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Intel White Paper on Implementing Medical Imaging Using FPGAs

Summary

Accelerate the development of cutting-edge medical imaging equipment using FPGAs. This guide details how system architects and engineers can implement sophisticated, highly scalable algorithms required for modern diagnostic tools like PET/CT scanners. It covers utilizing programmable logic to manage massive data streams, enable multi-modality fusion, and perform real-time image enhancement or pattern recognition. Ideal for developers creating cost-effective, high-performance systems intended for early disease detection and surgical guidance.

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Medical Imaging Implementation Using

FPGAs

WP-MEDICAL-2.0 White Paper

Medical imaging equipment is taking on an increasingly critical role in healthcare as the industry strives to lower patient costs and achieve earlier disease prediction using non- invasive means. To provide the functionality needed to meet these industry goals, equipment developers are turning to programmable logic devices such as Altera’s FPGAs.

Introduction

Earlier prediction and treatment are driving the fusion of modalities such as positron emission tomography (PET)/computerized tomography (CT) and X-ray/CT equipment. The higher image resolutions that are needed require fine geometry micro-array detectors coupled with sophisticated software/hardware systems for the analysis of photonic and electronic signals. These systems must provide both highly accurate and extremely fast processing of large amounts of image data (up to 250 GMACS and 1 Gbps). Furthermore, to lower patient costs, each piece of equipment must be lower priced and possess a longer life utility. This calls for more flexible systems with the capability to continually update features and algorithms over the equipment’s lifetime. Together, flexible algorithm deployment and modality fusion compel the use of programmable system electronic components, such as high-powered CPUs and FPGAs.

Several factors should be considered in the efficient development of flexible medical imaging equipment:

Development of imaging algorithms requires high-level intuitive modeling tools for continual improvements in digital signal processing (DSP).

The performance needs for near-real-time analysis require system platforms that scale with both software (CPUs) and hardware (configurable logic). These processing platforms must meet various performance price points and be capable of bridging the fusion of multiple imaging modalities.

System architects and design engineers need to quickly partition and debug algorithms on these platforms, using the latest tools and intellectual property (IP) libraries to speed their deployment and improve profitability.

With these factors in mind, Altera provides its modular Video and Image Processing (VIP) Suite, a blockset of key IP building blocks that can accelerate the development and implementation of sophisticated imaging algorithms into FPGAs. The VIP Suite blockset, along with other Altera® and partner IP modules and reference designs (including IQ modems, JPEG2000 compression, fast Fourier transform (FFT)/inverse fast Fourier transform (IFFT), edge detection, etc.), provide a broad range of tools designers can use to speed FPGA implementations of computationally intensive tasks.

Copyright © 2010 Altera Corp oration. All rights reserved. ALTERA, ARRIA, CYCLONE, HARDCOPY, MAX, MEGACORE, NIOS, QUARTUS and STRAT IX are Reg. U.S. Pat. & Tm. Off. and/or trademarks of Altera Corporation in the U.S. and other countries. All other trademark s and service marks are the property of their respective holders as described at www.altera.com/common/le gal.html. Altera warrants performance of its semiconductor products to current specifications in accordance with Altera’s stand ard warranty, but reserves the right to make changes to any products and services at any time

101 Innovation Drive

without notice. Altera assume s no responsibility or liability arising out of the application or use of any information, product, or San Jose, CA 95134 service described herein excep t as expressly agreed to in writing by Altera. Altera customers are advised to obtain the latest version of device specification s before relying on any published information and before placing orders for products or services.

www.altera.com

July 2010 Altera Corporation

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Page Summary Contents For Intel White Paper on Implementing Medical Imaging Using FPGAs

Page 1 Medical Imaging Implementation Using FPGAs WP-MEDICAL-2.0 White Paper Medical imaging equipment is taking on an increasingly critical role in healthcare as the industry strives to lower patient costs ...
Page 2 Page Algorithm Developments in Medical Imaging Algorithm Developments in Medical Imaging Some of the most critical pieces of equipment in today’s medical development environment include: X-ray, magnet...
Page 3 Algorithm Developments in Medical Imaging Page Imaging Algorithms Image enhancement is commonly performed with convolution (linear) filtering. High- pass filtering enhances the detail in an image, but...
Page 4 Page Algorithm Developments in Medical Imaging Distributed vector processing is an algorithm that enables faster computations. The S-transform (ST) combines features of the FFT and wavelet transforms,...
Page 5 Algorithm Developments in Medical Imaging Page Cardiac motion estimation constitutes an important aid in quantifying the elasticity and contractibility of the heart muscle. Localized areas exhibiting ...
Page 6 Page Critical Building-Block Functions Critical Building-Block Functions Some of the key building block functions required for these sophisticated imaging algorithms include CT reconstruction, which r...
Page 7 Altera’s Video Design Framework Page To use the automated design flow (shown in Figure 1), follow these steps: 1. Build the design in Simulink using the building blocks from the DSP Builder Advanced B...
Page 8 Page Altera’s Video Design Framework With Altera’s video design framework, designers can start with existing working designs, re-use pre-verified IP for common functions such as scaling, de-interlacin...
Page 9 Leveraging FPGAs for Medical Imaging Page Leveraging FPGAs for Medical Imaging An example of an OEM leveraging Altera devices and tool suites highlights the benefits of FPGA and imaging IP use for tod...
Page 10 Page Further Information Integrated into multicore CPU platforms, Altera FPGAs provide the DSP horsepower for the most flexible, highest performance systems. To help accelerate the implementation of s...

Manual Details

Brand Intel
Pages 10
File Size 400.22 KB
Published June 05, 2026
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Frequently Asked Questions

What specific functions can accelerate FPGA development for imaging algorithms?

The Video and Image Processing (VIP) Suite offers key building blocks, including JPEG2000 compression, FFT/IFFT, and edge detection.

What types of data processing performance are required in modern medical equipment?

Systems must be capable of fast analysis of large amounts of image data, reaching speeds up to 250 GMACS and 1 Gbps.

How are FPGAs utilized alongside CPUs for imaging systems?

Altera FPGAs integrate into multicore CPU platforms, providing specialized DSP horsepower for high-performance and flexible systems.

What is an example of advanced algorithm application in surgery?

Image-Guided Therapy uses registration to compare pre-operative images with real-time 3D scans (e.g., CT/X-ray) for surgical guidance.