Conveners
Monday Morning Session
- Wojciech Krzemień (NCBJ)
The lecture will concern new technologies for Total Body PET imaging.
We modify the time-of-flight maximum likelihood expectation maximisation (TOF MLEM) image reconstruction algorithm by an updated model for the system response matrix (SRM) of the total-body Jagiellonian PET (J-PET) scanners, which modular multi-layer geometry complicates SRM estimation and requires more computational power to calculate correction factors [1].
The elongated plastic...
X-ray microtomography (micro-CT) is a well establised nondestructive 3D method for small sample internal structure imaging. For over 20 years, micro-CT is known as a golden standard in bone microarchitecture analysis, as an alternative to histological sectioning method for preclinical research [1, 2]. Micro-CT surpasses histological analysis because it provides 3D information with several...
Recently, Convolutional Neural Networks (CNNs) [1] have achieved state-of-the-art performance in many areas including medical sciences, and are the method of choice commonly used for data recognition or classification. CNNs have proven to work most efficiently on 2-dimensional data that are in form of images.
In case of Positron Emission Tomography (PET) [2,3] studies, CNN may be...
We will describe our experiences regarding dosimetry in radionuclide therapy (Lu177 and SIRT) performed at our institution. Dose estimation from post and per-treatment SPECT images is performed via dose-rate computation with Monte-Carlo simulation (Gate/Geant4). We will also describe current investigations of deep learning to speed up Monte Carlo simulations.
