A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics
Background and objectives Over the past two decades, medical imaging has been
extensively apply to diagnose diseases. Medical experts continue to have difficulties for …
extensively apply to diagnose diseases. Medical experts continue to have difficulties for …
[HTML][HTML] Multimodal medical image fusion towards future research: A review
Medical imaging has been widely used to diagnose various disorders over the past 20
years. Primary challenges in medicine include accurate disease identification and improved …
years. Primary challenges in medicine include accurate disease identification and improved …
Dixon-VIBE deep learning (DIVIDE) pseudo-CT synthesis for pelvis PET/MR attenuation correction
A Torrado-Carvajal, J Vera-Olmos… - Journal of nuclear …, 2019 - Soc Nuclear Med
Whole-body attenuation correction (AC) is still challenging in combined PET/MR scanners.
We describe Dixon-VIBE Deep Learning (DIVIDE), a deep-learning network that allows …
We describe Dixon-VIBE Deep Learning (DIVIDE), a deep-learning network that allows …
Fast patch-based pseudo-CT synthesis from T1-weighted MR images for PET/MR attenuation correction in brain studies
A Torrado-Carvajal, JL Herraiz, E Alcain… - Journal of Nuclear …, 2016 - Soc Nuclear Med
Attenuation correction in hybrid PET/MR scanners is still a challenging task. This paper
describes a methodology for synthesizing a pseudo-CT volume from a single T1-weighted …
describes a methodology for synthesizing a pseudo-CT volume from a single T1-weighted …
Multi-atlas attenuation correction supports full quantification of static and dynamic brain PET data in PET-MR
In simultaneous PET-MR, attenuation maps are not directly available. Essential for absolute
radioactivity quantification, they need to be derived from MR or PET data to correct for …
radioactivity quantification, they need to be derived from MR or PET data to correct for …
Automated segmentation of knee articular cartilage: Joint deep and hand-crafted learning-based framework using diffeomorphic mapping
Segmentation of knee articular cartilage tissue (ACT) from 3D magnetic resonance images
(MRIs) is a fundamental task in assessing knee osteoarthritis (KOA). However, automated …
(MRIs) is a fundamental task in assessing knee osteoarthritis (KOA). However, automated …
Simultaneous total intracranial volume and posterior fossa volume estimation using multi‐atlas label fusion
Total intracranial volume (TICV) is an essential covariate in brain volumetric analyses. The
prevalent brain imaging software packages provide automatic TICV estimates. FreeSurfer …
prevalent brain imaging software packages provide automatic TICV estimates. FreeSurfer …
Franken-ct: Head and neck mr-based pseudo-ct synthesis using diverse anatomical overlapping mr-ct scans
Featured Application The Franken-CT approach allows synthesizing pseudo-CT images
from using diverse anatomical overlapping MR-CT datasets as a potential application in …
from using diverse anatomical overlapping MR-CT datasets as a potential application in …
Recent advances in combined Positron Emission Tomography and Magnetic Resonance Imaging
P Galve, B Rodriguez-Vila, JL Herraiz… - Journal of …, 2024 - iopscience.iop.org
Hybrid imaging modalities combine two or more medical imaging techniques offering
exciting new possibilities to image the structure, function and biochemistry of the human …
exciting new possibilities to image the structure, function and biochemistry of the human …
How to pseudo-CT: a comparative review of deep convolutional neural network architectures for CT synthesis
J Vera-Olmos, A Torrado-Carvajal… - Applied Sciences, 2022 - mdpi.com
This paper provides an overview of the different deep convolutional neural network
(DCNNs) architectures that have been investigated in the past years for the generation of …
(DCNNs) architectures that have been investigated in the past years for the generation of …