Three-Dimensional Rigid and Non-Rigid Image Registration for the Pelvis and Prostate

2007 ◽  
pp. 103-149
Author(s):  
Baowei Fei ◽  
Jasjit Suri ◽  
David L Wilson
Keyword(s):  
Image Registration ◽  
Three Dimensional

Serial Isotropic Three-Dimensional Fast FLAIR Imaging: Using Image Registration and Subtraction to Reveal Active Multiple Sclerosis Lesions

2002 ◽  
Vol 179 (3) ◽  
pp. 777-782 ◽  
Author(s):  
I Leng Tan ◽  
Ronald A. van Schijndel ◽  
Petra J. W. Pouwels ◽  
Herman J. Adèr ◽  
Frederik Barkhof
Keyword(s):  
Multiple Sclerosis ◽  
Image Registration ◽  
Three Dimensional ◽  
Flair Imaging ◽  
Active Multiple Sclerosis

scholarly journals Estimation of three-dimensional intrinsic dosimetric uncertainties resulting from using deformable image registration for dose mapping

2010 ◽  
Vol 38 (1) ◽  
pp. 343-353 ◽  
Author(s):  
Francisco J. Salguero ◽  
Nahla K. Saleh-Sayah ◽  
Chenyu Yan ◽  
Jeffrey V. Siebers
Keyword(s):  
Image Registration ◽  
Three Dimensional ◽  
Deformable Image Registration ◽  
Dose Mapping

Application of three-dimensional magnetic resonance image registration for monitoring hip joint diseases

2005 ◽  
Vol 23 (5) ◽  
pp. 665-670 ◽  
Author(s):  
Masaki Takao ◽  
Nobuhiko Sugano ◽  
Takashi Nishii ◽  
Hisahi Tanaka ◽  
Jun Masumoto ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Image Registration ◽  
Hip Joint ◽  
Magnetic Resonance Image ◽  
Three Dimensional ◽  
Joint Diseases

scholarly journals A Methodology of Three-Dimensional Medical Image Registration Based on Conformal Geometric Invariant

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Liang Hua ◽  
Kean Yu ◽  
Lijun Ding ◽  
Juping Gu ◽  
Xinsong Zhang ◽  
...  
Keyword(s):  
Image Registration ◽  
Medical Image ◽  
Subjective Evaluation ◽  
Three Dimensional ◽  
Medical Image Registration ◽  
Geometric Invariant ◽  
Registration Accuracy ◽  
Registration Method ◽  
Cloud Data ◽  
Dual Vector

A three-dimensional multimodality medical image registration method using geometric invariant based on conformal geometric algebra (CGA) theory is put forward for responding to challenges resulting from many free degrees and computational burdens with 3D medical image registration problems. The mathematical model and calculation method of dual-vector projection invariant are established using the distribution characteristics of point cloud data and the point-to-plane distance-based measurement in CGA space. The translation operator and geometric rotation operator during registration operation are built in Clifford algebra (CA) space. The conformal geometrical algebra is used to realize the registration of 3D CT/MR-PD medical image data based on the dual vector geometric invariant. The registration experiment results indicate that the methodology proposed in this paper is of stronger commonality, less computation burden, shorter time consumption, and intuitive geometric meaning. Both subjective evaluation and objective indicators show that the methodology proposed here is of high registration accuracy and suitable for 3D medical image registration.

Image-guided vascular neurosurgery based on three-dimensional rotational angiography

2007 ◽  
Vol 106 (3) ◽  
pp. 501-506 ◽  
Author(s):  
Peter W. A. Willems ◽  
Theo Van Walsum ◽  
Peter A. Woerdeman ◽  
Everine B. Van De Kraats ◽  
Gerard A. P. De Kort ◽  
...  
Keyword(s):  
Image Registration ◽  
Navigation System ◽  
Three Dimensional ◽  
Region Of Interest ◽  
Small Region ◽  
Rotational Angiography ◽  
Vascular Tree ◽  
Data Set ◽  
3D Rotational Angiography ◽  
Vascular Neurosurgery

✓Three-dimensional rotational angiography is capable of exquisite visualization of cerebral blood vessels and their pathophysiology. Unfortunately, images obtained using this modality typically show a small region of interest without exterior landmarks to allow patient-to-image registration, precluding their use for neuronavigation purposes. The aim of this study was to find an alternative technique to enable 3D rotational angiography–guided vascular neurosurgery. Three-dimensional rotational angiograms were obtained in an angiographic suite with direct navigation capabilities. After image acquisition, a navigated pointer was used to touch fiducial positions on the patient's head. These positions were located outside the image volume but could nevertheless be transformed into image coordinates and stored in the navigation system. Prior to surgery, the data set was transferred to the navigation system in the operating room, and the same fiducial positions were touched again to complete the patient-to-image registration. This technique was tested on a Perspex phantom representing the cerebral vascular tree and on two patients with an intracranial aneurysm. In both the phantom and patients, the neuronavigation system provided 3D images representing the vascular tree in its correct orientation, that is, the orientation seen by the neurosurgeon through the microscope. In one patient, tissue shift was clearly observed without significant changes in the orientation of the structures. Results in this study demonstrate the feasibility of using 3D rotational angiography data sets for neuronavigation purposes. Determining the benefit of this type of navigation should be the subject of future studies.

Sign in / Sign up

Export Citation Format

Share Document