Virtual clinical trials in medical imaging: a review
The accelerating complexity and variety of medical imaging devices and methods have
outpaced the ability to evaluate and optimize their design and clinical use. This is a …
outpaced the ability to evaluate and optimize their design and clinical use. This is a …
Application of the 4-D XCAT phantoms in biomedical imaging and beyond
The four-dimensional (4-D) eXtended CArdiac-Torso (XCAT) series of phantoms was
developed to provide accurate computerized models of the human anatomy and physiology …
developed to provide accurate computerized models of the human anatomy and physiology …
MRXCAT: Realistic numerical phantoms for cardiovascular magnetic resonance
L Wissmann, C Santelli, WP Segars… - Journal of Cardiovascular …, 2014 - Springer
Background Computer simulations are important for validating novel image acquisition and
reconstruction strategies. In cardiovascular magnetic resonance (CMR), numerical …
reconstruction strategies. In cardiovascular magnetic resonance (CMR), numerical …
A virtual imaging platform for multi-modality medical image simulation
This paper presents the Virtual Imaging Platform (VIP), a platform accessible at http://vip.
creatis. insa-lyon. fr to facilitate the sharing of object models and medical image simulators …
creatis. insa-lyon. fr to facilitate the sharing of object models and medical image simulators …
A high-resolution atlas and statistical model of the human heart from multislice CT
C Hoogendoorn, N Duchateau… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Atlases and statistical models play important roles in the personalization and simulation of
cardiac physiology. For the study of the heart, however, the construction of comprehensive …
cardiac physiology. For the study of the heart, however, the construction of comprehensive …
Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases
N Duchateau, M Sermesant… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Collecting large databases of annotated medical images is crucial for the validation and
testing of feature extraction, statistical analysis, and machine learning algorithms. Recent …
testing of feature extraction, statistical analysis, and machine learning algorithms. Recent …
A framework for the generation of realistic synthetic cardiac ultrasound and magnetic resonance imaging sequences from the same virtual patients
The use of synthetic sequences is one of the most promising tools for advanced in silico
evaluation of the quantification of cardiac deformation and strain through 3-D ultrasound …
evaluation of the quantification of cardiac deformation and strain through 3-D ultrasound …
4D semantic cardiac magnetic resonance image synthesis on XCAT anatomical model
S Abbasi-Sureshjani, S Amirrajab… - … Imaging with Deep …, 2020 - proceedings.mlr.press
We propose a hybrid controllable image generation method to synthesize anatomically
meaningful 3D+ t labeled Cardiac Magnetic Resonance (CMR) images. Our hybrid method …
meaningful 3D+ t labeled Cardiac Magnetic Resonance (CMR) images. Our hybrid method …
Generation of synthetic but visually realistic time series of cardiac images combining a biophysical model and clinical images
We propose a new approach for the generation of synthetic but visually realistic time series
of cardiac images based on an electromechanical model of the heart and real clinical 4-D …
of cardiac images based on an electromechanical model of the heart and real clinical 4-D …
MRXCAT2. 0: Synthesis of realistic numerical phantoms by combining left-ventricular shape learning, biophysical simulations and tissue texture generation
Background Standardised performance assessment of image acquisition, reconstruction
and processing methods is limited by the absence of images paired with ground truth …
and processing methods is limited by the absence of images paired with ground truth …