Medical image fusion: A survey of the state of the art
AP James, BV Dasarathy - Information fusion, 2014 - Elsevier
Medical image fusion is the process of registering and combining multiple images from
single or multiple imaging modalities to improve the imaging quality and reduce …
single or multiple imaging modalities to improve the imaging quality and reduce …
Machine learning in prostate MRI for prostate cancer: current status and future opportunities
Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …
detection of prostate cancer have enabled its integration into clinical routines in the past two …
[HTML][HTML] Weakly-supervised convolutional neural networks for multimodal image registration
One of the fundamental challenges in supervised learning for multimodal image registration
is the lack of ground-truth for voxel-level spatial correspondence. This work describes a …
is the lack of ground-truth for voxel-level spatial correspondence. This work describes a …
NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics
SF Johnsen, ZA Taylor, MJ Clarkson, J Hipwell… - International journal of …, 2015 - Springer
Purpose NiftySim, an open-source finite element toolkit, has been designed to allow
incorporation of high-performance soft tissue simulation capabilities into biomedical …
incorporation of high-performance soft tissue simulation capabilities into biomedical …
Prostate segmentation: an efficient convex optimization approach with axial symmetry using 3-D TRUS and MR images
We propose a novel global optimization-based approach to segmentation of 3-D prostate
transrectal ultrasound (TRUS) and T2 weighted magnetic resonance (MR) images, enforcing …
transrectal ultrasound (TRUS) and T2 weighted magnetic resonance (MR) images, enforcing …
Accuracy of transperineal targeted prostate biopsies, visual estimation and image fusion in men needing repeat biopsy in the PICTURE trial
LAM Simmons, A Kanthabalan, M Arya… - The Journal of …, 2018 - auajournals.org
Purpose: We evaluated the detection of clinically significant prostate cancer using magnetic
resonance imaging targeted biopsies and compared visual estimation to image fusion …
resonance imaging targeted biopsies and compared visual estimation to image fusion …
Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy
Registration and fusion of magnetic resonance imaging (MRI) and transrectal ultrasound
(TRUS) of the prostate can provide guidance for prostate brachytherapy. However, accurate …
(TRUS) of the prostate can provide guidance for prostate brachytherapy. However, accurate …
[HTML][HTML] Real-time multimodal image registration with partial intraoperative point-set data
Abstract We present Free Point Transformer (FPT)–a deep neural network architecture for
non-rigid point-set registration. Consisting of two modules, a global feature extraction …
non-rigid point-set registration. Consisting of two modules, a global feature extraction …
Regions preserving edge enhancement for multisensor-based medical image fusion
K He, J Gong, L Xie, X Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Multimodal medical image fusion technology has been widely used in various applications
of clinical diagnosis, which aims to provide richer information by integrating effective …
of clinical diagnosis, which aims to provide richer information by integrating effective …
[HTML][HTML] A prospective development study investigating focal irreversible electroporation in men with localised prostate cancer: Nanoknife Electroporation Ablation …
Introduction Focal therapy may reduce the toxicity of current radical treatments while
maintaining the oncological benefit. Irreversible electroporation (IRE) has been proposed to …
maintaining the oncological benefit. Irreversible electroporation (IRE) has been proposed to …