Does consensus contours improve robustness and accuracy on \(^{18}\)F-FDG PET imaging tumor delineation?
The aim of this study is to explore the robustness and accuracy of consensus contours with 225 nasopharyngeal carcinoma (NPC) clinical cases and 13 extended cardio-torso simulated lung tumors (XCAT) based on 2... (Source: EJNMMI Physics)
Source: EJNMMI Physics - March 13, 2023 Category: Radiology Authors: Mingzan Zhuang, Zhifen Qiu and Yunlong Lou Tags: Original research Source Type: research
Performance evaluation of SimPET-L and SimPET-XL: MRI-compatible small-animal PET systems with rat-body imaging capability
SimPET-L and SimPET-XL have recently been introduced with increased transaxial fields of view (FOV) compared with their predecessors (SimPET ™ and SimPET-X), enabling whole-body positron emission tomography (PE... (Source: EJNMMI Physics)
Source: EJNMMI Physics - March 7, 2023 Category: Radiology Authors: Minjee Seo, Guen Bae Ko, Kyeong Yun Kim, Jeong-Whan Son, Jung Woo Byun, Yun-Sang Lee, Kyeong Min Kim, Jang Woo Park, Kipom Kim, Taekwan Lee and Jae Sung Lee Tags: Original research Source Type: research
Image-derived input functions from dynamic 15O –water PET scans using penalised reconstruction
Quantitative positron emission tomography (PET) scans of the brain typically require arterial blood sampling but this is complicated and logistically challenging. One solution to remove the need for arterial b... (Source: EJNMMI Physics)
Source: EJNMMI Physics - March 7, 2023 Category: Radiology Authors: Peter Young, Lieuwe Appel, Andreas Tolf, Savvas Kosmidis, Joachim Burman, Anna Rieckmann, Michael Sch öll and Mark Lubberink Tags: Original research Source Type: research
Optimal clinical protocols for total-body 18F-FDG PET/CT examination under different activity administration plans
Highly sensitive digital total-body PET/CT scanners (uEXPLORER) have great potential for clinical applications and fundamental research. Given their increasing sensitivity, low-dose scanning or snapshot imagin... (Source: EJNMMI Physics)
Source: EJNMMI Physics - February 18, 2023 Category: Radiology Authors: Yanchao Huang, Meng Wang, Li Jiang, Lijuan Wang, Li Chen, Qiaoyu Wang, Jiatai Feng, Jingyi Wang, Wanbang Xu, Hubing Wu and Yanjiang Han Tags: Original research Source Type: research
Correction: A novel intelligent radiomic analysis of perfusion SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patients
(Source: EJNMMI Physics)
Source: EJNMMI Physics - February 17, 2023 Category: Radiology Authors: Sonia Baeza, Debora Gil, Ignasi Garcia-Oliv é, Maite Salcedo-Pujantell, Jordi Deportós, Carles Sanchez, Guillermo Torres, Gloria Moragas and Antoni Rosell Tags: Correction Source Type: research
Single-time-point dosimetry using model selection and nonlinear mixed-effects modelling: a proof of concept
This project aims to develop and evaluate a method for accurately determining time-integrated activities (TIAs) in single-time-point (STP) dosimetry for molecular radiotherapy. It performs a model selection (M... (Source: EJNMMI Physics)
Source: EJNMMI Physics - February 10, 2023 Category: Radiology Authors: Deni Hardiansyah, Ade Riana, Ambros J. Beer and Gerhard Glatting Tags: Original research Source Type: research
Investigation of image-based lesion and kidney dosimetry protocols for 177Lu-PSMA-I & T therapy with and without a late SPECT/CT acquisition
177Lu-PSMA therapy has been successfully used to prolong the survival of patients with metastatic castration-resistant prostate cancer. Patient-specific dosimetry based on serial quantitative SPECT/CT imaging can... (Source: EJNMMI Physics)
Source: EJNMMI Physics - February 9, 2023 Category: Radiology Authors: Sandra Resch, Sarah Takayama Fouladgar, Mathias Zacherl, Gabriel T. Sheikh, Grigory Liubchenko, Mikhail Rumiantcev, Lena M. Unterrainer, Vera Wenter, Peter Bartenstein, Sibylle I. Ziegler, Harun Ilhan, Leonie Beyer, Guido B öning and Astrid Delker Tags: Original research Source Type: research
Comparison of deep learning-based denoising methods in cardiac SPECT
Myocardial perfusion SPECT (MPS) images often suffer from artefacts caused by low-count statistics. Poor-quality images can lead to misinterpretations of perfusion defects. Deep learning (DL)-based methods hav... (Source: EJNMMI Physics)
Source: EJNMMI Physics - February 8, 2023 Category: Radiology Authors: Antti Sohlberg, Tuija Kangasmaa, Chris Constable and Antti Tikkakoski Tags: Original research Source Type: research
A revised compartmental model for biokinetics and dosimetry of 2-[18F]FDG
The aim was to review available biokinetic data, collect own experimental data, and propose an updated compartmental model for 2-[18F]FDG in the frame of the revision of the ICRP report on dose coefficients for r... (Source: EJNMMI Physics)
Source: EJNMMI Physics - February 8, 2023 Category: Radiology Authors: Alexandra Kamp, Martin Andersson, Sigrid Leide-Svegborn, Dietmar No βke, Sören Mattsson and Augusto Giussani Tags: Original research Source Type: research
Dosimetric impact of 3D motion-compensated SPECT reconstruction for SIRT planning
In this study, we evaluated on patient data the dosimetric... (Source: EJNMMI Physics)
Source: EJNMMI Physics - February 7, 2023 Category: Radiology Authors: Laure Vergnaud, Antoine Robert, Thomas Baudier, Sandrine Parisse-Di Martino, Philippe Boissard, Simon Rit, Jean-No ël Badel and David Sarrut Tags: Original research Source Type: research
Maximum tumor-absorbed dose measured by voxel-based multicompartmental dosimetry as a response predictor in yttrium-90 radiation segmentectomy for hepatocellular carcinoma
The objective of this study is to assess the utility of voxel-ba... (Source: EJNMMI Physics)
Source: EJNMMI Physics - February 6, 2023 Category: Radiology Authors: Javier Orcajo Rinc ón, Amanda Rotger Regi, Ana Matilla Peña, Laura Reguera Berenguer, Manuel González Leyte, Laura Carrión Martín, Jaime Atance García De La Santa, Miguel Echenagusia Boyra, Cristina González Ruiz, Arturo Colón Rodríguez and Juan Tags: Original Research Source Type: research
Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies
Deep learning (DL) has a growing popularity and is a well-established method of artificial intelligence for data processing, especially for images and videos. Its applications in nuclear medicine are broad and... (Source: EJNMMI Physics)
Source: EJNMMI Physics - January 27, 2023 Category: Radiology Authors: Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Anna Feleki, Serafeim Moustakidis and Elpiniki I. Papageorgiou Tags: Review Source Type: research
Towards accurate 177Lu SPECT activity quantification and standardization using lesion-to-background voxel ratio
Conventional calibration of the gamma camera consists of the calculation of calibration factors (CFs) (ratio of counts/cc and true concentration activity) as the function of the volume of interest (VOI). Howev... (Source: EJNMMI Physics)
Source: EJNMMI Physics - January 23, 2023 Category: Radiology Authors: Stanislav Raskin, Dan Gamliel, David Abookasis, Simona Ben-Haim and Alexandre Chicheportiche Tags: Original research Source Type: research
Impact of γ factor in the penalty function of Bayesian penalized likelihood reconstruction (Q.Clear) to achieve high-resolution PET images
The Bayesian penalized likelihood PET reconstruction (BPL) algorithm, Q.Clear (GE Healthcare), has recently been clinically applied to clinical image reconstruction. The BPL includes a relative difference pena... (Source: EJNMMI Physics)
Source: EJNMMI Physics - January 22, 2023 Category: Radiology Authors: Kenta Miwa, Tokiya Yoshii, Kei Wagatsuma, Shogo Nezu, Yuto Kamitaka, Tensho Yamao, Rinya Kobayashi, Shohei Fukuda, Yu Yakushiji, Noriaki Miyaji and Kenji Ishii Tags: Original research Source Type: research
Dealing with dry waste disposal issues associated with 177mLu impurities: a long-term challenge for nuclear medicine departments
A strategy for management of radioactive waste associated with 177Lu-dotatate (Lutathera ®) treatments was established in our institution, based on predicted storage times of 3–5 years extrapolated from the result... (Source: EJNMMI Physics)
Source: EJNMMI Physics - January 9, 2023 Category: Radiology Authors: Sylviane Prevot, Inna Dyga ï-Cochet, Jean-Marc Riedinger, Jean-Marc Vrigneaud, Myriam Quermonne, Matthieu Gallet and Alexandre Cochet Tags: Short communication Source Type: research
