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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Manchester : B - Electrical and Electronic Engineering

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Output 149 of 179 in the submission

Article title

Sinogram recovery for sparse angle tomography using a sinusoidal Hough transform

Type

D - Journal article

DOI

10.1088/0957-0233/19/9/094015

Title of journal

Measurement Science and Technology

Article number

Volume number

Issue number

First page of article

094015

ISSN of journal

0957-0233

Year of publication

2008

URL

Number of additional authors

Additional information

The reported work introduces the mathematical foundations for an engineering solution of hard-field tomography from limited data by using pattern recognition algorithms. The improvement in the pixel precision of reconstructed images allowed its hardware implementation (DOI: 10.1109/JSEN.2012.2224654 ), and is now part of a prototype system capable of human gait analysis (EPSRC-funded iMAGiMAT's demonstrator: http://www.reuters.com/video/2012/10/08/magic-carpet-a-hi-tech-safety-net-for-el?videoId=238243515&videoChannel=5), which is in preparation for a spin-off (contact details available). Constantino was awarded the Tom Dyakowski Tomography Student Prize for this work. The publication is in the leading IoP journal on measurement, instrumentation and sensing.

Interdisciplinary

Cross-referral requested

Research group

6 - Sensing, Imaging and Signal Processing

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract