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Deformable Image Registration

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https://www.readbyqxmd.com/read/28320682/deformable-registration-based-super-resolution-for-isotropic-reconstruction-of-4d-mri-volumes
#1
Geetha Soujanya Chilla, Cher Heng Tan, Chueh Loo Poh
Multi-plane super-resolution (SR) has been widely employed for resolution improvement of MR images. However, this has mostly been limited to MRI acquisitions with rigid motion. In cases of non-rigid motion, volumes are usually pre-registered using deformable registration methods before SR reconstruction. The pre-registered images are then used as input for the SR reconstruction. Since deformable registration involves smoothening of the inputs, using pre-registered inputs could lead to loss in information in SR reconstructions...
March 13, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28320555/a-population-based-statistical-model-for-daily-geometric-variations-in-the-thorax
#2
Yenny Z Szeto, Marnix G Witte, Marcel van Herk, Jan-Jakob Sonke
PURPOSE: To develop a population based statistical model of the systematic interfraction geometric variations between the planning CT and first treatment week of lung cancer patients for inclusion as uncertainty term in future probabilistic planning. MATERIALS AND METHODS: Deformable image registrations between the planning CT and first week CBCTs of 235 lung cancer patients were used to generate deformation vector fields (DVFs) representing the geometric variations of lung cancer patients...
March 17, 2017: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
https://www.readbyqxmd.com/read/28317122/an-anthropomorphic-abdominal-phantom-for-deformable-image-registration-accuracy-validation-in-adaptive-radiation-therapy
#3
Yuliang Liao, Linjing Wang, Xiangdong Xu, Haibin Chen, Jiawei Chen, Guoqian Zhang, Huaiyu Lei, Ruihao Wang, Shuxu Zhang, Xuejun Gu, Xin Zhen, Linghong Zhou
PURPOSE: To design and construct a three-dimensional (3D) anthropomorphic abdominal phantom for geometric accuracy and dose summation accuracy evaluations of deformable image registration (DIR) algorithms for adaptive radiation therapy (ART). METHOD: Organ molds, including liver, kidney, spleen, stomach, vertebra and two metastasis tumors, were 3D printed using contours from an ovarian cancer patient. The organ molds were molded with deformable gels made of different mixtures of polyvinyl chloride (PVC) and the softener dioctyl terephthalate...
March 20, 2017: Medical Physics
https://www.readbyqxmd.com/read/28315975/spatial-patterns-and-frequency-distributions-of-regional-deformation-in-the-healthy-human-lung
#4
Daniel E Hurtado, Nicolás Villarroel, Carlos Andrade, Jaime Retamal, Guillermo Bugedo, Alejandro Bruhn
Understanding regional deformation in the lung has long attracted the medical community, as parenchymal deformation plays a key role in respiratory physiology. Recent advances in image registration make it possible to noninvasively study regional deformation, showing that volumetric deformation in healthy lungs follows complex spatial patterns not necessarily shared by all subjects, and that deformation can be highly anisotropic. In this work, we systematically study the regional deformation in the lungs of eleven human subjects by means of in vivo image-based biomechanical analysis...
March 18, 2017: Biomechanics and Modeling in Mechanobiology
https://www.readbyqxmd.com/read/28297434/erratum-evaluation-of-the-tool-reg-refine-for-user-guided-deformable-image-registration
#5
(no author information available yet)
No abstract text is available yet for this article.
September 2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28297426/mri-geometric-distortion-impact-on-tangential-whole-breast-imrt
#6
Amy Walker, Peter Metcalfe, Gary Liney, Vikneswary Batumalai, Kylie Dundas, Carri Glide-Hurst, Geoff P Delaney, Miriam Boxer, Mei Ling Yap, Jason Dowling, David Rivest-Henault, Elise Pogson, Lois Holloway
The purpose of this study was to determine the impact of magnetic resonance imaging (MRI) geometric distortions when using MRI for target delineation and planning for whole-breast, intensity-modulated radiotherapy (IMRT). Residual system distortions and combined systematic and patient-induced distortions are considered. This retrospective study investigated 18 patients who underwent whole-breast external beam radiotherapy, where both CT and MRIs were acquired for treatment planning. Distortion phantoms were imaged on two MRI systems, dedicated to radiotherapy planning (a wide, closed-bore 3T and an open-bore 1T)...
September 2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28297355/mr-image-based-synthetic-ct-for-imrt-prostate-treatment-planning-and-cbct-image-guided-localization
#7
Shupeng Chen, Hong Quan, An Qin, Seonghwan Yee, Di Yan
The purpose of this study was to propose and evaluate a method of creating a synthetic CT (S-CT) from MRI simulation for dose calculation and daily CBCT localization. A pair of MR and CT images was obtained in the same day from each of 10 prostate patients. The pair of MR and CT images was preregistered using the deformable image registration (DIR). Using the corresponding displacement vector field (atlas-DVF), the CT image was deformed to the MR image to create an atlas MR-CT pair. Regions of interest (ROI) on the atlas MR-CT pair were delineated and used to create atlas-ROI masks...
May 2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28297339/deformable-image-registration-and-interobserver-variation-in-contour-propagation-for-radiation-therapy-planning
#8
Adam C Riegel, Jeffrey G Antone, Honglai Zhang, Prachi Jain, Jagdeep Raince, Anthony Rea, Angelo M Bergamo, Ajay Kapur, Louis Potters
Deformable image registration (DIR) and interobserver variation inevitably introduce uncertainty into the treatment planning process. The purpose of the current work was to measure deformable image registration (DIR) errors and interobserver variability for regions of interest (ROIs) in the head and neck and pelvic regions. Measured uncertainties were combined to examine planning margin adequacy for contours propagated for adaptive therapy and to assess the trade-off of DIR and interobserver uncertainty in atlas-based automatic segmentation...
May 2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28297333/benchmarking-of-five-commercial-deformable-image-registration-algorithms-for-head-and-neck-patients
#9
Jason Pukala, Perry B Johnson, Amish P Shah, Katja M Langen, Frank J Bova, Robert J Staton, Rafael R Mañon, Patrick Kelly, Sanford L Meeks
Benchmarking is a process in which standardized tests are used to assess system performance. The data produced in the process are important for comparative purposes, particularly when considering the implementation and quality assurance of DIR algorithms. In this work, five commercial DIR algorithms (MIM, Velocity, RayStation, Pinnacle, and Eclipse) were benchmarked using a set of 10 virtual phantoms. The phantoms were previously developed based on CT data collected from real head and neck patients. Each phantom includes a start of treatment CT dataset, an end of treatment CT dataset, and the ground-truth deformation vector field (DVF) which links them together...
May 2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28297322/evaluation-of-the-tool-reg-refine-for-user-guided-deformable-image-registration
#10
Perry B Johnson, Kyle R Padgett, Kuan L Chen, Nesrin Dogan
"Reg Refine" is a tool available in the MIM Maestro v6.4.5 platform (www.mimsoftware.com) that allows the user to actively participate in the deformable image registration process. The purpose of this work was to evaluate the efficacy of this tool and investigate strategies for how to apply it effectively. This was done by performing DIR on two publicly available ground-truth models, the Pixel-based Breathing Thorax Model (POPI) for lung, and the Deformable Image Registration Evaluation Project (DIREP) for head and neck...
May 2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28295788/creating-hemodynamic-atlases-of-cardiac-4d-flow-mri
#11
Merih Cibis, Mariana Bustamante, Jonatan Eriksson, Carl-Johan Carlhäll, Tino Ebbers
PURPOSE: Hemodynamic atlases can add to the pathophysiological understanding of cardiac diseases. This study proposes a method to create hemodynamic atlases using 4D Flow magnetic resonance imaging (MRI). The method is demonstrated for kinetic energy (KE) and helicity density (Hd ). MATERIALS AND METHODS: Thirteen healthy subjects underwent 4D Flow MRI at 3T. Phase-contrast magnetic resonance cardioangiographies (PC-MRCAs) and an average heart were created and segmented...
March 13, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28291931/investigation-of-dosimetric-variations-of-liver-radiotherapy-using-deformable-registration-of-planning-ct-and-cone-beam-ct
#12
Pu Huang, Gang Yu, Jinhu Chen, Changsheng Ma, Shaohua Qin, Yong Yin, Yueqiang Liang, Hongsheng Li, Dengwang Li
Many patients with technically unresectable or medically inoperable hepatocellular carcinoma (HCC) had hepatic anatomy variations as a result of interfraction deformation during fractionated radiotherapy. We conducted this retrospective study to investigate interfractional normal liver dosimetric consequences via reconstructing weekly dose in HCC patients. Twenty-three patients with HCC received conventional fractionated three-dimensional conformal radiation therapy (3DCRT) were enrolled in this retrospective investigation...
January 2017: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28290067/expert-system-classifier-for-adaptive-radiation-therapy-in-prostate-cancer
#13
Gabriele Guidi, Nicola Maffei, Claudio Vecchi, Giovanni Gottardi, Alberto Ciarmatori, Grazia Maria Mistretta, Ercole Mazzeo, Patrizia Giacobazzi, Frank Lohr, Tiziana Costi
A classifier-based expert system was developed to compare delivered and planned radiation therapy in prostate cancer patients. Its aim is to automatically identify patients that can benefit from an adaptive treatment strategy. The study predominantly addresses dosimetric uncertainties and critical issues caused by motion of hollow organs. 1200 MVCT images of 38 prostate adenocarcinoma cases were analyzed. An automatic daily re-contouring of structures (i.e. rectum, bladder and femoral heads), rigid/deformable registration and dose warping was carried out to simulate dose and volume variations during therapy...
March 13, 2017: Australasian Physical & Engineering Sciences in Medicine
https://www.readbyqxmd.com/read/28276077/quantifying-the-reproducibility-of-lung-ventilation-images-between-4-dimensional-cone-beam-ct-and-4-dimensional-ct
#14
Henry C Woodruff, Chun-Chien Shieh, Fiona Hegi-Johnson, Paul J Keall, John Kipritidis
PURPOSE: Deformable image registration (DIR) based computed tomography ventilation imaging derived from four-dimensional cone-beam CT (CTVI(4)(DCBCT) ) can complement existing 4DCT-based methods (CTVI(4)(DCT) ) to track lung function changes over a course of lung cancer radiation therapy. However the accuracy of CTVI(4)(DCBCT) needs to be assessed since anatomic 4DCBCT has demonstrably poor image quality and small field of view (FOV) compared to treatment planning 4DCT. We perform a direct comparison between short interval CTVI(4)(DCBCT) and CTVI(4)(DCT) pairs to understand the patient specific image quality factors affecting the intermodality CTVI reproducibility in the clinic...
March 9, 2017: Medical Physics
https://www.readbyqxmd.com/read/28271356/geometric-modeling-of-hepatic-arteries-in-3d-ultrasound-with-unsupervised-mra-fusion-during-liver-interventions
#15
Maxime Gérard, François Michaud, Alexandre Bigot, An Tang, Gilles Soulez, Samuel Kadoury
PURPOSE: Modulating the chemotherapy injection rate with regard to blood flow velocities in the tumor-feeding arteries during intra-arterial therapies may help improve liver tumor targeting while decreasing systemic exposure. These velocities can be obtained noninvasively using Doppler ultrasound (US). However, small vessels situated in the liver are difficult to identify and follow in US. We propose a multimodal fusion approach that non-rigidly registers a 3D geometric mesh model of the hepatic arteries obtained from preoperative MR angiography (MRA) acquisitions with intra-operative 3D US imaging...
March 7, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28268534/topology-guided-demons-registration-with-local-rigidity-preservation
#16
Chaojie Zheng, Xiuying Wang, Dagan Feng
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/28268531/non-rigid-mri-ct-registration-for-effective-planning-of-prostate-brachytherapy
#17
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/28268530/sorted-self-similarity-for-multi-modal-image-registration
#18
Keyvan Kasiri, Paul Fieguth, David A Clausi
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/28266348/dose-coverage-calculation-using-a-statistical-shape-model-applied-to-cervical-cancer-radiotherapy
#19
David Tilly, Agustinus van de Schoot, Erik Grusell, Arjan Bel, Anders Ahnesjo
A comprehensive methodology for treatment simulation and evaluation of dose coverage probabilities is presented where a population based statistical shape model (SSM) provide samples of fraction specific patient geometry deformations. The learning data consists of vector fields from deformable image registration of repeated imaging giving intra-patient deformations which are mapped to an average patient serving as a common frame of reference. The SSM is created by extracting the most dominating eigenmodes through principal component analysis of the deformations from all patients...
March 7, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28264071/prediction-and-classification-of-alzheimer-disease-based-on-quantification-of-mri-deformation
#20
Xiaojing Long, Lifang Chen, Chunxiang Jiang, Lijuan Zhang
Detecting early morphological changes in the brain and making early diagnosis are important for Alzheimer's disease (AD). High resolution magnetic resonance imaging can be used to help diagnosis and prediction of the disease. In this paper, we proposed a machine learning method to discriminate patients with AD or mild cognitive impairment (MCI) from healthy elderly and to predict the AD conversion in MCI patients by computing and analyzing the regional morphological differences of brain between groups. Distance between each pair of subjects was quantified from a symmetric diffeomorphic registration, followed by an embedding algorithm and a learning approach for classification...
2017: PloS One
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