Preface

This edited volume is a collection of reviewed and relevant research concerning the devel‐ opments in the field of medical imaging and image-guided interventions. It includes contri‐ butions from various international scholars, each edited by an expert in the related subject field. This book will be of use to scholars and specialists in medical imaging.

**IntechOpen**

**Chapter 1**

**Provisional chapter**

**A High-Performance System Architecture for Medical**

**A High-Performance System Architecture for Medical** 

Medical imaging is classified into different modalities such as ultrasound, X-ray, computed tomography (CT), positron emission tomography (PET), magnetic resonance imaging (MRI), single-photon emission tomography (SPECT), nuclear medicine (NM), mammography, and fluoroscopy. Medical imaging includes various imaging diagnostic and treatment techniques and methods to model the human body, and therefore, performs an essential role to improve the health care of the community. Medical imaging, scans (such as X-Ray, CT, etc.) are essential in a variety of medical health-care environments. With the enhanced health-care management and increase in availability of medical imaging equipment, the number of global imaging-based systems is growing. Effective, safe, and high-quality imaging is essential for the medical decision-making. In this chapter, we proposed a medical imaging-based high-performance hardware architecture and software programming toolkit called high-performance medical imaging system (HPMIS). The HPMIS can perform medical image registration, storage, and processing in hardware with the support of C/C++ function calls. The system is easy to program and gives high

**Keywords:** visual processing system, image processing, FPGA, embedded computer vision

In medical imaging, high-performance graphics systems are being used for early diagnosing, planning treatment, and observing the problems. The medical imaging system plays

> © 2016 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use,

distribution, and reproduction in any medium, provided the original work is properly cited.

DOI: 10.5772/intechopen.83581

**Imaging**

**Imaging**

Tassadaq Hussain, Amna Haider,

Tassadaq Hussain, Amna Haider,

http://dx.doi.org/10.5772/intechopen.83581

Additional information is available at the end of the chapter

Additional information is available at the end of the chapter

performance to different medical imaging applications.

Muhammad Shafique and Abdelmalik Taleb-Ahmed

**Abstract**

**1. Introduction**

Muhammad Shafique and Abdelmalik Taleb-Ahmed

#### **A High-Performance System Architecture for Medical Imaging A High-Performance System Architecture for Medical Imaging**

DOI: 10.5772/intechopen.83581

Tassadaq Hussain, Amna Haider, Muhammad Shafique and Abdelmalik Taleb-Ahmed Tassadaq Hussain, Amna Haider, Muhammad Shafique and Abdelmalik Taleb-Ahmed

Additional information is available at the end of the chapter Additional information is available at the end of the chapter

http://dx.doi.org/10.5772/intechopen.83581

#### **Abstract**

Medical imaging is classified into different modalities such as ultrasound, X-ray, computed tomography (CT), positron emission tomography (PET), magnetic resonance imaging (MRI), single-photon emission tomography (SPECT), nuclear medicine (NM), mammography, and fluoroscopy. Medical imaging includes various imaging diagnostic and treatment techniques and methods to model the human body, and therefore, performs an essential role to improve the health care of the community. Medical imaging, scans (such as X-Ray, CT, etc.) are essential in a variety of medical health-care environments. With the enhanced health-care management and increase in availability of medical imaging equipment, the number of global imaging-based systems is growing. Effective, safe, and high-quality imaging is essential for the medical decision-making. In this chapter, we proposed a medical imaging-based high-performance hardware architecture and software programming toolkit called high-performance medical imaging system (HPMIS). The HPMIS can perform medical image registration, storage, and processing in hardware with the support of C/C++ function calls. The system is easy to program and gives high performance to different medical imaging applications.

**Keywords:** visual processing system, image processing, FPGA, embedded computer vision
