Results 41 to 50 of about 396,477 (272)

Image registration in intra-oral radiography [PDF]

, 2005
Image registration is one of the image processing methods which is widely used in computer vision, pattern recognition, and medical imaging. In digital subtraction radiography, image registration is one of the important prerequisites to match the ...
Leung, CC, Tsui, WK, Yiu, KL, Zee, KY
core   +1 more source

Multimodal Medical Image registration using Discrete Wavelet Transform

JISR on Computing, 2013
In image processing, image registration develops a relationship between two images using optimal transformation where the images could have been taken at various times, sources or devices, or from different perspectives.
Hina Shakir, S.Talha Ahsan
doaj   +1 more source

Image Registration Techniques: A Survey

, 2017
Image Registration is the process of aligning two or more images of the same scene with reference to a particular image. The images are captured from various sensors at different times and at multiple view-points.
Nag, Sayan
core   +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.
Albrecht, Thomas, Dedner, Andreas, Lüthi, Marcel, Vetter, Thomas   +3 more
core   +4 more sources

An Unsupervised Learning Model for Deformable Medical Image Registration

, 2018
We present a fast learning-based algorithm for deformable, pairwise 3D medical image registration. Current registration methods optimize an objective function independently for each pair of images, which can be time-consuming for large data.
Balakrishnan, Guha, Dalca, Adrian V., Guttag, John, Sabuncu, Mert R., Zhao, Amy   +4 more
core   +1 more source

Automatic evolutionary medical image segmentation using deformable models [PDF]

, 2014
International audienceThis paper describes a hybrid level set approach to medical image segmentation. The method combines region-and edge-based information with the prior shape knowledge introduced using deformable registration.
Cagnoni, Stefano, Damas, Sergio, Marrakchi-Kacem, Linda, Mesejo, Pablo, Valsecchi, Andrea   +4 more
core   +3 more sources

A Groupwise Registration Method Based on Topology Center of Images

Chinese Journal of Magnetic Resonance, 2018
Image registration is often used to transform images from different subjects into the same spatial space to ensure more accurate comparisons. With the traditional image registration methods, one image is usually specified as the reference image, while ...
WANG Yuan-jun, LIU Yu
doaj   +1 more source

Fast Predictive Simple Geodesic Regression

, 2017
Deformable image registration and regression are important tasks in medical image analysis. However, they are computationally expensive, especially when analyzing large-scale datasets that contain thousands of images.
CR Jack, M Niethammer, M Zhang, MA Ikram, PA Yushkevich, PT Fletcher, X Yang, Y Hong   +7 more
core   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source

Metric Learning for Image Registration

, 2019
Image registration is a key technique in medical image analysis to estimate deformations between image pairs. A good deformation model is important for high-quality estimates.
Kwitt, Roland, Niethammer, Marc, Vialard, Francois-Xavier   +2 more
core   +2 more sources