When dealing with absolute quantification of the tracer kinetics in Positron Emission Tomography (PET), one of the most reliable family of methods are the physiologically-consistent compartmental ODE models [5]. In this work we introduce the kinetic neural Network (kNN), a novel technique for absolute quantification inspired by compartmental models and Neural Networks commonly used in Deep Learning. The ODE model’s explicit solution is computed symbolically with the Python package sympy [3], by using the Pade approximation of the exponential matrix [1]. The model is evaluated voxel-by- voxel with PET data and fitted using the Particle Swarm Optimization (PSO) [2, 4] technique. We applied this method on a set of PET images of the same subje...
Decryption of brain images is the basis for the necessary translation of the findings from imaging t...
Brain disorders involving dysfunctions in neurotransmissionconstitute one of the most prevalent heal...
Abstract—Positron emission tomography (PET) is an important tool for enabling quantification of huma...
Positron Emission Tomography (PET) allows to study, in vivo, important biological processes in both ...
In dynamic brain positron emission tomography (PET) studies, acquiring a time series of images, typi...
Positron Emission Tomography (PET) makes it possible to image molecular targets, in vivo, with high ...
1. Introduction Positron Emission Tomography (PET) is a tomographic method that allows imaging of pa...
A kinetic modelling approach for the quantification of in vivo tracer studies with dynamic positron ...
A kinetic modeling approach for the quantification of in vivo tracer studies with dynamic positron e...
Standard quantification of Positron Emission Tomography (PET) data requires a long acquisition time ...
Medical imaging with positron emission tomography (PET) plays an important role in the detection, st...
Tracer kinetic modelling based on dynamic PET is an important field of Nuclear Medicine for quantita...
An experimental study using artificial neural network (ANN) is carried out to achieve the optimal ne...
This study investigates the possibility of using an Artificial Neural Network (ANN) for reconstructi...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2015, Tutors: ...
Decryption of brain images is the basis for the necessary translation of the findings from imaging t...
Brain disorders involving dysfunctions in neurotransmissionconstitute one of the most prevalent heal...
Abstract—Positron emission tomography (PET) is an important tool for enabling quantification of huma...
Positron Emission Tomography (PET) allows to study, in vivo, important biological processes in both ...
In dynamic brain positron emission tomography (PET) studies, acquiring a time series of images, typi...
Positron Emission Tomography (PET) makes it possible to image molecular targets, in vivo, with high ...
1. Introduction Positron Emission Tomography (PET) is a tomographic method that allows imaging of pa...
A kinetic modelling approach for the quantification of in vivo tracer studies with dynamic positron ...
A kinetic modeling approach for the quantification of in vivo tracer studies with dynamic positron e...
Standard quantification of Positron Emission Tomography (PET) data requires a long acquisition time ...
Medical imaging with positron emission tomography (PET) plays an important role in the detection, st...
Tracer kinetic modelling based on dynamic PET is an important field of Nuclear Medicine for quantita...
An experimental study using artificial neural network (ANN) is carried out to achieve the optimal ne...
This study investigates the possibility of using an Artificial Neural Network (ANN) for reconstructi...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2015, Tutors: ...
Decryption of brain images is the basis for the necessary translation of the findings from imaging t...
Brain disorders involving dysfunctions in neurotransmissionconstitute one of the most prevalent heal...
Abstract—Positron emission tomography (PET) is an important tool for enabling quantification of huma...