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https://www.readbyqxmd.com/read/28231342/nonlinear-image-registration-with-bidirectional-metric-and-reciprocal-regularization
#1
Shihui Ying, Dan Li, Bin Xiao, Yaxin Peng, Shaoyi Du, Meifeng Xu
Nonlinear registration is an important technique to align two different images and widely applied in medical image analysis. In this paper, we develop a novel nonlinear registration framework based on the diffeomorphic demons, where a reciprocal regularizer is introduced to assume that the deformation between two images is an exact diffeomorphism. In detail, first, we adopt a bidirectional metric to improve the symmetry of the energy functional, whose variables are two reciprocal deformations. Secondly, we slack these two deformations into two independent variables and introduce a reciprocal regularizer to assure the deformations being the exact diffeomorphism...
2017: PloS One
https://www.readbyqxmd.com/read/28227424/atrioventricular-junction-avj-motion-tracking-a-software-tool-with-itk-vtk-qt
#2
Pengdong Xiao, Shuang Leng, Xiaodan Zhao, Hua Zou, Ru San Tan, Philip Wong, Liang Zhong, Pengdong Xiao, Shuang Leng, Xiaodan Zhao, Hua Zou, Ru San Tan, Philip Wong, Liang Zhong, Ru San Tan, Pengdong Xiao, Philip Wong, Hua Zou, Shuang Leng, Liang Zhong, Xiaodan Zhao
The quantitative measurement of the Atrioventricular Junction (AVJ) motion is an important index for ventricular functions of one cardiac cycle including systole and diastole. In this paper, a software tool that can conduct AVJ motion tracking from cardiovascular magnetic resonance (CMR) images is presented by using Insight Segmentation and Registration Toolkit (ITK), The Visualization Toolkit (VTK) and Qt. The software tool is written in C++ by using Visual Studio Community 2013 integrated development environment (IDE) containing both an editor and a Microsoft complier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227416/3d-2d-ultrasound-feature-based-registration-for-navigated-prostate-biopsy-a-feasibility-study
#3
Sonia Y Selmi, Emmanuel Promayon, Jocelyne Troccaz, Sonia Y Selmi, Emmanuel Promayon, Jocelyne Troccaz, Emmanuel Promayon, Sonia Y Selmi, Jocelyne Troccaz
The aim of this paper is to describe a 3D-2D ultrasound feature-based registration method for navigated prostate biopsy and its first results obtained on patient data. A system combining a low-cost tracking system and a 3D-2D registration algorithm was designed. The proposed 3D-2D registration method combines geometric and image-based distances. After extracting features from ultrasound images, 3D and 2D features within a defined distance are matched using an intensity-based function. The results are encouraging and show acceptable errors with simulated transforms applied on ultrasound volumes from real patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227380/efficient-rendering-of-digitally-reconstructed-radiographs-on-heterogeneous-computing-architectures-using-central-slice-theorem
#4
Marwan Abdellah, Mohamed Abdallah, Mohamed Alzanati, Ayman Eldeib, Marwan Abdellah, Mohamed Abdallah, Mohamed Alzanati, Ayman Eldeib, Ayman Eldeib, Mohamed Abdallah, Mohamed Alzanati, Marwan Abdellah
Digitally reconstructed radiographs (DRRs) play a significant role in modern clinical radiation therapy. They are used to verify patient alignments during image guided therapies with 2D-3D image registration. The generation of DRRs can be implemented intuitively in O(N(3)) relying on direct volume rendering (DVR) methods, such as ray marching. This complexity imposes certain limitations on the rendering performance if high quality DRR images are needed. Those DRRs can be alternatively generated in the k-space using the central slice theorem in O(N(2)logN)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227379/parallel-generation-of-digitally-reconstructed-radiographs-on-heterogeneous-multi-gpu-workstations
#5
Marwan Abdellah, Asem Abdelaziz, E M B S Eslam Ali, Sherief Abdelaziz, Abdelrahman Sayed, Mohamed I Owis, Ayman Eldeib, Marwan Abdellah, Asem Abdelaziz, E M B S Eslam Ali, Sherief Abdelaziz, Abdelrahman Sayed, Mohamed I Owis, Ayman Eldeib, Sherief Abdelaziz, Mohamed I Owis, Abdelrahman Sayed, Marwan Abdellah, Asem Abdelaziz, Eslam Ali, Ayman Eldeib
The growing importance of three-dimensional radiotherapy treatment has been associated with the active presence of advanced computational workflows that can simulate conventional x-ray films from computed tomography (CT) volumetric data to create digitally reconstructed radiographs (DRR). These simulated x-ray images are used to continuously verify the patient alignment in image-guided therapies with 2D-3D image registration. The present DRR rendering pipelines are quite limited to handle huge imaging stacks generated by recent state-of-the-art CT imaging modalities...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227357/experimental-evaluation-of-the-accuracy-at-the-c-arm-pose-estimation-with-x-ray-images
#6
Sabine Thurauf, Florian Vogt, Oliver Hornung, Mario Korner, M Ali Nasseri, Alois Knoll, Sabine Thurauf, Florian Vogt, Oliver Hornung, Mario Korner, M Ali Nasseri, Alois Knoll, Sabine Thurauf, Alois Knoll, Mario Korner, Florian Vogt, Oliver Hornung, M Ali Nasseri
C-arm X-ray systems need a high spatial accuracy for applications like cone beam computed tomography and 2D/3D overlay. One way to achieve the needed precision is a model-based calibration of the C-arm system. For such a calibration a kinematic and dynamic model of the system is constructed whose parameters are computed by pose measurements of the C-arm. Instead of common measurement systems used for a model-based calibration for robots like laser trackers, we use X-ray images of a calibration phantom to measure the C-arm pose...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227211/an-automatic-quantitative-measurement-method-for-performance-assessment-of-retina-image-registration-algorithms
#7
Ee Ping Ong, Jimmy Addison Lee, Guozhen Xu, Beng Hai Lee, Damon W K Wong, Ee Ping Ong, Jimmy Addison Lee, Guozhen Xu, Beng Hai Lee, Damon W K Wong, Jimmy Addison Lee, Guozhen Xu, Ee Ping Ong, Beng Hai Lee, Damon W K Wong
This paper presents a novel automatic quantitative measurement method for assessment of the performance of image registration algorithms designed for registering retina fundus images. To achieve automatic quantitative measurement, we propose the use of edges and edge dissimilarity measure for determining the performance of retina image registration algorithms. Our input is the registered pair of retina fundus images obtained using any of the existing retina image registration algorithms in the literature. To compute edge dissimilarity score, we propose an edge dissimilarity measure that we called "robustified Hausdorff distance"...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227210/retinal-image-registration-through-simultaneous-camera-pose-and-eye-shape-estimation
#8
Carlos Hernandez-Matas, Xenophon Zabulis, Antonis A Argyros, Carlos Hernandez-Matas, Xenophon Zabulis, Antonis A Argyros, Xenophon Zabulis, Antonis A Argyros
In this paper, a retinal image registration method is proposed. The approach utilizes keypoint correspondences and assumes that the human eye has a spherical or ellipsoidal shape. The image registration problem amounts to solving a camera 3D pose estimation problem and, simultaneously, an eye 3D shape estimation problem. The camera pose estimation problem is solved by estimating the relative pose between the views from which the images were acquired. The eye shape estimation problem parameterizes the shape and orientation of an ellipsoidal model for the eye...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226947/lower-limb-pose-estimation-for-monitoring-the-kicking-patterns-of-infants
#9
Miguel M Serrano, Yu-Ping Chen, Ayanna Howard, Patricio A Vela, Miguel M Serrano, Yu-Ping Chen, Ayanna Howard, Patricio A Vela, Miguel M Serrano, Ayanna Howard, Patricio A Vela, Yu-Ping Chen
Monitoring the spontaneous kicking patterns of infants can give insight into their development. A computer vision based method for estimating the pose of an infant's leg from range images is presented in this paper. After some manual inputs for initialization, the range data associated with the infant is extracted. The method uses Robust Point Set Registration (RPSR) to fit an articulated model to the subject in every frame in the sequence, thus it provides the joint trajectories over time of the kicking kinematics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226732/lung-tumor-boundary-tracking-in-mri-with-moving-mesh-correspondences-for-adaptive-radio-therapy
#10
Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar, Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar, Kumaradevan Punithakumar, Pierre Boulanger, Nazanin Tahmasebi
Delineation of lung tumor regions from magnetic resonance imaging (MRI) poses many difficulties due to MR signal similarities of the region of interest and surrounding area as well as the influence of respiration. However, accurate segmentation of the tumor region is of utmost importance in planning a radiation therapy since a small error can result in some healthy tissues to receive excessive radiation. This study presents a semi-automated method to delineate lung tumor regions from a sequence of MRIs. The proposed method uses a non-rigid image registration framework to propagate the boundaries of the tumor region in MRI acquired during a radiation treatment stage, given manual segmentation on frames acquired during pretreatment stage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226725/a-chicken-embryo-cardiac-outflow-tract-atlas-for-registering-changes-due-to-abnormal-blood-flow
#11
James P Carson, Monique Y Rennie, Michael Danilchik, Kent Thornburg, Sandra Rugonyi, James P Carson, Monique Y Rennie, Michael Danilchik, Kent Thornburg, Sandra Rugonyi, Kent Thornburg, Michael Danilchik, James P Carson, Monique Y Rennie, Sandra Rugonyi
Subdivision-based image registration has previously been applied to co-localize digital information extracted from rigid structures in biological specimens, such as the brain. Here, we describe and demonstrate the creation and application of a two-dimensional subdivision-based atlas representing a dynamic structure: the outflow tract of the developing chicken heart. The atlas is designed to segment three different anatomical layers of the outflow tract, and is demonstrated on the characterization of collagen XIV in both control and induced abnormal flow specimens...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226709/topology-guided-demons-registration-with-local-rigidity-preservation
#12
Chaojie Zheng, Xiuying Wang, Dagan Feng, Chaojie Zheng, Xiuying Wang, Dagan Feng, Chaojie Zheng, Dagan Feng, Xiuying Wang
Demons has been well recognized for its deformable registration capability. However, it might lead to misregistration due to the large spatial distance between the expected corresponding contents or erroneous diffusion tendency. In this paper, we propose a new energy function with topology energy, distance function and demons energy for deformable registration. The new energy function incorporates topological relationships to guide the correct diffusion and deformation, and contributes to local rigidity preservation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226708/curvelet-based-residual-complexity-objective-function-for-non-rigid-registration-of-pre-operative-mri-with-intra-operative-ultrasound-images
#13
P Farnia, B Makkiabadi, A Ahmadian, J Alirezaie, P Farnia, B Makkiabadi, A Ahmadian, J Alirezaie, B Makkiabadi, A Ahmadian, P Farnia, J Alirezaie
Intra-operative ultrasound as an imaging based method has been recognized as an effective solution to compensate non rigid brain shift problem in recent years. Measuring brain shift requires registration of the pre-operative MRI images with the intra-operative ultrasound images which is a challenging task. In this study a novel hybrid method based on the matching echogenic structures such as sulci and tumor boundary in MRI with ultrasound images is proposed. The matching echogenic structures are achieved by optimizing the Residual Complexity (RC) in the curvelet domain...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226707/slice-correspondence-estimation-using-surf-descriptors-and-context-based-search-for-prostate-whole-mount-histology-mri-registration
#14
Lina Guzman, Frederic Commandeur, Oscar Acosta, Antoine Simon, Alain Fautrel, Nathalie Rioux-Leclercq, Eduardo Romero, Romain Mathieu, Renaud de Crevoisier, Lina Guzman, Frederic Commandeur, Oscar Acosta, Antoine Simon, Alain Fautrel, Nathalie Rioux-Leclercq, Eduardo Romero, Romain Mathieu, Renaud de Crevoisier, Frederic Commandeur, Romain Mathieu, Antoine Simon, Alain Fautrel, Eduardo Romero, Renaud De Crevoisier, Oscar Acosta, Nathalie Rioux-Leclercq, Lina Guzman
Registration of histopathology volumes to Magnetic Resonance Images(MRI) is a crucial step for finding correlations in Prostate Cancer (PCa) and assessing tumor agressivity. This paper proposes a two-stage framework aimed at registering both modalities. Firstly, Speeded-Up Robust Features (SURF) algorithm and a context-based search is used to automatically determine slice correspondences between MRI and histology volumes. This step initializes a multimodal nonrigid registration strategy, which allows to propagate histology slices to MRI...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226706/3-d-registration-on-carotid-artery-imaging-data-mri-for-different-timesteps
#15
Paschalis A Bizopoulos, Antonis Sakellarios, Lampros K Michalis, Dimitrios D Koutsouris, Dimitrios I Fotiadis, Paschalis A Bizopoulos, Antonis Sakellarios, Lampros K Michalis, Dimitrios D Koutsouris, Dimitrios I Fotiadis, Lampros K Michalis, Dimitrios D Koutsouris, Antonis Sakellarios, Dimitrios I Fotiadis, Paschalis A Bizopoulos
A common problem which is faced by the researchers when dealing with arterial carotid imaging data is the registration of the geometrical structures between different imaging modalities or different timesteps. The use of the "Patient Position" DICOM field is not adequate to achieve accurate results due to the fact that the carotid artery is a relatively small structure and even imperceptible changes in patient position and/or direction make it difficult. While there is a wide range of simple/advanced registration techniques in the literature, there is a considerable number of studies which address the geometrical structure of the carotid artery without using any registration technique...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226705/non-rigid-mri-ct-registration-for-effective-planning-of-prostate-brachytherapy
#16
I Hamdan, G Dardenne, J Bert, D Visvikis, I Hamdan, G Dardenne, J Bert, D Visvikis, I Hamdan, G Dardenne, J Bert, D Visvikis
Prostate brachytherapy is an intraoperative radiotherapy technique for irradiating prostate tumors by placing radioactive sources inside the prostate. CT image is used to calculate a personalized dose distribution (PDD) while the MRI is used to visualize the tumor and the organs at risk. Therefore, a registration of preoperative MRI and CT is essential since it could improve the overall precision of the treatment planning, the placement of radioactive sources inside the prostate as well as the visualization of the dose distribution with respect to the tumor...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226704/sorted-self-similarity-for-multi-modal-image-registration
#17
Keyvan Kasiri, Paul Fieguth, David A Clausi, Keyvan Kasiri, Paul Fieguth, David A Clausi, Keyvan Kasiri, David A Clausi, Paul Fieguth
In medical image analysis, registration of multimodal images has been challenging due to the complex intensity relationship between images. Classical multi-modal registration approaches evaluate the degree of the alignment by measuring the statistical dependency of the intensity values between images to be aligned. Employing statistical similarity measures, such as mutual information, is not promising in those cases with complex and spatially dependent intensity relations. A new similarity measure is proposed based on the assessing the similarity of pixels within an image, based on the idea that similar structures in an image are more probable to undergo similar intensity transformations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226694/multi-output-gaussian-processes-for-enhancing-resolution-of-diffusion-tensor-fields
#18
Hernan Dario Vargas Cardona, Alvaro A Orozco, Mauricio A Alvarez, Hernan Dario Vargas Cardona, Alvaro A Orozco, Mauricio A Alvarez, Hernan Dario Vargas Cardona, Mauricio A Alvarez, Alvaro A Orozco
Second order diffusion tensor (DT) fields are widely used in several clinical applications: brain fibers connections, diagnosis of neuro-degenerative diseases, image registration, brain conductivity models, etc. However, due to current acquisition protocols and hardware limitations in MRI machines, the diffusion magnetic resonance imaging (dMRI) data is obtained with low spatial resolution (1 or 2 mm(3) for each voxel). This issue can be significant, because tissue fibers are much smaller than voxel size. Interpolation has become in a successful methodology for enhancing spatial resolution of DT fields...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226689/patient-movement-compensation-for-3d-echocardiography-fusion
#19
Abhilash R Hareendranathan, Michelle Hanbidge, Allen He, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar, Abhilash R Hareendranathan, Michelle Hanbidge, Allen He, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar, Allen He, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar, Michelle Hanbidge, Abhilash R Hareendranathan
Limited field of view (FOV) is a major problem for 3D real-time echocardiography (3DRTE), which results in an incomplete representation of cardiac anatomy. Various image registration techniques have been proposed to improve the field of view in 3DRTE by fusing multiple image volumes. However, these techniques require significant overlap between the individual volumes and rely on high image resolution and high signal-to-noise ratio. Changes in the heart position due to patient movement during image acquisition can also reduce the quality of image fusion...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226686/multiview-echocardiography-fusion-using-an-electromagnetic-tracking-system
#20
Kumaradevan Punithakumar, Abhilash R Hareendranathan, Riitta Paakkanen, Nehan Khan, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar, Abhilash R Hareendranathan, Riitta Paakkanen, Nehan Khan, Michelle Noga, Pierre Boulanger, Harald Becher, Harald Becher, Nehan Khan, Riitta Paakkanen, Michelle Noga, Kumaradevan Punithakumar, Abhilash R Hareendranathan, Pierre Boulanger
Three-dimensional ultrasound is an emerging modality for the assessment of complex cardiac anatomy and function. The advantages of this modality include lack of ionizing radiation, portability, low cost, and high temporal resolution. Major limitations include limited field-of-view, reliance on frequently limited acoustic windows, and poor signal to noise ratio. This study proposes a novel approach to combine multiple views into a single image using an electromagnetic tracking system in order to improve the field-of-view...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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