A non-rigid registration algorithm for dynamic breast MR images

A non-rigid registration algorithm for dynamic breast MR images

<p>Magnetic resonance image analysis is a promising technique for diagnosing breast cancer, particularly in women for whom X-ray mammography is ineffective. If breast motion is not corrected for, diagnostic accuracy is significantly reduced. In this paper, we analyse the kinds of motion that a...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak:	Hayton, P, Brady, M, Smith, S, Moore, N
Formatua:	Journal article
Hizkuntza:	English
Argitaratua:	Elsevier 1999

Antzeko izenburuak

Analysis of dynamic MR breast images using a model of contrast enhancement.
nork: Hayton, P, et al.
Argitaratua: (1997)

Non-rigid registration of breast images using feature points.
nork: Zhang, W, et al.
Argitaratua: (2010)

Adaptive non-rigid registration of real time 3D ultrasound to cardiovascular MR images.
nork: Zhang, W, et al.
Argitaratua: (2007)

Rigid registration of MR and biplanar fluoroscopy
nork: Cosman, Eric (Eric Richard), 1977-
Argitaratua: (2005)

Spatio-temporal (2D+T) non-rigid registration of real-time 3D echocardiography and cardiovascular MR image sequences.
nork: Zhang, W, et al.
Argitaratua: (2011)

An improved non-rigid image registration approach
nork: HE Kai, et al.
Argitaratua: (2019-07-01)

A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging
nork: Crum, W, et al.
Argitaratua: (2004)

Non-Rigid Registration for High-Resolution Retinal Imaging
nork: Mircea Mujat, et al.
Argitaratua: (2023-07-01)

Non-rigid Registration of Medical Image Data with Incomplete Information
nork: O. V. Museyko, et al.
Argitaratua: (2010-03-01)

Convolutional Sparse Modular Fusion Algorithm for Non-Rigid Registration of Visible–Infrared Images
nork: Tao Luo, et al.
Argitaratua: (2025-02-01)

3D Rigid Registration of Intraoperative Ultrasound and Preoperative MR Brain Images Based on Hyperechogenic Structures
nork: Pierrick Coupé, et al.
Argitaratua: (2012-01-01)

Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients
nork: John A. Onofrey, et al.
Argitaratua: (2016-01-01)

A probabilistic approach to non-rigid medical image registration
nork: Simpson, IJA
Argitaratua: (2012)

Non-rigid registration of breast surfaces using the laplace and diffusion equations
nork: Ou Jao J, et al.
Argitaratua: (2010-02-01)

A Rigid Image Registration by Combined Local Features and Genetic Algorithms
nork: Meskine Fatiha, et al.
Argitaratua: (2023-12-01)

An Automated Non-Rigid Registration Method for Accurate Quantification of Dynamic Contrast Enhanced MR Imaging (DCE-MRI) in Complex Adnexal Masses Employing Residual Complexity Framework
nork: Anahita Fathi Fathi Kazerooni, et al.
Argitaratua: (2016-12-01)

A Rigid Image Registration Based on the Nonsubsampled Contourlet Transform and Genetic Algorithms
nork: Nasreddine Taleb, et al.
Argitaratua: (2010-09-01)

Probabilistic inference of regularisation in non-rigid registration.
nork: Simpson, I, et al.
Argitaratua: (2012)

Probabilistic inference of regularisation in non-rigid registration
nork: Simpson, I, et al.
Argitaratua: (2012)

Uncertainty estimation for improving accuracy of non-rigid registration in cardiac images
nork: Mazaheri, Samaneh, et al.
Argitaratua: (2015)

Non-rigid registration of a 3D ultrasound and a MR image data set of the female pelvic floor using a biomechanical model
nork: Rexilius Jan, et al.
Argitaratua: (2005-03-01)

A Robust and Accurate Non-rigid Medical Image Registration Algorithm Based on Multi-level Deformable Model
nork: Yanli WAN, et al.
Argitaratua: (2017-11-01)

Non−rigid Elastic Registration of Retinal Images using Local Window Mutual Information
nork: Legg, P, et al.
Argitaratua: (2009)

SAMCOR: A robust and precise co-registration algorithm for brain CT and MR imaging
nork: Cihan M. Kadipasaoglu, et al.
Argitaratua: (2022-12-01)

Incorporation of diffusion tensor MRI in non-rigid registration for image-guided neurosurgery
nork: Kemper, Corey Ann, 1979-
Argitaratua: (2014)

Adaptive enhanced affine transformation for non‐rigid registration of visible and infrared images
nork: Chaobo Min, et al.
Argitaratua: (2021-04-01)

Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving
nork: Hao Zhu, et al.
Argitaratua: (2019-06-01)

Collaborative quantization embeddings for intra-subject prostate MR image registration
nork: Shen, Z, et al.
Argitaratua: (2022)

Robust CPD Algorithm for Non-Rigid Point Set Registration Based on Structure Information.
nork: Lei Peng, et al.
Argitaratua: (2016-01-01)

Non-Rigid Registration via Global to Local Transformation
nork: Hao Pan*, et al.
Argitaratua: (2020-01-01)

Two-Step Rigid and Non-Rigid Image Registration for the Alignment of Three-Dimensional Echocardiography Sequences From Multiple Views
nork: Srivathsan Shanmuganathan, et al.
Argitaratua: (2024-01-01)

A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration
nork: Giovana A. Benvenuto, et al.
Argitaratua: (2022-08-01)

Registration accuracy for MR images of the prostate using a subvolume based registration protocol
nork: Söderström Karin, et al.
Argitaratua: (2011-06-01)

Adaptive Physics-Based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems
nork: Fotis Drakopoulos, et al.
Argitaratua: (2021-02-01)

End-to-End Deep Learning of Non-rigid Groupwise Registration and Reconstruction of Dynamic MRI
nork: Junwei Yang, et al.
Argitaratua: (2022-04-01)

CLINIFACE: PHENOTYPIC VISUALISATION AND ANALYSIS USING NON-RIGID REGISTRATION OF 3D FACIAL IMAGES
nork: R. L. Palmer, et al.
Argitaratua: (2020-08-01)

Correction: Robust CPD Algorithm for Non-Rigid Point Set Registration Based on Structure Information.
nork: Lei Peng, et al.
Argitaratua: (2018-01-01)

Real time 3-D ultrasound to MR cardiovascular image registration using a phase-based approach
nork: Zhang, W, et al.
Argitaratua: (2006)

A Bayesian approach for spatially adaptive regularisation in non-rigid registration.
nork: Simpson, I, et al.
Argitaratua: (2013)

A Bayesian approach for spatially adaptive regularisation in non-rigid registration
nork: Simpson, I, et al.
Argitaratua: (2013)