Novel attenuation correction of SPECT images using scatter photopeak window data for the detection of coronary artery disease

Yamauchi, Yohei; Kanzaki, Yumiko; Otsuka, Keijiro; Hayashi, Meiso; Okada, Mami; Nogi, Shimpei; Morita, Hideaki; Komori, Tsuyoshi; Ishizaka, Nobukazu

doi:10.1007/s12350-013-9814-z

Cited by 14 publications

(11 citation statements)

References 27 publications

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“…Yamauchi et al (4) reported that the automatic processing success rate of SSPAC was 93%. They used low counts, and SSPAC was not successful in the stress condition, but aμmap made in a resting-condition study with a high count can be used under stress.…”

Section: Discussionmentioning

confidence: 99%

“…The SSPAC method, which recognizes the outlines of the body around chest and lungs using scatter window data, is known to reduce misregistration problems by its method of constructing aμmap (4). However, when injecting a low dose, the quality of the Compton scatter image and the recognition accuracy of the outlining decrease (5), such that a μ map image cannot be constructed.…”

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confidence: 99%

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Improvements in Segmentation Using Scatter and Photopeak Window Data for Attenuation Correction in Myocardial SPECT

Kanzaki

Kasama

Takahashi

et al. 2016

Annals of Nuclear Cardiology

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Background: The method of Segmentation with Scatter and Photopeak window data in Attenuation Correction (SSPAC) recognizes the outlines of the body around chest and lungs using scatter window data after which an attenuation correction (μ) map can be constructed. We have developed a new extraction method, adding a masking process to SSPAC, because the extraction of outlines was otherwise incomplete. Methods and Results:The masking process extracted right and left lung fields from chest images. The quality of

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Improvements in Segmentation Using Scatter and Photopeak Window Data for Attenuation Correction in Myocardial SPECT

Kanzaki

Kasama

Takahashi

et al. 2016

Annals of Nuclear Cardiology

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“…The same group of investigators reported slightly different results in a previous study, with improved sensitivity for LAD disease and improved specificity for RCA disease with the use of SSPAC. 12 There are several potential advantages of the SSPAC method.…”

Section: Termination Of Exercise At Onset Of Ischemia In the Region Wmentioning

confidence: 99%

Failure to accurately identify the number of diseased coronary arteries: A weakness of SPECT MPI

Calnon

2019

Journal of Nuclear Cardiology

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“…We chose the method called the scatter and photo peak window data for our Attenuation Correction (SSPAC) technique [6] rather than employ a correction based on an X-ray CT. This choice was made to avoid increasing the radiation exposure to the pediatric patient.…”

Section: Attenuation Correctionmentioning

confidence: 99%

Effect of Scatter, Attenuation and Resolution Correction on a Pediatric Myocardial Perfusion SPECT Image

Mogi¹,

Takahashi²,

Nakajima³

et al. 2014

J Cardiovasc Med Cardiol

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Scatter correction, attenuation correction, and resolution correction are commonly used to improve the quantify ability of a SPECT image. However, almost none of these are discussed specifically for the pediatric patient. This study aims to suggest practical image processing techniques to improve pediatric SPECT reconstructions. We chose to use phantoms based on the size of a 3-year-old according to the body surface area (BSA). This age group has much postoperative follow-up. For correction methods, we chose triple energy window (TEW) scatter correction, segmentation with scatter and photo peak window data for attenuation correction (SSPAC) technique, and collimator broad correction (CBC) resolution correction. The phantom studies achieved 10counts/pixel/projection/rotation for the target area. Continuous mode acquisition was employed. Data from multiple sequential rotations were added together to provide data sets with from 10 to 100 counts/pixel/projection. Also, the effect of the corrections on a patient image was evaluated qualitatively. The noise level of their constructed phantom images was compared using the normalized mean square error (NMSE) metric. The error was computed for lesser count images relative to the image for the highest count level. For the 10, 20, 30, 40, 50, 60, 70, 80, and 90 counts/pixel/projection data: the pediatric myocardial phantom with a defect had a NMSE of 0.7587, 0.5997, 0.4627, 0.3519, 0.2546, 0.1700, 0.0976, 0.0412, and 0.0016, respectively. This series for the metric shows a tendency for the image to rapidly get less noisy as there are more counts per pixel. Increasing the acquisition time to get sufficient counts may be really difficult in pediatric myocardial nuclear medicine, however. We have seen that image quality deteriorates for a rapid, low-count acquisition, as a compromise between image quality and practicality; we recommend at least 70 counts/pixel/projection to obtain the desirable low-noise image. achieve a low-noise image for a child. The independent variable in the study will be the projection count density. Materials and Methods The SPECT system used was the PRISM-AXIS (SHIMADZU Co., Kyoto, Japan) and E-CAM (Toshiba Medical Systems, Tochigi, Japan). We employed the continuous-mode at 6° intervals over 360° (10counts/pixel/projection, 10rotations in total). The matrix size was 64 × 64, and the image reconstruction pixel size was 3.2 × 3.2 mm. The data processor was the Odyssey-FX (SHIMADZU Co., Kyoto, Japan) and GMS-5500A/PI (Toshiba Medical Systems, Tochigi, Japan). The phantom studies achieved 10counts/pixel/projection/rotation for the target area. Continuous mode acquisition was employed. Data from multiple sequential rotations were added together to provide data sets with from 10 to 100 counts/pixel/projection. Note that 100 counts/pixel/projection is the standard adult count density. A three year-old boy presented with a history of hypo plastic left heart syndrome (HLHS).Echocardiogram performed on depressed right ventricular systolic function. ECG confirm...

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Novel attenuation correction of SPECT images using scatter photopeak window data for the detection of coronary artery disease

Abstract: Attenuation correction with SSPAC may be a feasible method of correction for myocardial perfusion SPECT and in some cases may provide better accuracy for diagnosing coronary artery disease.

Cited by 14 publications

References 27 publications

Improvements in Segmentation Using Scatter and Photopeak Window Data for Attenuation Correction in Myocardial SPECT

Improvements in Segmentation Using Scatter and Photopeak Window Data for Attenuation Correction in Myocardial SPECT

Failure to accurately identify the number of diseased coronary arteries: A weakness of SPECT MPI

Effect of Scatter, Attenuation and Resolution Correction on a Pediatric Myocardial Perfusion SPECT Image

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