Computerized tomography versus perfusion lung scanning in canine radiation lung injury

Idbaïh, Ahmed; Logus, J. W.; El‐Khatib, Ellen; Battista, Jerry; Ferri, H; Lentle, Brian C.; Man, Godfrey C.W.; Man, S. F. Paul

doi:10.1016/0360-3016(90)90063-p

Cited by 8 publications

(2 citation statements)

References 13 publications

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“…6 In the absence of a more specific indicator, it is therefore reasonable to use perfusion imaging to estimate a relative functional status. [7][8][9][10][11][12][13] There are certainly potential shortcomings in using this technique for estimating lung functional status. For example, perfusion to a region might be reduced due to the obstruction of proximal blood vessels.…”

Section: Methodsmentioning

confidence: 99%

Incorporation of functional status into dose‐volume analysis

et al. 1999

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The dose-volume histogram (DVH) has gained wide acceptance as a mechanism for reducing the voluminous data of a three-dimensional dose distribution into a two-dimensional graph. These graphs are often converted to a single figure of merit. This data reduction technique is used both for clinical treatment plan evaluation and as part of proposed systems for estimating control and complication probabilities. It has long been recognized that a major shortcoming of the DVH as an analysis tool is that all spatial information is discarded. A subtler problem, which is addressed in this work, is that the DVH also implies homogeneity of biological consequence of irradiation in what may be a functionally heterogeneous volume of tissue. An extension to the DVH, the functional dose-volume histogram, or dose-function histogram (DFH), is proposed, that explicitly includes quantitative three-dimensional functional information. The concept is illustrated by the use of SPECT imaging to assess the functional status of irradiated lung.

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Section: Methodsmentioning

confidence: 99%

Incorporation of functional status into dose‐volume analysis

et al. 1999

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“…The application of nuclear medicine functional imaging to lung dose-response (DR) analysis in radiotherapy has also been the topic of recent research , and is the motivation for this present work. Currently, anatomical imaging techniques such as computed tomography [8] and magnetic resonance imaging [9] standard modalities for monitoring the effects of radiation therapy on lung tissue. However, the appropriateness of these modalities for obtaining information on post-treatment changes in lung function remains unclear [9].…”

Section: Introductionmentioning

confidence: 99%

Bayesian SPECT lung imaging for visualization and quantification of pulmonary perfusion

Scarfone¹,

Jaszczak²,

Gilland³

et al.

1997 IEEE Nuclear Science Symposium Conference Record

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We quantitatively and qualitatively examine the use of a Gibbs prior in maximum a posteriori (MAP) reconstruction of SPECT images of pulmonary perfusion using the expectationmaximization algorithm (EM). This Bayesian approach is applied to SPECT projection data acquired from a realistic torso phantom with spherical defects in the lungs simulating perfusion deficits. Both the scatter subtraction constant (k) and the smoothing parameier beta (p) characterizing the prior are varied to study their affect on image quality and quantification. Region of interest (ROI) analysis is used to compare MAP-

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