A review on medical image registration as an optimization problem
G Song, J Han, Y Zhao, Z Wang… - Current Medical Imaging, 2017 - ingentaconnect.com
Objective: In the course of clinical treatment, several medical media are required by a
physician in order to provide accurate and complete information about a patient. Medical …
physician in order to provide accurate and complete information about a patient. Medical …
Contextual atlas regression forests: multiple-atlas-based automated dose prediction in radiation therapy
C McIntosh, TG Purdie - IEEE transactions on medical imaging, 2015 - ieeexplore.ieee.org
Radiation therapy is an integral part of cancer treatment, but to date it remains highly
manual. Plans are created through optimization of dose volume objectives that specify intent …
manual. Plans are created through optimization of dose volume objectives that specify intent …
Medical image registration: A review
620 Medical Imaging example, provide structural information of our body (eg, an anatomical
map), but do not convey functional information*(ie, relating to metabolic functions of an …
map), but do not convey functional information*(ie, relating to metabolic functions of an …
Weakly supervised learning of metric aggregations for deformable image registration
E Ferrante, PK Dokania, RM Silva… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Deformable registration has been one of the pillars of biomedical image computing.
Conventional approaches refer to the definition of a similarity criterion that, once endowed …
Conventional approaches refer to the definition of a similarity criterion that, once endowed …
Deformable registration through learning of context-specific metric aggregation
E Ferrante, PK Dokania, R Marini… - Machine Learning in …, 2017 - Springer
We propose a novel weakly supervised discriminative algorithm for learning context specific
registration metrics as a linear combination of conventional similarity measures …
registration metrics as a linear combination of conventional similarity measures …
Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements
We extend Bayesian models of non-rigid image registration to allow not only for the
automatic determination of registration parameters (such as the trade-off between image …
automatic determination of registration parameters (such as the trade-off between image …
Multimodality image registration using local linear embedding and hybrid entropy
Q Li, H Ji - Neurocomputing, 2013 - Elsevier
Robust registration of multimodality medical images has become an active area of research
in medical image processing and applications. Although mutual information (MI) has been …
in medical image processing and applications. Although mutual information (MI) has been …
Evaluating registrations of serial sections with distortions of the ground truths
O Lobachev, T Funatomi, A Pfaffenroth, R Förster… - Ieee …, 2021 - ieeexplore.ieee.org
Registration of histological serial sections is a challenging task. Serial sections exhibit
distortions and damage from sectioning. Missing information on how the tissue looked …
distortions and damage from sectioning. Missing information on how the tissue looked …
Random walks with efficient search and contextually adapted image similarity for deformable registration
LYW Tang, G Hamarneh - … Conference, Nagoya, Japan, September 22-26 …, 2013 - Springer
We develop a random walk-based image registration method [1] that incorporates two
novelties: 1) a progressive optimization scheme that conducts the solution search efficiently …
novelties: 1) a progressive optimization scheme that conducts the solution search efficiently …
The tempest in a cubic millimeter: image-based refinements necessitate the reconstruction of 3D microvasculature from a large series of damaged alternately-stained …
O Lobachev - IEEE Access, 2020 - ieeexplore.ieee.org
This work presents two methods that facilitate a 3D reconstruction of microscopic blood
vessels in the volume slightly larger than 1 mm 3. The source of the data are histological …
vessels in the volume slightly larger than 1 mm 3. The source of the data are histological …