IMPLEMENTATION OF COMPUTATION-INTENSIVE RECONSTRUCTION ALGORITHMS FOR X-RAY COMPUTED TOMOGRAPHY.

Barry K. Gilbert; Lowell D. Harris; Rodney D. Beistad; Richard A. Robb; Daniel E. Atkins

IMPLEMENTATION OF COMPUTATION-INTENSIVE RECONSTRUCTION ALGORITHMS FOR X-RAY COMPUTED TOMOGRAPHY.

Barry K. Gilbert, Lowell D. Harris, Rodney D. Beistad, Richard A. Robb, Daniel E. Atkins

Physiology & Biomedical Engineering

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

Future generation x-ray computed tomography scanners will be characterized by their ability to record simultaneously a sufficient number of x-ray projections to allow reconstructions of multiple adjacent cross sections of the object under study. An ability to repeat the entire data collection procedure with great rapidity, allowing many scan passes per second, should encourage research and diagnostic studies of moving organs such as the heart and lungs in truly three dimensions and in real time. A combined series of algorithmic, software, special-purpose computer architecture, and hardware implementation studies have demonstrated significant progress toward computed tomography reconstruction processing rates of 10**9 to 10**1**0 arithmetic operations per second.

Original language	English (US)
Pages	256-264
Number of pages	9
State	Published - 1979
Event	Proc IEEE Comput Soc Conf Pattern Recognition Image Process - Chicago, IL, USA Duration: Aug 6 1979 → Aug 8 1979

Other

Other	Proc IEEE Comput Soc Conf Pattern Recognition Image Process
City	Chicago, IL, USA
Period	8/6/79 → 8/8/79

ASJC Scopus subject areas

General Engineering

Cite this

@conference{af20dde747364d0fa4f400ca258d9ab6,

title = "IMPLEMENTATION OF COMPUTATION-INTENSIVE RECONSTRUCTION ALGORITHMS FOR X-RAY COMPUTED TOMOGRAPHY.",

abstract = "Future generation x-ray computed tomography scanners will be characterized by their ability to record simultaneously a sufficient number of x-ray projections to allow reconstructions of multiple adjacent cross sections of the object under study. An ability to repeat the entire data collection procedure with great rapidity, allowing many scan passes per second, should encourage research and diagnostic studies of moving organs such as the heart and lungs in truly three dimensions and in real time. A combined series of algorithmic, software, special-purpose computer architecture, and hardware implementation studies have demonstrated significant progress toward computed tomography reconstruction processing rates of 10**9 to 10**1**0 arithmetic operations per second.",

author = "Gilbert, {Barry K.} and Harris, {Lowell D.} and Beistad, {Rodney D.} and Robb, {Richard A.} and Atkins, {Daniel E.}",

year = "1979",

language = "English (US)",

pages = "256--264",

note = "Proc IEEE Comput Soc Conf Pattern Recognition Image Process ; Conference date: 06-08-1979 Through 08-08-1979",

}

TY - CONF

T1 - IMPLEMENTATION OF COMPUTATION-INTENSIVE RECONSTRUCTION ALGORITHMS FOR X-RAY COMPUTED TOMOGRAPHY.

AU - Gilbert, Barry K.

AU - Harris, Lowell D.

AU - Beistad, Rodney D.

AU - Robb, Richard A.

AU - Atkins, Daniel E.

PY - 1979

Y1 - 1979

N2 - Future generation x-ray computed tomography scanners will be characterized by their ability to record simultaneously a sufficient number of x-ray projections to allow reconstructions of multiple adjacent cross sections of the object under study. An ability to repeat the entire data collection procedure with great rapidity, allowing many scan passes per second, should encourage research and diagnostic studies of moving organs such as the heart and lungs in truly three dimensions and in real time. A combined series of algorithmic, software, special-purpose computer architecture, and hardware implementation studies have demonstrated significant progress toward computed tomography reconstruction processing rates of 10**9 to 10**1**0 arithmetic operations per second.

AB - Future generation x-ray computed tomography scanners will be characterized by their ability to record simultaneously a sufficient number of x-ray projections to allow reconstructions of multiple adjacent cross sections of the object under study. An ability to repeat the entire data collection procedure with great rapidity, allowing many scan passes per second, should encourage research and diagnostic studies of moving organs such as the heart and lungs in truly three dimensions and in real time. A combined series of algorithmic, software, special-purpose computer architecture, and hardware implementation studies have demonstrated significant progress toward computed tomography reconstruction processing rates of 10**9 to 10**1**0 arithmetic operations per second.

UR - http://www.scopus.com/inward/record.url?scp=0018694083&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0018694083&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0018694083

SP - 256

EP - 264

T2 - Proc IEEE Comput Soc Conf Pattern Recognition Image Process

Y2 - 6 August 1979 through 8 August 1979

ER -

IMPLEMENTATION OF COMPUTATION-INTENSIVE RECONSTRUCTION ALGORITHMS FOR X-RAY COMPUTED TOMOGRAPHY.

Abstract

Other

ASJC Scopus subject areas

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