Kristen A. Wangerin

104 Evaluation of whole body CD8+ T cell distribution using an 18 F-labeled PET tracer: phase 1 studies in patients with solid tumors and healthy volunteers

Kristen A. Wangerin, Yaron Raiter, Adrienne H. Brouwers, Todd E. Peterson et autres

Background [ 18F]GEH200521, a novel CD8-targeted VHH nanobody PET tracer, has been developed as a potential same-day imaging biomarker for visualizing whole-body CD8+ T cell distribution. Visualization of CD8+ T cell distribution may support evaluation of therapy mechanism of action and identification …

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Consistent performance between medical experts and non‐expert readers in forced‐choice lesion‐detection tasks with PET images

Craig K. Abbey, Sangtae Ahn, Muhan Shao, Darrin W. Byrd et autres

BACKGROUND: Labeled data are used to train, validate, and test deep learning model observers (DLMOs) as well as linear model observers, such as channelized Hotelling observers (CHOs), for image quality assessment in many imaging modalities, including PET imaging. Ideally, these annotations would …

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Comparison, Agreement, and Significance Cutoffs of 18 F-Flurpiridaz PET Myocardial Blood Flow Quantitation Methods and Software Packages

René R. Sevag Packard, Christopher J. Buckley, C. David Cooke, Jonathan B. Moody et autres

18F-flurpiridaz is a novel PET myocardial perfusion radiotracer with a high myocardial extraction fraction and low positron range, providing high-resolution images. Additionally, the linear relationship between 18F-flurpiridaz myocardial extraction and myocardial blood flow (MBF) over a wide range of flow values permits …

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Evaluating Automated Tools for Lesion Detection on 18 F Fluoroestradiol PET/CT Images and Assessment of Concordance with Standard-of-Care Imaging in Metastatic Breast Cancer

Renee Miller, Mark R Battle, Kristen A. Wangerin, Daniel T Huff et autres

An artificial intelligence model was trained to detect lesions on fluorine 18 ( 18 F)-fluoroestradiol (FES) PET/CT images and an automated concordance tool measured heterogeneity between 18 F-FES PET/CT and standard-of-care imaging.

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MYOCARDIAL BLOOD FLOW IN COMBINATION WITH VISUAL ASSESSMENT SIGNIFICANTLY IMPROVES SPECIFICITY WITH FLUPIRIDAZ (18F) PET MPI IN PATIENTS WITH SUSPECTED CORONARY ARTERY DISEASE

Christopher J. Buckley, Kristen A. Wangerin, Piotr J. Slomka, Serge D. Van Kriekinge et autres

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Toward widespread use of virtual trials in medical imaging innovation and regulatory science

Ehsan Abadi, Bruno Barufaldi, Miguel Ángel López Lago, Andreu Badal et autres

The rapid advancement in the field of medical imaging presents a challenge in keeping up to date with the necessary objective evaluations and optimizations for safe and effective use in clinical settings. These evaluations are traditionally done using clinical imaging trials, which …

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155 (PB143): A Phase 1 dose escalation study to evaluate whole body CD8+ T cell distribution using an 18F-labelled PET tracer in patients with solid tumors

Derk Jan de Groot, Adrienne H. Brouwers, Yaron Raiter, Kristen A. Wangerin et autres

Assessment of lesion insertion tool in pelvis PET/MR data with applications to attenuation correction method development

Yutaka Natsuaki, Andrew Palmera Leynes, Kristen A. Wangerin, Mahdjoub Hamdi et autres

BACKGROUND: In modern positron emission tomography (PET) with multi-modality imaging (e.g., PET/CT and PET/MR), the attenuation correction (AC) is the single largest correction factor for image reconstruction. One way to assess AC methods and other reconstruction parameters is to utilize software-based simulation …

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Synthetic PET via Domain Translation of 3-D MRI

Abhejit Rajagopal, Yutaka Natsuaki, Kristen A. Wangerin, Mahdjoub Hamdi et autres

Historically, patient datasets have been used to develop and validate various reconstruction algorithms for PET/MRI and PET/CT. To enable such algorithm development, without the need for acquiring hundreds of patient exams, in this article we demonstrate a deep learning technique to generate …

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Synthetic PET via Domain Translation of 3D MRI

Abhejit Rajagopal, Yutaka Natsuaki, Kristen A. Wangerin, Mahdjoub Hamdi et autres

Historically, patient datasets have been used to develop and validate various reconstruction algorithms for PET/MRI and PET/CT. To enable such algorithm development, without the need for acquiring hundreds of patient exams, in this paper we demonstrate a deep learning technique to generate …

Implementation and Image Quality Benefit of a Hybrid-Space PET Point Spread Function

Timothy W. Deller, Sangtae Ahn, Floris P. Jansen, Georg A.K. Schramm et autres

High resolution PET imaging is being driven by recent advances in both scanner hardware and image reconstruction. As a result, images are being reconstructed with smaller pixel sizes and little or no post-reconstruction filtering. In certain circumstances, this combination can lead to …

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Evaluation of attenuation correction in PET/MRI with synthetic lesion insertion

Mahdjoub Hamdi, Yutaka Natsuaki, Kristen A. Wangerin, Hongyu An et autres

Purpose: One major challenge facing simultaneous positron emission tomography (PET)/ magnetic resonance imaging (MRI) is PET attenuation correction (AC) measurement and evaluation of its accuracy. There is a crucial need for the evaluation of current and emergent PET AC methodologies in terms …

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