Results 71 to 80 of about 30,960 (188)

Hybrid multiscale landmark and deformable image registration

Mathematical Biosciences and Engineering, 2007
An image registration technique is presented for the registration of medical images using a hybrid combination of coarse-scale landmark and B-splines deformable registration techniques. The technique is particularly effective for registration problems in which the images to be registered contain large localized deformations.
Paquin, Dana C., Levy, Doron, Xing, Lei
openaire   +3 more sources

Radiotherapy dose distribution prediction for breast cancer using deformable image registration

BioMedical Engineering OnLine, 2020
Background Radiotherapy treatment planning dose prediction can be used to ensure plan quality and guide automatic plan. One of the dose prediction methods is incorporating historical treatment planning data into algorithms to estimate the dose–volume ...
Xue Bai, Binbing Wang, Shengye Wang, Zhangwen Wu, Chengjun Gou, Qing Hou   +5 more
doaj   +1 more source

Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images. [PDF]

, 2019
BackgroundLiver alignment between series/exams is challenged by dynamic morphology or variability in patient positioning or motion. Image registration can improve image interpretation and lesion co-localization.
Bittencourt, Leornado Kayat, Brunsing, Ryan L, Cunha, Guilherme Moura, Delgado, Timo, Fowler, Katie J, Hasenstab, Kyle A, Higaki, Atsushi, Hsiao, Albert, Ichikawa, Shintaro, Schlein, Alexandra, Schwartzman, Armin, Sirlin, Claude B, Wang, Kang   +12 more
core  

Distributed-memory large deformation diffeomorphic 3D image registration

, 2016
We present a parallel distributed-memory algorithm for large deformation diffeomorphic registration of volumetric images that produces large isochoric deformations (locally volume preserving).
Biros, George, Gholami, Amir, Mang, Andreas   +2 more
core   +1 more source

Deformable Model-Based Image Registration [PDF]

, 2007
In this chapter we introduce the concept of deformable image registration and point out that interpolation effects, non-rigid body registration, and joint segmentation and registration frameworks are among the challenges that remain for this area. To address the interpolation effects challenge, we choose the Partial Volume Interpolator (PV) used in ...
openaire   +1 more source

Improvement Prediction on Contour Deformation Accuracy Using Deformable Image Registration Results Compared to Rigid Image Registration Results

Japanese Journal of Radiological Technology, 2020
The aim of this study was to analyze improvement prediction on contour deformation accuracy using deformable image registration (DIR) results compared to rigid image registration (RIR) results.Radiotherapy plans for 31 cases (seven head and neck cases, 10 chest cases, six abdomen cases and eight female pelvis cases) from the privately open database for
Ryoto, Kaido, Akihiro, Takemura, Tsubasa, Osawa, Kimiya, Noto, Hironori, Kojima, Naoki, Isomura, Shinichi, Ueda   +6 more
openaire   +3 more sources

MF-Net: multi-scale feature extraction-integration network for unsupervised deformable registration

Frontiers in Neuroscience
Deformable registration plays a fundamental and crucial role in scenarios such as surgical navigation and image-assisted analysis. While deformable registration methods based on unsupervised learning have shown remarkable success in predicting ...
Andi Li, Andi Li, Andi Li, Yuhan Ying, Yuhan Ying, Yuhan Ying, Tian Gao, Tian Gao, Tian Gao, Lei Zhang, Xingang Zhao, Xingang Zhao, Yiwen Zhao, Yiwen Zhao, Guoli Song, Guoli Song, He Zhang   +16 more
doaj   +1 more source

Learning Deep Similarity Metric for 3D MR-TRUS Registration

, 2018
Purpose: The fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images for guiding targeted prostate biopsy has significantly improved the biopsy yield of aggressive cancers.
Haskins, Grant, Kruecker, Jochen, Kruger, Uwe, Pinto, Peter A., Wood, Brad J., Xu, Sheng, Yan, Pingkun   +6 more
core   +1 more source

A Lightweight Residual Network for Unsupervised Deformable Image Registration

IEEE Access
Unsupervised deformable volumetric image registration is crucial for various applications, such as medical imaging and diagnosis. Recently, learning-based methods have achieved remarkable success in this domain.
Ahsan Raza Siyal, Astrid Ellen Grams, Markus Haltmeier   +2 more
doaj   +1 more source

Objective assessment of the quality and accuracy of deformable image registration

Journal of Medical Physics, 2020
Background: The increased use of deformable registration algorithms in clinical practice has also increased the need for their validation. Aims and Objectives: The purpose of the study was to investigate the quality, accuracy, and plausibility of three ...
Ines-Ana Jurkovic, Nikos Papanikolaou, Sotirios Stathakis, Neil Kirby, Panayiotis Mavroidis   +4 more
doaj   +1 more source