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Biomedical Engineering and Science 1st Edition by Hamid R Arabnia, Leonidas Deligiannidis, Fernando G Tinetti ISBN 1683921860 9781683921868

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Biomedical Engineering and Science 1st Edition Hamid R. Arabnia Digital Instant Download

Author(s): Hamid R. Arabnia; Leonidas Deligiannidis; Fernando G. Tinetti
ISBN(s): 9781683921868, 1683921860
Edition: 1
File Details: PDF, 5.68 MB
Year: 2016
Language: english
SKU: EB-51630794 Category: Tags: , ,

Biomedical Engineering and Science 1st Edition by Hamid R. Arabnia; Leonidas Deligiannidis; Fernando G. Tinetti – Ebook PDF Instant Download/Delivery: 1683921860, 9781683921868

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Product details:

ISBN 10: 1683921860

ISBN 13: 9781683921868 

Author: Hamid R. Arabnia; Leonidas Deligiannidis; Fernando G. Tinetti

Computed tomography (CT) scans are used to analyze internal structures through capture of x-ray images. CT scans are prone to multiple artifacts, including motion blur, streaks, and pixel irregularities, and therefore must be run through image reconstruction software to reduce visual artifacts. Efficient and accurate tomographic image reconstruction algorithms and software have been an intensive topic of research. The most common algorithm used is the Feldkamp, Davis, and Kress back projection algorithm. The algorithm is computationally intensive due to the O(n4) back projection step. Processing large CT data files on GPUs has been shown to be effective. An emerging alternative for implementation of this algorithm is via Field Programmable Gate Arrays (FPGAs). With companies, like Intel and IBM, starting to bring FPGAs into more mainstream computing systems, there are opportunities to leverage the potential performance of FPGAs and their reduced power consumption. In this paper we present an analysis of the performance of a 3D cone-beam CT image reconstruction implemented in OpenCL on a FPGA and compare its performance and power consumption to a GPU. keywords: Image reconstruction, image processing, computed tomography, cone-beam CT images, FPGAs, performance.

Table of contents:

SESSION: BIOMEDICAL ENGINEERING, METHODOLOGIES, AND NOVEL APPLICATIONS

  • Analysis of 3D Cone-Beam CT Image Reconstruction Performance on a FPGA

  • A Review of Brain Signal Processing Methods

  • An Ultra-Low Power modified SERF Adder in Subthreshold Region for Biomedical Applications

  • Digital Compensation Method for Enhancing the Blood Pressure Estimation Based on the Arterial Pulse Waveform

  • Using a Non-invasive Approach to Evaluate the Effects of Smoking on Swallowing and Respiration Coordination

  • Discovery of a Naturally Occurring Temperature Scale

SESSION: POSTER PAPERS

  • A Simulation Study on the Safety of Brain during Ocular Iontophoresis

  • Conductive Cottons for Patch Type Wearable Bio Potential Monitoring

  • Drug Delivery for Colon Cancer Therapy by Doxorubicin with Oligonucleotide Modified Gold-Nanoparticles

  • Remote Measurement of Infant Emotion via Heart Rate Variability

  • Digital Arterial Pulse Waveform Measurement System with the PPG Sensor

  • A Study on Brain Activation by Addition Task with Driving

  • Classifying Clinical Citations based on Semantic Polarity

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Tags: Hamid R Arabnia, Leonidas Deligiannidis, Fernando G Tinetti, Biomedical, Engineering, Science