Lungs SPECT image processing for volume and perfusion index estimation

Lyra, Maria; Gavrilelli, M.; Lyra, Victor Gouveia de M.; Kokona, G.; Skouroliakou, K.

doi:10.1109/bibe.2008.4696800

Cited by 3 publications

(4 citation statements)

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“…(a) 4 hours postevent, Right lobe embolism, R lobe volume 0.66 lt, and total lungs' volume 2.85 lt. (b) 11 days posttherapy, R lobe volume 3.28 lt, and total lungs' volume 5.28 lt. [37] (modified) .…”

Section: Figurementioning

confidence: 99%

“…A method for lungs' volume determination by SPECT and 3D SPECT images has been demonstrated [ 37 ]. Reconstruction was performed by quantitative FBP by Hann filter (critical frequency 0.9) and Chang attenuation correction order 0, coefficient 0.11 in the GE Xeleris2 image processing system.…”

Section: Type Of Filters Depending On Type Of Studymentioning

confidence: 99%

“… 3D SPECT Lungs' FBP reconstruction by Hann filter (critical frequency 0.9) and Chang attenuation correction order 0, coefficient 0.11. (a) 4 hours postevent, Right lobe embolism, R lobe volume 0.66 lt, and total lungs' volume 2.85 lt. (b) 11 days posttherapy, R lobe volume 3.28 lt, and total lungs' volume 5.28 lt. [ 37 ] (modified) . …”

Section: Figurementioning

confidence: 99%

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Filtering in SPECT Image Reconstruction

Lyra

Ploussi

2011

International Journal of Biomedical Imaging

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117

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Single photon emission computed tomography (SPECT) imaging is widely implemented in nuclear medicine as its clinical role in the diagnosis and management of several diseases is, many times, very helpful (e.g., myocardium perfusion imaging). The quality of SPECT images are degraded by several factors such as noise because of the limited number of counts, attenuation, or scatter of photons. Image filtering is necessary to compensate these effects and, therefore, to improve image quality. The goal of filtering in tomographic images is to suppress statistical noise and simultaneously to preserve spatial resolution and contrast. The aim of this work is to describe the most widely used filters in SPECT applications and how these affect the image quality. The choice of the filter type, the cut-off frequency and the order is a major problem in clinical routine. In many clinical cases, information for specific parameters is not provided, and findings cannot be extrapolated to other similar SPECT imaging applications. A literature review for the determination of the mostly used filters in cardiac, brain, bone, liver, kidneys, and thyroid applications is also presented. As resulting from the overview, no filter is perfect, and the selection of the proper filters, most of the times, is done empirically. The standardization of image-processing results may limit the filter types for each SPECT examination to certain few filters and some of their parameters. Standardization, also, helps in reducing image processing time, as the filters and their parameters must be standardised before being put to clinical use. Commercial reconstruction software selections lead to comparable results interdepartmentally. The manufacturers normally supply default filters/parameters, but these may not be relevant in various clinical situations. After proper standardisation, it is possible to use many suitable filters or one optimal filter.

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Section: Figurementioning

confidence: 99%

Section: Type Of Filters Depending On Type Of Studymentioning

confidence: 99%

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Filtering in SPECT Image Reconstruction

Lyra

Ploussi

2011

International Journal of Biomedical Imaging

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117

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“…A SPECT lung study can be used to estimate the lung perfusion improvement in details. Data reconstructed in transverse, coronal, sagittal slices as well as 3D surface images and series of follow up SPECT studies, after the pulmonary embolism event, must be used (Lyra et al, 2008b). From lung perfusion SPECT data, volume of each reconstructed transverse slice can be estimated by counting the voxels inside each slice.…”

Section: Lung Perfusion 3d Surface Imagesmentioning

confidence: 99%

Single Photon Emission Tomography (SPECT) and 3D Images Evaluation in Nuclear Medicine

Lyra¹

2009

Image Processing

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Contribution of analysis of perfusion iodine map’s to diagnostic of acute pulmonary thromboembolism

Oganesyan

Sinitsyn

Мершина

et al. 2022

Medicinskaâ vizualizaciâ

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Purpose: to study the contribution of perfusion iodine maps to diagnosis of acute pulmonary embolism (PE) and compare pulmonary perfusion defects with the main imaging biomarkers of PE.Materials and methods. 130 patients with suspected acute pulmonary thromboembolism were studied using pulmonary computed tomographic angiography with perfusion iodine map`s analysis. Pulmonary embolism was revealed in 42 cases. There were evaluated: the number and level of vessel occlusion (Qanadli index), number and grades of lung perfusion defects on perfusion iodine maps (perfusion index), signs of right heart failure, changes of lung parenchyma.Results. Analysis of the data showed a strong correlation between the index Qanadli and perfusion index, rather than signs of right failure. In 3 cases, the segmental and subsegmential pulmonary embolism was revealed form the iodine map’s analysis only.Conclusion. Thus, perfusion iodine maps improve the diagnosis of acute pulmonary embolism due to characterizing the changes of pulmonary microcirculation. From our data, the iodine maps can be employed as a prognostic tool for further therapy.

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Lungs SPECT image processing for volume and perfusion index estimation

Cited by 3 publications

References 13 publications

Filtering in SPECT Image Reconstruction

Filtering in SPECT Image Reconstruction

Single Photon Emission Tomography (SPECT) and 3D Images Evaluation in Nuclear Medicine

Contribution of analysis of perfusion iodine map’s to diagnostic of acute pulmonary thromboembolism

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