOTIC SURGERY MICROSURGERY

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HEALTHCARE IS CHANGING… To Next-generation interventions

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CHALLENGES AND REQUIREMENTSMedical Imaging is complex

Reliability Data Size Compatibility

Safety Edge Computing / Cloud Workflow Enhancement

Privacy Latency ...

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CHALLENGE OF MEDICAL IMAGINGMedical Imaging Instruments and Analysis

10-1000 GBit/sec 5-50 TFLOPS

1-12 GPUs per instrument

50-1,800W

High Speed IO

Sensor ProcessingReconstruction AI & Image Processing Visualization

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NVIDIA CLARA PLATFORM

Clara AGXNext Generation Instruments

Clara SDKUpgrade Instrument Install Base

Clara Developers1000s of Instrument Applications

https://developer.nvidia.com/clara


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TRADITIONAL INSTRUMENT ARCHITECTURE

High Speed IO




50-1,800W

Custom FPGA for

BUS communication

and computations

GPUs integrated in

instrument and non-

upgradable

Custom, monolithic

software

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TRADITIONAL INSTRUMENT ARCHITECTURE

High Speed IO




50-1,800W

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NEXT GENERATIONINTELLIGENT INSTRUMENTS

System on a chip. Volta GPU architecture

16 GB on-board memory

540 CUDA cores with Tensor Cores

30 W power envelope

PCIe interface Gen 4

JETSON AGX XAVIERNVIDIA XAVIER

https://www.nvidia.com/en-us/deep-learning-ai/products/agx-systems


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CUDA, AI, Graphics

Rich High-Speed Sensor IO

Scalable Compute with Turing GPU

Intelligent with Tensor Cores

NEXT GENERATIONINTELLIGENT INSTRUMENTS

CLARA AGX XAVIERNVIDIA XAVIER + TURING


Single Chip Medical Instrument,

Imaging, CV, AI, Visualization

on One Chip

30 TOPS DL Processing

Scale up to 200 TOPS DL

Processing

8 GIGA Rays

200W


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Discrete GPUsAvailable via retail in

200+ countries

DGX FamilyThe HPC appliance for instant productivity

NVIDIA TESLAServers in every shape and size

CLOUDEverywhere

NVIDIA PLATFORM

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Compatible with raw and DICOM Data

Supports standalone apps & microservices

Built on NVDocker & Kubernetes for scalability

Accelerated libraries, apps & imaging workflows

SERVICE ORIENTED ARCHITECTURE FOR HEALTHCARE

NVIDIA CLARA SDKSDK for Development & Deployment


CUDA

KUBERNETES - NVDOCKER

NPP TRT RTX NVJPEG

SUPRA ASTRACINEMATIC

RENDERVOLUME

RENDER

WEB

UI

FREE

HAND USSubtleMR RECON

3D

SEG

IMAGE

REG


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ULTRASOUND IMAGING ON GPU

RAW

data

BMode

images

Transmit

Beamforming

CPU

Receive

Beamforming

GPU

Transmit &

Receive

Ultrasound

Hardware

Envelope

Detection

Log-

Compression

Scan-

Conversion

GPUGPU GPU

BMode

scan

lines

Adaptive Beamforming is computational

● real-time, end-to-end imaging

● CUDA accelerated

● supports any probe geometry

● hardware agnostic

● advanced processing schemes

CUDA CuBLAS

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ASTRA CT Reconstruction toolbox

● Advanced reconstruction algorithms

● CUDA accelerated

● Supports different scan patterns

● FBP, SIRT, SART, CGSL algorithms

BETTER IMAGES AT A LOWER DOSE

CUDA CuFFT CuBLAS

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MRI reconstruction algorithm with AI

● 100x faster reconstruction

● 5 x higher accuracy

● Works with any acquisition pattern

● Works with heavily downsampled/

aliased signal

AI IMPROVES IMAGING SPEED AND ACCURACY

TRT-ISTRT CUDA CuDNN

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BRAIN TUMOR SEGMENTATION

TRT TRT-ISCUDANVJPEG CuDNN

Encoder - Decoder Architecture with

additional VAE branch

● 1st Place

● Training:

○ 1 GPU, V100-32GB,

300 epoch training ~ 2days

○ NVIDIA DGX-1 server,

300 epoch training ~ 6h

● Inference: 0.4 s

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● high memory requirement!

NVJPEG

DIGITAL PATHOLOGY

CUDATRT TRT-IS

CuDNN

Gland Segmentation

● Very large images:

180 K x 90 K Image

● Labels often apply to whole image

● high memory requirement!

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NEXT GENERATION VISUALIZATION

RTXCINEMATIC

RENDER

VOLUME

RENDERWebUI

Cinematic rendering

● photorealistic imaging

● offers additional diagnostic insights

● highly computational

● real-time on our platform

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CLARA DEVELOPMENT PARTNERS

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CLARA AGX FOR ULTRASOUNDPlatform of choice for next generation products

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NVIDIA CLARA AND IMFUSIONProject Clara for next generation ultrasound

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NVIDIA CLARA AND SUBTLE MEDICALProject Clara to improve PET and MRI imaging

*Disclaimer: SubtlePET is pending FDA clearance. SubtleGAD and SubtleMRI is pre-FDA submission. Not available for commercial sale.

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NVIDIA CLARA PLATFORM

Clara AGXNext Generation Instruments

Clara SDKUpgrade Instrument Install Base

Clara Developers1000s of Instrument Applications



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NVIDIA AI PLATFORM - HEALTHCARE

NVIDIA GPU Cloud

GPU-Optimized

Containers

Tesla V100

32GB

DGX Systems

V100 32GB

DGX-2

NVIDIA AI Inference

PLASTER and Project

CLARA

CLARA

NVIDIA DLI

Deep Learning Institute

NVIDIA DIGITS

For fast model

prototyping

Thank you!

Documents

TACKLING THE CHALLENGES OF NEXT GENERATION … … · TACKLING THE CHALLENGES OF NEXT GENERATION HEALTHCARE Nicola Rieke, Senior Deep Learning Solution Architect Healthcare EMEA Fausto