Results 31 to 40 of about 12,125,308 (239)

Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI

BMC Medical Imaging, 2017
Background Understanding the irradiated area and dose correctly is important for the reirradiation of organs that deform after irradiation, such as the liver.
Nobuyoshi Fukumitsu, Kazunori Nitta, Toshiyuki Terunuma, Toshiyuki Okumura, Haruko Numajiri, Yoshiko Oshiro, Kayoko Ohnishi, Masashi Mizumoto, Teruhito Aihara, Hitoshi Ishikawa, Koji Tsuboi, Hideyuki Sakurai   +11 more
doaj   +1 more source

The same modality medical image registration with large deformation and clinical application based on adaptive diffeomorphic multi-resolution demons

BMC Medical Imaging, 2018
Background Diffeomorphic demons can not only guarantee smooth and reversible deformation, but also avoid unreasonable deformation. However, the number of iterations which has great influence on the registration result needs to be set manually.
Chang Wang, Qiongqiong Ren, Xin Qin, Yi Yu   +3 more
doaj   +1 more source

A Rigid Image Registration by Combined Local Features and Genetic Algorithms

Applied Computer Systems, 2023
Image registration is an essential pre-processing step required for many image processing applications such as medical imaging and computer vision. The aim is to geometrically align two or more images of the same scene by establishing a mapping that ...
Meskine Fatiha, Mezouar Oussama
doaj   +1 more source

Analysis of ICP variants for the registration of partially overlapping time-of-flight range images [PDF]

, 2010
The iterative closest point (ICP) algorithm is one of the most commonly used methods for registering partially overlapping range images. Nevertheless, this algorithm was not originally designed for this task, and many variants have been proposed in an ...
Michael J. Cree, Dorrington, Adrian A., Larkins, Robert L., Robert L. Larkins, Adrian A. Dorrington, Cree, Michael J.   +5 more
core   +2 more sources

Attention Guided Policy Optimization for 3D Medical Image Registration

IEEE Access, 2023
Learning-based image registration approaches typically learn to map from input images to a transformation matrix. Regarding the current deep-learning-based image rigid registration approaches learn a transformation matrix in a one-shot way.
Jing Hu, Zhikun Shuai, Xin Wang, Shu Hu, Shanhui Sun, Siwei Lyu, Xi Wu   +6 more
doaj   +1 more source

Finite element surface registration incorporating curvature, volume preservation, and statistical model information [PDF]

, 2013
We present a novel method for nonrigid registration of 3D surfaces and images. The method can be used to register surfaces by means of their distance images, or to register medical images directly.
Vetter, Thomas, Thomas Vetter, Albrecht, Thomas, Dedner, Andreas, Marcel Lüthi, Andreas Dedner, Lüthi, Marcel, Thomas Albrecht   +7 more
core   +1 more source

Landmark-guided deformable image registration for accurate cumulative dose evaluation in lung reirradiation

Physics and Imaging in Radiation Oncology
Background and purpose: Dose summation in thoracic reirradiation is challenging due to anatomical changes and limitations of rigid image registration. Deformable image registration offers improved accuracy but requires careful evaluation before clinical ...
Marija Popovic, Marco di Francesco, Neil Kopek, Georges Al Makdessi, Monica Serban   +4 more
doaj   +1 more source

Australian Society of Medical Imaging and Radiation Therapy Image Registration in Radiation Therapy Position Paper

Journal of Medical Radiation Sciences
The report from the American Association of Physicists in Medicine (AAPM) Task Group 132, published in 2017, established a framework and recommendations for the safe implementation of rigid image registration (RIR) and deformable image registration (DIR)
Tamara Barry, Huong Nguyen, Laurel Schmidt, Kate Stewart, Nigel Anderson   +4 more
doaj   +1 more source

Image Similarity Metrics in Image Registration [PDF]

, 2010
Measures of image similarity that inspect the intensity probability distribution of the images have proved extremely popular in image registration applications. The joint entropy of the intensity distributions and the marginal entropies of the individual
Melbourne, A, Ridgway, G, Hawkes, DJ
core  

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source