Improved Non-rigid Registration of Prostate MRI

  title={Improved Non-rigid Registration of Prostate MRI},
  author={Aloys du Bois d'Aische and Mathieu De Craene and Steven Haker and Neil I. Weisenfeld and Clare M. Tempany and Benoit M. Macq and S. Warfield},
This paper introduces a fast non-rigid registration method for aligning pre-operative 1.5 T MR images to intra-operative 0.5 T MR images for guidance in prostate biopsy. After the acquisition of both pre-operative 1.5 T and intra-operative 0.5 T, an intensity correction method is applied to the pre-operative images to reduce the significant artifacts in the signal intensities due to the presence of an endo-rectal coil. A fast manual segmentation of prostate in both modalities is carried out to… 

Multimodal Image Registration applied to Magnetic Resonance and Ultrasound Prostatic Images. (Recalage multimodale [i.e. multimodal] d'images de résonance magnétique et échographiques de la prostate)

A new spline-based diffeomorphic registration framework for multimodal images is proposed by investigating on shape-based and image-based similarity measures and proposing for slice-to-slice correspondence based on joint-maximization of the similarity measures.

B-splines Coupled with Quadrature Texture to Register Prostate Multimodal Images

A novel 2D deformable registration method that overlays pre-biopsy MRI onto TRUS images has been proposed and shows statistically significant improvement in TRE when compared to B-spline using NMI computed from intensities with Student's t-test p = 0.02.

Registration of magnetic resonance and ultrasound images for guiding prostate cancer interventions

A deformable image registration framework that enables automatic and/or semi-automatic alignment of MR and 3D TRUS images of the prostate gland and a novel model-to-image vector alignment (MIVA) algorithm, which maximises the likelihood of a particular instance of a statistical shape model given a voxel-intensity-based feature vector.

Prostate multimodality image registration based on B-splines and quadrature local energy

The texture energy computed from the quadrature filter pairs provides better registration accuracy for multimodal images than raw intensities and adds to the feasibility of the proposed 2D deformable registration method being used during TRUS-guided biopsy.

Landmark-Guided Surface Matching and Volumetric Warping for Improved Prostate Biopsy Targeting and Guidance

The method for the registration of pre-operative magnetic resonance (MR) imaging for improved targeting and visualization during MR-guided prostate biopsy has general applicability to other organs and imaging modalities such as CT and ultrasound.

Deformable Registration for IGT

This chapter aims to give a brief introduction to the field of deformable registration, introducing the main methodological concepts illustrated by the representative applications and approaches for NRR, and discuss some of the practical considerations and challenges related to validation of NRR methods.

MRI to CT Prostate Registration for Improved Targeting in Cancer External Beam Radiotherapy

A new method to propagate MRI prostate delineations to the planning CT using a new similarity metric which maximizes the probability and the collinearity between the normals of the manual registration (MR) existing contour and the contour resulting from the CT classification is introduced.

Prostate contouring in MRI guided biopsy

A semi-automatic algorithm that uses a priori knowledge of prostate shape to arrive at the final prostate contour and is robust to the patient's pose (supine, prone, etc.).



Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging.

The preliminary results from these experiments suggest that the proposed registration system may be applied to other settings such as transrectal ultrasound-guided therapy, where the integration of preoperative MRI may have a significant impact upon treatment planning and guidance.

Automatic registration of the prostate for computed-tomography-guided radiotherapy.

An automatic registration technique that is not adversely influenced by changes in prostate shape, size or orientation, presence of rectal gas, or bladder filling is developed, allowing the entire CT localization process to take place in 5-9 minutes.

PET-CT image registration in the chest using free-form deformations

An algorithm for three-dimensional positron emission tomography transmission-to-computed tomography registration in the chest is implemented, using mutual information as a similarity criterion, and a rigid body deformation combined with localized cubic B-splines is used to capture this motion.

Dense deformation field estimation for brain intraoperative images registration

A new fast non rigid registration algorithm is presented. The algorithm estimates a dense deformation field by optimizing a criterion that measures image similarity by mutual information and

Entropy-Based, Multiple-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation

An information theoretic minimax entropy registration framework for patient setup verification using portal images and the treatment planning 3D CT data set is developed and the algorithm is extended to utilize dual portal images.

An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging

A software package which uniquely integrates several facets of image-guided medicine into a single portable, extendable environment and describes its system architecture, wide range of applications, and novel integration with an interventional Magnetic Resonance scanner to augment intra-operative imaging with pre-operative data.

Multimodal nonrigid registration using a stochastic gradient approximation

We present a new fast implementation of a nonrigid registration algorithm, based on a finite element elastic deformation model using the mutual information metric with a linear elastic regularization

Alignment by Maximization of Mutual Information

A new information-theoretic approach is presented for finding the pose of an object in an image that works well in domains where edge or gradient-magnitude based methods have difficulty, yet it is more robust than traditional correlation.

Entropy minimization for automatic correction of intensity nonuniformity

  • J. Mangin
  • Computer Science
    Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. MMBIA-2000 (Cat. No.PR00737)
  • 2000
A fully automatic method for the correction of intensity nonuniformity in MR images that does not require any a priori model of the tissue classes and is evaluated using both real and simulated data.