Conveners
Poster session
- Alberto Del Guerra
- Juan José Vaquero
The combination of positron emission tomography (PET) and magnetic resonance imaging (MR) allows the simultaneous scanning of a patient's anatomy as well as physiology. This setup comes with difficulties, as the coil hardware (HW) that is used for MR-acquisition attenuates the photons which are acquired by PET. Disregarding this attenuation can lead to an underestimation of accumulated...
Radiomics, the term given to a feature-based approach to image analysis, suffers when used with inherently noisy PET data due to the convoluted derivation of many features and an overall lack of uncertainty provision. The noise equivalent count rate (NECR) is a scanner- and geometry-dependent metric which is primarily used to verify scanner performance. The characteristic variation of the NECR...
The Synergistic Image Reconstruction Framework (SIRF) is a research tool for reconstructing data from multiple imaging modalities, currently most prominently PET and MR. Included are acquisition models, reconstruction algorithms, registration tools, and regularisation models. In this work, we briefly list current capabilities and demonstrate the main new feature added since SIRF 3.1:...
Deep Learning based approaches for automated analysis of tomographic image data are drawing ever increasing attention in Radiology and Nuclear Medicine. With the advent of the new generation of PET scanners with massively enlarged axial field of view (“total body PET”) the importance of integrating such approaches into clinical workflows will further increase. In the present study we report on...
The iPET prototype, based on the EasyPET technology, is an affordable preclinical PET scanner capable of real-time high quality in-vivo images. While the high price of preclinical PET scanners makes them unaffordable to many research centers, easyPET-based systems, using an innovative scanning method based on two rotation shafts for the movement of detector arrays, reduce the overall costs...
The brain of an in vivo rat has been imaged with 18F-Fluorodeoxyglucose (FDG) by means of the SAFIR-I PET insert, at injected activities of 29.6MBq and 314.6MBq. A measurement of a 50ml Falcon tube filled with a solution of FDG and water at 50MBq was used as approximate quantitative calibration of image voxel values. Based on the data, time-activity curves (TACs) have been generated for the...
This work presents the Monte Carlo characterization of a total-body rat preclinical scanner obtained through experimental detectors characterization and simulated phantom
acquisitions. The proposed scanner scanner has a 112.8 mm inner diameter and 357 mm axial FOV which is able to cover the whole rat body. The scanner architecture consists of 7 rings each of which has 8 BGO detectors. Each...
Positron Emission Tomography (PET) research in the small animal (pre-clinical) field is driven by improving spatial resolution and sensitivity. Conventional PET scanners are built of multiple detector modules placed in a cylindrical geometry. The unavoidable gaps between the detector modules decrease sensitivity and degrade spatial resolution towards the edges of the system field of view...
The PETITION (PET for InTensive care units and Innovative protON therapy) collaboration is currently developing two Positron Emission Tomography (PET) systems with a focus on new clinical applications. Both PET scanners are dedicated brain systems with 179 mm axial field of view and an inner diameter of 300 mm. The first system (ICU-system) is a mobile PET scanner. It will be moved to the...
Organs-on-Chips (OOCs), microdevices mimicking in vivo organs, find growing applications in disease modeling and drug discovery. With the increasing number of uses comes a strong demand for imaging capabilities of OOCs. Positron Emission Tomography (PET) would be ideal for OOC imaging, however, current PET systems have insufficient spatial resolution for this task.
In this work, we propose...
The recent rise of Proton Therapy as a cancer treatment option motivates the need for sophisticated imaging to monitor the position of the proton beam deposition in a patient. Using Time-of-Flight (ToF) PET imaging, the project seeks to provide information of beam location and intensity in a patient by monitoring the presence of positron emitting isotopes produced due to energy deposition of...
Modular J-PET as the latest prototype of J-PET collaboration, utilizes the unique detection principles thanks to its distinguished detector arrangements. It consists of 24 detection units called modules which are arranged in regular 24-sided polygon circumscribing a circle which provides 50 cm of AFOV. The one advantages of this prototype is an arrangement of scintillators and photo-detectors...
We report the reconstructed results of the simulated NEMA IEC and static XCAT phantoms, obtained using the original time-of-flight maximum likelihood expectation maximisation (TOF MLEM) algorithm, designed for total-body modular Jagiellonian PET (J-PET) scanners. The continuous J-PET detectors allow the system response matrix (SRM) to be defined as a set of log-polynomial models, derived from...
This preliminary work investigates how PET images are affected both quantitatively and qualitatively by the modification of spatial resolution and SNR of the MR sequences for AC (MRAC). Forty-six women with breast cancer underwent 18F-FDG PET/MR study using the 3T SIGNA PET/MR (General Electric Healthcare, Waukesha, WI, US) scanner. During breast prone PET scan, standard MRAC acquisition has...
The use of simultaneous hybrid PET/MRI is highly beneficial in children as it allows for a one-stop examination that limits the scanning procedures, the need for a second sedation and also reduces the radiation dose compared to PET/CT. The attenuation correction, in the brain, is performed with Atlas, with Zero Echo Time/Ultrashort Echo Time (ZTE/UTE) sequences or, more recently, with Deep...
This study aimed to explore the radiomic features from PET images to detect active cardiac sarcoidosis (CS). Methods: Forty sarcoid patients and twenty-nine controls were scanned using FDG PET-CMR. Five feature classes were compared between the groups. From the PET images alone, two different segmentations were drawn. For segmentation A, a region of interest (ROI) was manually delineated for...
Analysis of Positron Emission Tomography (PET) with 18F-Fluorodeoxyglucose (FDG) medical images has proven to be an effective and efficient way for the diagnosis and therapy monitoring of patients with Metastatic Melanoma. The diagnosis and the assessment of Metastatic Melanoma requires the identification and quantification of tumor lesions. However, manual labeling of tumor lesions from 3D...
