Search Results - "Wollenweber, Scott"

The QIBA Profile for FDG PET/CT as an Imaging Biomarker Measuring Response to Cancer Therapy by Kinahan, Paul E, Perlman, Eric S, Sunderland, John J, Subramaniam, Rathan, Wollenweber, Scott D, Turkington, Timothy G, Lodge, Martin A, Boellaard, Ronald, Obuchowski, Nancy A, Wahl, Richard L

“…The Quantitative Imaging Biomarkers Alliance (QIBA) Profile for fluorodeoxyglucose (FDG) PET/CT imaging was created by QIBA to both characterize and reduce the…”
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Quantitative comparison of OSEM and penalized likelihood image reconstruction using relative difference penalties for clinical PET by Ahn, Sangtae, Ross, Steven G, Asma, Evren, Miao, Jun, Jin, Xiao, Cheng, Lishui, Wollenweber, Scott D, Manjeshwar, Ravindra M

“…Ordered subset expectation maximization (OSEM) is the most widely used algorithm for clinical PET image reconstruction. OSEM is usually stopped early and…”
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Phantom and methodology for comparison of small lesion detectability in PET by Wollenweber, Scott D., Alessio, Adam M., Kinahan, Paul E.

“…ABSTRACT Purpose The main goal of this work is to describe a phantom design, data acquisition and data analysis methodology enabling comparison of small lesion…”
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PET/MR imaging of bone lesions – implications for PET quantification from imperfect attenuation correction by Samarin, Andrei, Burger, Cyrill, Wollenweber, Scott D., Crook, David W., Burger, Irene A., Schmid, Daniel T., von Schulthess, Gustav K., Kuhn, Felix P.

“…Purpose Accurate attenuation correction (AC) is essential for quantitative analysis of PET tracer distribution. In MR, the lack of cortical bone signal makes…”
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Deep learning–based time-of-flight (ToF) image enhancement of non-ToF PET scans by Mehranian, Abolfazl, Wollenweber, Scott D., Walker, Matthew D., Bradley, Kevin M., Fielding, Patrick A., Huellner, Martin, Kotasidis, Fotis, Su, Kuan-Hao, Johnsen, Robert, Jansen, Floris P., McGowan, Daniel R.

“…Purpose To improve the quantitative accuracy and diagnostic confidence of PET images reconstructed without time-of-flight (ToF) using deep learning models…”
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Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise by Mehranian, Abolfazl, Wollenweber, Scott D., Walker, Matthew D., Bradley, Kevin M., Fielding, Patrick A., Su, Kuan-Hao, Johnsen, Robert, Kotasidis, Fotis, Jansen, Floris P., McGowan, Daniel R.

“…Purpose To enhance the image quality of oncology [ 18 F]-FDG PET scans acquired in shorter times and reconstructed by faster algorithms using deep neural…”
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A phantom design for assessment of detectability in PET imaging by Wollenweber, Scott D., Alessio, Adam M., Kinahan, Paul E.

“…Purpose: The primary clinical role of positron emission tomography (PET) imaging is the detection of anomalous regions of 18F-FDG uptake, which are often…”
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A deep learning anthropomorphic model observer for a detection task in PET by Shao, Muhan, Byrd, Darrin W., Mitra, Jhimli, Behnia, Fatemeh, Lee, Jean H., Iravani, Amir, Sadic, Murat, Chen, Delphine L., Wollenweber, Scott D., Abbey, Craig K., Kinahan, Paul E., Ahn, Sangtae

“…Background Lesion detection is one of the most important clinical tasks in positron emission tomography (PET) for oncology. An anthropomorphic model observer…”
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Data driven surrogate signal extraction for dynamic PET using selective PCA: time windows versus the combination of components by Whitehead, Alexander C, Su, Kuan-Hao, Emond, Elise C, Biguri, Ander, Brusaferri, Ludovica, Machado, Maria, Porter, Joanna C, Garthwaite, Helen, Wollenweber, Scott D, McClelland, Jamie R, Thielemans, Kris

“…Respiratory motion correction is beneficial in positron emission tomography (PET), as it can reduce artefacts caused by motion and improve quantitative…”
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Sign determination methods for the respiratory signal in data-driven PET gating by Bertolli, Ottavia, Arridge, Simon, Wollenweber, Scott D, Stearns, Charles W, Hutton, Brian F, Thielemans, Kris

“…Patient respiratory motion during PET image acquisition leads to blurring in the reconstructed images and may cause significant artifacts, resulting in…”
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Technical Note: Rod phantom analysis for comparison of PET detector sampling and reconstruction methods by Wollenweber, Scott D., Kemp, Brad J.

“…Purpose: This investigation aimed to develop a scanner quantification performance methodology and compare multiple metrics between two scanners under different…”
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Quiescent period respiratory gating for PET/CT by Liu, Chi, Alessio, Adam, Pierce, Larry, Thielemans, Kris, Wollenweber, Scott, Ganin, Alexander, Kinahan, Paul

“…Purpose: To minimize respiratory motion artifacts, this work proposes quiescent period gating (QPG) methods that extract PET data from the end-expiration…”
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Sequential deep learning image enhancement models improve diagnostic confidence, lesion detectability, and image reconstruction time in PET by Dedja, Meghi, Mehranian, Abolfazl, Bradley, Kevin M., Walker, Matthew D., Fielding, Patrick A., Wollenweber, Scott D., Johnsen, Robert, McGowan, Daniel R.

“…Background Investigate the potential benefits of sequential deployment of two deep learning (DL) algorithms namely DL-Enhancement (DLE) and DL-based…”
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Dose Optimization in TOF-PET/MR Compared to TOF-PET/CT by Queiroz, Marcelo A, Delso, Gaspar, Wollenweber, Scott, Deller, Timothy, Zeimpekis, Konstantinos, Huellner, Martin, de Galiza Barbosa, Felipe, von Schulthess, Gustav, Veit-Haibach, Patrick

“…To evaluate the possible activity reduction in FDG-imaging in a Time-of-Flight (TOF) PET/MR, based on cross-evaluation of patient-based NECR (noise equivalent…”
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Impact of CT attenuation correction method on quantitative respiratory‐correlated (4D) PET/CT imaging by Nyflot, Matthew J., Lee, Tzu‐Cheng, Alessio, Adam M., Wollenweber, Scott D., Stearns, Charles W., Bowen, Stephen R., Kinahan, Paul E.

“…Purpose: Respiratory‐correlated positron emission tomography (PET/CT) 4D PET/CT is used to mitigate errors from respiratory motion; however, the optimal CT…”
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Characterization of the impact to PET quantification and image quality of an anterior array surface coil for PET/MR imaging by Wollenweber, Scott D., Delso, Gaspar, Deller, Timothy, Goldhaber, David, Hüllner, Martin, Veit-Haibach, Patrick

“…Object The aim of this study was to determine the impact to PET quantification, image quality and possible diagnostic impact of an anterior surface array used…”
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Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies by Sah, Bert-Ram, Stolzmann, Paul, Delso, Gaspar, Wollenweber, Scott D, Hüllner, Martin, Hakami, Yahya A, Queiroz, Marcelo A, Barbosa, Felipe de Galiza, von Schulthess, Gustav K, Pietsch, Carsten, Veit-Haibach, Patrick

“…PURPOSETo investigate the clinical performance of a block sequential regularized expectation maximization (BSREM) penalized likelihood reconstruction algorithm…”
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Evaluation of the Accuracy and Robustness of a Motion Correction Algorithm for PET Using a Novel Phantom Approach by Wollenweber, S. D., Gopalakrishnan, G., Thielemans, K., Manjeshwar, R. M.

“…We introduce the use of a novel physical phantom to quantify the performance of a motion-correction algorithm. The goal of the study was to assess a PET-PET…”
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Detection of Lung Density Variations With Principal Component Analysis in PET by Bertolli, Ottavia, Cuplov, Vesna, Arridge, Simon, Stearns, Charles W, Wollenweber, Scott D, Hutton, Brian F, Thielemans, Kris

“…Respiratory motion generates lung volume changes during the breathing cycle. These affect the lung tissue density and therefore influence both the attenuation…”
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Evaluation of lesion detectability in positron emission tomography when using a convergent penalized likelihood image reconstruction method by Wangerin, Kristen A, Ahn, Sangtae, Wollenweber, Scott, Ross, Steven G, Kinahan, Paul E, Manjeshwar, Ravindra M

“…We have previously developed a convergent penalized likelihood (PL) image reconstruction algorithm using the relative difference prior (RDP) and showed that it…”
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