Performance measurement of PSF modeling reconstruction (True X) on Siemens Biograph TruePoint TrueV PET/CT

Lee, Young Sub; Kim, Jin Su; Kim, Kyeong Min; Kang, Joo Hyun; Lim, Sang Moo; Kim, Hee-Joung

doi:10.1007/s12149-014-0815-z

Cited by 35 publications

(46 citation statements)

References 15 publications

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“…Increasing the number of iterations provides a higher contrast, but at the cost of higher noise [11,23]. However, higher iterations would allow for a more accurate quantification of the standardized uptake value (SUV), which is desired in clinical imaging, especially when following up oncological patients.…”

Section: Discussionmentioning

confidence: 99%

“…Owing to their somewhat slow convergence in cold regions and close to hot objects [20], OSEM algorithms are challenged with increasing image noise per iteration and subset [14,17,21], especially in systems using TOF [22]. Thus, improvement of contrast with a higher number of iterations will result in higher noise [11,23]. This constitutes a limitation for clinical image reading, and for lesion quantification and lesion detection properties.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies

Sah

Stolzmann

Delso

et al. 2017

Nuclear Medicine Communications

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PURPOSE To investigate the clinical performance of a block sequential regularized expectation maximization (BSREM) penalized likelihood reconstruction algorithm in oncologic PET/computed tomography (CT) studies. METHODS A total of 410 reconstructions of 41 fluorine-18 fluorodeoxyglucose-PET/CT studies of 41 patients with a total of 2010 lesions were analyzed by two experienced nuclear medicine physicians. Images were reconstructed with BSREM (with four different values) or ordered subset expectation maximization (OSEM) algorithm with/without time-of-flight (TOF/non-TOF) corrections. OSEM reconstruction postfiltering was 4.0 mm full-width at half-maximum; BSREM did not use postfiltering. Evaluation of general image quality was performed with a five-point scale using maximum intensity projections. Artifacts (category 1), image sharpness (category 2), noise (category 3), and lesion detectability (category 4) were analyzed using a four-point scale. Size and maximum standardized uptake value (SUVmax) of lesions were measured by a third reader not involved in the image evaluation. RESULTS BSREM-TOF reconstructions showed the best results in all categories, independent of different body compartments. In all categories, BSREM non-TOF reconstructions were significantly better than OSEM non-TOF reconstructions (P<0.001). In almost all categories, BSREM non-TOF reconstruction was comparable to or better than the OSEM-TOF algorithm (P<0.001 for general image quality, image sharpness, noise, and P=1.0 for artifact). Only in lesion detectability was OSEM-TOF significantly better than BSREM non-TOF (P<0.001). Both BSREM-TOF and BSREM non-TOF showed a decreasing SUVmax with increasing values (P<0.001) and TOF reconstructions showed a significantly higher SUVmax than non-TOF reconstructions (P<0.001). CONCLUSION The BSREM reconstruction algorithm showed a relevant improvement compared with OSEM reconstruction in PET/CT studies in all evaluated categories. BSREM might be used in clinical routine in conjunction with TOF to achieve better/higher image quality and lesion detectability or in PET/CT-systems without TOF-capability for enhancement of overall image quality as well. Purpose To investigate the clinical performance of a block sequential regularized expectation maximization (BSREM) penalized likelihood reconstruction algorithm in oncologic PET/computed tomography (CT) studies.Methods A total of 410 reconstructions of 41 fluorine-18 fluorodeoxyglucose-PET/CT studies of 41 patients with a total of 2010 lesions were analyzed by two experienced nuclear medicine physicians. Images were reconstructed with BSREM (with four different β values) or ordered subset expectation maximization (OSEM) algorithm with/without time-of-flight (TOF/non-TOF) corrections. OSEM reconstruction postfiltering was 4.0 mm full-width at halfmaximum; BSREM did not use postfiltering. Evaluation of general image quality was performed with a five-point scale using maximum intensity projections. Artifacts (category 1), image sharpness (category 2), n...

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies

Sah

Stolzmann

Delso

et al. 2017

Nuclear Medicine Communications

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“…Rajaram et al, in their 2D PET/CT study evaluating the impact of emission-transmission misregistration on myocardial blood flow quantification, artificially created 5-and 10-mm misregistrations along both the x-axis (left) and the z-axis (cranial) such that the lung parenchyma in CT overlapped the anterior and lateral LV walls in PET (6). PET/CT systems with 3D OSEM combined with TOF and PSF modeling have been shown to significantly improve PET image quality (9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(22)(23)(24)(25)(26). However, it is still unknown whether the influence of PET/CT misregistration on myocardial uptake is greater for 3D PET/CT than for 2D PET/CT.…”

Section: Discussionmentioning

confidence: 99%

“…Image reconstruction using 3D ordered-subset expectation maximization (OSEM) improves both spatial resolution and contrast-to-noise ratio in comparison with filtered backprojection reconstruction (10)(11)(12). In addition, recent 3D PET/CT scanners use time-of-flight (TOF) and point-spread-function (PSF) modeling, further improving spatial resolution, signal-to-noise ratio, and contrastto-noise ratio (12)(13)(14)(15)(16)(17)(18). Therefore, cardiac PET/CT using 3D OSEM combined with TOF and PSF modeling might be more susceptible than conventional 2D PET/CT to misregistration between PET-emission and CT-attenuation images, potentially affecting the accuracy with which myocardial uptake is estimated.…”

mentioning

confidence: 99%

The Effect of Misregistration Between CT-Attenuation and PET-Emission Images in ¹³N-Ammonia Myocardial PET/CT

Tomita

Ishida

Ichikawa

et al. 2016

J. Nucl. Med. Technol.

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In 2-dimensional cardiac PET/CT, misregistration between the PET and CT images due to respiratory and cardiac motion causes tracer uptake to appear substantially reduced. The resolution and quality of the images have been considerably improved by the use of 3-dimensional (3D) PET acquisitions. In the current study, we investigated the impact that misregistration between PET and CT images has on myocardial 13 N-ammonia uptake in images reconstructed with 3D ordered-subset expectation maximization combined with time-of-flight and point-spread-function modeling. Methods: Eight healthy volunteers (7 men and 1 woman; mean age ± SD, 53 ± 19 y) underwent 13 N-ammonia cardiac PET/CT at rest. First, any misregistration between the PET and CT images was manually corrected to generate reference images. Then, the images were intentionally misregistered by shifting the PET images from the reference images by a degree of 1, 2, 3, 4, 5, 10, and 15 mm along both the x-axis (left) and the z-axis (cranial). For each degree of misregistration, the PET images were reconstructed using the CT-attenuation images. The left ventricular short-axis PET/CT images were divided into 4 segments: anterior wall, inferior wall, lateral wall, and septum. The erroneous decrease in myocardial uptake in basal, mid, and apical slices was visually graded using a 4-point scale (0 5 none, 1 5 mild, 2 5 moderate, and 3 5 severe). Wall-to-septum uptake ratios were evaluated for the anterior, inferior, and lateral walls in the basal, mid, and apical slices. Results: A statistically significant reduction in myocardial 13 N-ammonia uptake in the anterior (P , 0.01) and lateral (P , 0.05) walls was observed when misregistration was 10 mm or more. The uptake ratios for the anterior, lateral, and inferior walls in the reference images were 1.00 ± 0.04, 0.96 ± 0.08, and 0.91 ± 0.03, respectively. The ratios for the anterior and lateral walls significantly decreased when misregistration exceeded 10 mm (anterior wall, 0.80 ± 0.06, P , 0.0001; lateral wall, 0.82 ± 0.07, P , 0.01), whereas the ratio for the inferior wall was relatively small at all 7 degrees of misregistration (0.86 ± 0.05 at 15-mm misregistration, P 5 0.06). Conclusion: In PET/CT images reconstructed with 3D ordered-subset expectation maximization combined with time-of-flight and point-spreadfunction modeling, we found a statistically significant artifactual reduction in tracer uptake in heart regions overlapping lung when misregistration between PET and CT exceeded 10 mm. Myocardi al perfusion PET/CT with pharmacologic stress detects coronary artery disease by identifying regional reductions in tracer uptake (1). Accurate and reliable assessment of these regional reductions is essential for early detection and therapy when coronary artery disease is suspected (1,2). The CT data acquired in myocardial perfusion PET/CT studies are commonly used for attenuation correction (3). However, misregistration between PET-emission and CT-transmission data may occur up to 40% of the time (4). Studies using 2-d...

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“…In addition to TOF, reconstruction techniques using the point spread function (PSF) improve image quality. 3D PET reconstruction with PSF modeling shows improvement of spatial resolution by 45% and contrast by 10% [7]. On the same hand, comparison of PSF with non-PSF images showed a mean bias up to 12% for SUVmax, 8% for SUVmean, and 7,5% for SUVpeak [8].…”

Section: Influence Of Tof and Psf In Imagingmentioning

confidence: 93%

Need for Revising Patient Dose Protocols in Pet Medical Imaging Based on Novel Technology Improvements

Antić¹,

Haglund²

2016

RAD Conference Proceedings

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Abstract. Clinical studies have shown that it is possible to improve image contrast up to 30% when time of flight (TOF) technology is used compared to non-TOF technology [1]. On the other hand, it has been shown that, combined with the point spread function (PSF) in image quality for overweight patients could study and a change of the dose model based on patient weight. This chan EANM procedure guidelines, either replacing them or combining them with a system based on a body-mass-index (BMI) concept, and thus result in significant dose reductions with stronger patient-based dose optimisation. This will also reduce exposure of the nuclear medicine staff. Bearing in mind that the compromise in clinical practice is either to reduce the time of the scan or to reduce the patient dose, and that this depends mostly on whether a facility has a medical cyclotron or not, this work focuses on the overview of possibilities for potential based on appropriate clinical studies.

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Performance measurement of PSF modeling reconstruction (True X) on Siemens Biograph TruePoint TrueV PET/CT

Cited by 35 publications

References 15 publications

Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies

Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies

The Effect of Misregistration Between CT-Attenuation and PET-Emission Images in ¹³N-Ammonia Myocardial PET/CT

Need for Revising Patient Dose Protocols in Pet Medical Imaging Based on Novel Technology Improvements

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Performance measurement of PSF modeling reconstruction (True X) on Siemens Biograph TruePoint TrueV PET/CT

Cited by 35 publications

References 15 publications

Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies

Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies

The Effect of Misregistration Between CT-Attenuation and PET-Emission Images in 13N-Ammonia Myocardial PET/CT

Need for Revising Patient Dose Protocols in Pet Medical Imaging Based on Novel Technology Improvements

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The Effect of Misregistration Between CT-Attenuation and PET-Emission Images in ¹³N-Ammonia Myocardial PET/CT