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Deformable Image Registration

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https://www.readbyqxmd.com/read/28916139/online-adaptive-radiation-therapy
#1
REVIEW
Stephanie Lim-Reinders, Brian M Keller, Shahad Al-Ward, Arjun Sahgal, Anthony Kim
The current paradigm of radiation therapy has the treatment planned on a snapshot dataset of the patient's anatomy taken at the time of simulation. Throughout the course of treatment, this snapshot may vary from initial simulation. Although there is the ability to image patients within the treatment room with technologies such as cone beam computed tomography, the current state of the art is largely limited to rigid-body matching and not accounting for any geometric deformations in the patient's anatomy. A plan that was once attuned to the initial simulation can become suboptimal as the treatment progresses unless improved technologies are brought to bear...
April 24, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/28902466/learning-based-deformable-registration-for-infant-mri-by-integrating-random-forest-with-auto-context-model
#2
Lifang Wei, Xiaohuan Cao, Zhensong Wang, Yaozong Gao, Shunbo Hu, Li Wang, Guorong Wu, Dinggang Shen
PURPOSE: Accurately analyzing the rapid structural evolution of human brain in the first year of life is a key step in early brain development studies, which requires accurate deformable image registration. However, due to 1) dynamic appearance and 2) large anatomical changes, very few methods in the literature can work well for the registration of two infant brain MR images acquired at two arbitrary development phases, such as birth and one-year-old. METHODS: To address these challenging issues, we propose a learning-based registration method, which can handle the anatomical structures and the appearance changes between the two infant brain MR images with possible time gap...
September 13, 2017: Medical Physics
https://www.readbyqxmd.com/read/28901951/real-time-non-rigid-target-tracking-for-ultrasound-guided-clinical-interventions
#3
Cornel Zachiu, Mario G Ries, Pascal Ramaekers, Jean-Luc Guey, Chrit T W Moonen, Baudouin Denis de Senneville
Biological motion is a problem for non- or mini-invasive interventions when conducted in mobile/deformable organs due to the targeted pathology moving/deforming with the organ. This may lead to high miss rates and/or incomplete treatment of the pathology. Therefore, real-time tracking of the target anatomy during the intervention would be beneficial for such applications. Since the aforementioned interventions are often conducted under B-mode ultrasound (US) guidance, target tracking can be achieved via image registration, by comparing the acquired US images to a separate image established as positional reference...
September 13, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28891398/geometric-analysis-of-loco-regional-recurrences-in-relation-to-pre-treatment-hypoxia-in-patients-with-head-and-neck-cancer
#4
Simon Boeke, Daniela Thorwarth, David Mönnich, Christina Pfannenberg, Gerald Reischl, Christian La Fougère, Konstantin Nikolaou, Paul-Stefan Mauz, Frank Paulsen, Daniel Zips, Stefan Welz
INTRODUCTION: A previous pattern-of-failure study has suggested that up to 50% of the loco-regional failures (LRF) in head and neck squamous cell carcinoma (HNSCC) occur outside the initial hypoxic volume determined by [(18)F]-fluoromisonidazole-PET ([(18)F]-FMISO-PET). The aim of the present analysis was to correlate spatial patterns of failure with respect to the pretherapeutic dynamic [(18)F]-FMISO-PET/CT in HNSCC after radiochemotherapy (RCT). MATERIAL AND METHODS: Within a running phase 2 trial using [(18)F]-FMISO-PET imaging prior to RCT in HNSCC patients (n = 54), we have observed so far 11 LRF with a minimum follow-up of 12 months...
September 11, 2017: Acta Oncologica
https://www.readbyqxmd.com/read/28885196/propagation-of-registration-uncertainty-during-multi-fraction-cervical-cancer-brachytherapy
#5
Alborz Amir-Khalili, Ghassan Hamarneh, Roja Zakariaee, Ingrid Spadinger, Rafeef Abugharbieh
Multi-fraction cervical cancer brachytherapy is a form of image-guided radiotherapy that heavily relies on 3D imaging during treatment planning, delivery, and quality control. In this context, deformable image registration can increase the accuracy of dosimetric evaluations, provided that one can account for the uncertainties associated with the registration process. To enable such capability, we propose a mathematical framework that first estimates the registration uncertainty and subsequently propagates the effects of the computed uncertainties from the registration stage through to the visualizations, organ segmentations, and dosimetric evaluations...
September 8, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28880160/pvr-patch-to-volume-reconstruction-for-large-area-motion-correction-of-fetal-mri
#6
Amir Alansary, Martin Rajchl, Steven G McDonagh, Maria Murgasova, Mellisa Damodaram, David F A Lloyd, Alice Davidson, Mary Rutherford, Joseph V Hajnal, Daniel Rueckert, Bernhard Kainz
In this paper we present a novel method for the correction of motion artifacts that are present in fetal Magnetic Resonance Imaging (MRI) scans of the whole uterus. Contrary to current slice-to-volume registration (SVR) methods, requiring an inflexible anatomical enclosure of a single investigated organ, the proposed patch-to-volume reconstruction (PVR) approach is able to reconstruct a large field of view of non-rigidly deforming structures. It relaxes rigid motion assumptions by introducing a specific amount of redundant information that is exploited with parallelized patch-wise optimization, super-resolution, and automatic outlier rejection...
September 1, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28871982/evaluating-the-toxicity-reduction-with-computed-tomographic-ventilation-functional-avoidance-radiation-therapy
#7
Austin M Faught, Yuya Miyasaka, Noriyuki Kadoya, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy, Tokihiro Yamamoto
PURPOSE: Computed tomographic (CT) ventilation imaging is a new modality that uses 4-dimensional (4D) CT information to calculate lung ventilation. Although retrospective studies have reported on the reduction in dose to functional lung, no work to our knowledge has been published in which the dosimetric improvements have been translated to a reduction in the probability of pulmonary toxicity. Our work estimates the reduction in toxicity for CT ventilation-based functional avoidance planning...
October 1, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/28864401/implementing-radiation-dose-volume-liver-response-in-biomechanical-deformable-image-registration
#8
Daniel F Polan, Mary Feng, Theodore S Lawrence, Randall K Ten Haken, Kristy K Brock
PURPOSE: Understanding anatomic and functional changes in the liver resulting from radiation therapy is fundamental to the improvement of normal tissue complication probability models needed to advance personalized medicine. The ability to link pretreatment and posttreatment imaging is often compromised by significant dose-dependent volumetric changes within the liver that are currently not accounted for in deformable image registration (DIR) techniques. This study investigated using delivered dose, in combination with other patient factors, to biomechanically model longitudinal changes in liver anatomy for follow-up care and re-treatment planning...
June 27, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/28861704/multimodal-image-registration-based-on-binary-gradient-angle-descriptor
#9
Dongsheng Jiang, Yonghong Shi, Demin Yao, Yifeng Fan, Manning Wang, Zhijian Song
PURPOSE: Multimodal image registration plays an important role in image-guided interventions/therapy and atlas building, and it is still a challenging task due to the complex intensity variations in different modalities. METHODS: The paper addresses the problem and proposes a simple, compact, fast and generally applicable modality-independent binary gradient angle descriptor (BGA) based on the rationale of gradient orientation alignment. The BGA can be easily calculated at each voxel by coding the quadrant in which a local gradient vector falls, and it has an extremely low computational complexity, requiring only three convolutions, two multiplication operations and two comparison operations...
August 31, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28860982/using-large-scale-statistical-chinese-brain-template-chinese2020-in-popular-neuroimage-analysis-toolkits
#10
Lin Shi, Peipeng Liang, Yishan Luo, Kai Liu, Vincent C T Mok, Winnie C W Chu, Defeng Wang, Kuncheng Li
Given that the morphology of Chinese brains statistically differs from that of Caucasian, there is an urgent need to develop a Chinese brain template for neuroimaging studies in Chinese populations. Based on a multi-center dataset, we developed a statistical Chinese brain template, named as Chinese2020 (Liang et al., 2015). This new Chinese brain atlas has been validated in brain normalization and segmentation for anatomical Magnetic Resonance Imaging (MRI) studies, and is publicly available at http://www.chinese-brain-atlases...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28854199/ultrasound-2d-strain-measurement-for-arm-lymphedema-using-deformable-registration-a-feasibility-study
#11
Xiaofeng Yang, Mylin Torres, Stephanie Kirkpatrick, Walter J Curran, Tian Liu
PURPOSE: Lymphedema, a swelling of the extremity, is a debilitating morbidity of cancer treatment. Current clinical evaluation of lymphedema is often based on medical history and physical examinations, which is subjective. In this paper, the authors report an objective, quantitative 2D strain imaging approach using a hybrid deformable registration to measure soft-tissue stiffness and assess the severity of lymphedema. METHODS: The authors have developed a new 2D strain imaging method using registration of pre- and post-compression ultrasound B-mode images, which combines the statistical intensity- and structure-based similarity measures using normalized mutual information (NMI) metric and normalized sum-of-squared-differences (NSSD), with an affine-based global and B-spline-based local transformation model...
2017: PloS One
https://www.readbyqxmd.com/read/28841761/user-independent-diffusion-tensor-imaging-analysis-pipelines-in-a-rat-model-presenting-ventriculomegalia-a-comparison-study
#12
Luis Akakpo, Wyston C Pierre, Chen Jin, Irène Londono, Philippe Pouliot, Gregory A Lodygensky
Automated analysis of diffusion tensor imaging (DTI) data is an appealing way to process large datasets in an unbiased manner. However, automation can sometimes be linked to a lack of interpretability. Two whole-brain, automated and voxelwise methods exist: voxel-based analysis (VBA) and tract-based spatial statistics (TBSS). In VBA, the amount of smoothing has been shown to influence the results. TBSS is free of this step, but a projection procedure is introduced to correct for residual misalignments. This projection assigns the local highest fractional anisotropy (FA) value to the mean FA skeleton, which represents white matter tract centers...
August 25, 2017: NMR in Biomedicine
https://www.readbyqxmd.com/read/28837048/evaluation-of-motion-correction-for-clinical-dynamic-contrast-enhanced-mri-of-the-liver
#13
Mariëlle J A Jansen, Hugo J Kuijf, Wouter B Veldhuis, Frank J Wessels, Maarten S van Leeuwen, Josien P W Pluim
Motion correction of 4D dynamic contrast enhanced MRI (DCE-MRI) series is required for diagnostic evaluation of liver lesions. The registration, however, is a challenging task, owing to rapid changes in image appearance. In this study, two different registration approaches are compared; a conventional pairwise method applying mutual information as metric and a groupwise method applying a principal component analysis based metric introduced by Huizinga et al (2016). The pairwise method transforms the individual 3D images one by one to a reference image, whereas the groupwise registration method computes the metric on all the images simultaneously, exploiting the temporal information, and transforms all 3D images to a common space...
August 24, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28837047/lung-respiration-motion-modeling-a-sparse-motion-field-presentation-method-using-biplane-x-ray-images
#14
Dong Chen, Hongzhi Xie, Shuyang Zhang, Lixu Gu
Respiration-introduced tumor location uncertainty is a challenge in the precise lung biopsy for lung lesions. Current statistical modeling approaches hardly capture the complex local respiratory motion information. In this study, we formulate a statistical respiratory motion model using biplane x-ray images to improve the accuracy of motion field estimation by efficiently preserving local motion details for specific patients. Given CT data sets of 18 healthy subjects at end-expiratory (EE) and end-inspiratory (EI) breathing phases, the respiratory motion field is constructed based on deformation vector fields (DVFs) which are extracted from these CT data sets, and a lung contour motion repository respiratory is generated dependent on displacements of boundary control points...
August 24, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28834555/a-method-to-detect-landmark-pairs-accurately-between-intra-patient-volumetric-medical-images
#15
Deshan Yang, Miao Zhang, Xiao Chang, Yabo Fu, Shi Liu, Harold H Li, Sasa Mutic, Ye Duan
PURPOSES: An image processing procedure was developed in this study to detect large quantity of landmark pairs accurately in pairs of volumetric medical images. The detected landmark pairs can be used to evaluate of deformable image registration (DIR) methods quantitatively. METHODS: Landmark detection and pair matching were implemented in a Gaussian pyramid multi-resolution scheme. A 3D scale-invariant feature transform (SIFT) feature detection method and a 3D Harris-Laplacian corner detection method were employed to detect feature points, i...
August 23, 2017: Medical Physics
https://www.readbyqxmd.com/read/28833248/real-time-respiratory-phase-matching-between-2d-fluoroscopic-images-and-3d-ct-images-for-precise-percutaneous-lung-biopsy
#16
Chijun Weon, Mina Kim, Chang Min Park, Jong Beom Ra
PURPOSE: A 3D CT image is used along with real-time 2D fluoroscopic images in the state-of-the-art cone-beam CT system to guide percutaneous lung biopsy (PLB). To improve the guiding accuracy by compensating for respiratory motion, we propose an algorithm for real-time matching of 2D fluoroscopic images to multiple 3D CT images of different respiratory phases that is robust to the small movement and deformation due to cardiac motion. METHODS: Based on the transformations obtained from non-rigid registration between two 3D CT images acquired at expiratory and inspiratory phases, we first generate sequential 3D CT images (or a 4D CT image) and the corresponding 2D digitally reconstructed radiographs (DRRs) of vessels...
August 20, 2017: Medical Physics
https://www.readbyqxmd.com/read/28830203/multimodal-image-registration-for-the-identification-of-dominant-intraprostatic-lesion-in-high-precision-radiotherapy-treatments
#17
Delia Ciardo, Barbara Alicja Jereczek-Fossa, Giuseppe Petralia, Giorgia Timon, Dario Zerini, Raffaella Cambria, Elena Rondi, Federica Cattani, Alessia Bazani, Rosalinda Ricotti, Maria Garioni, Davide Maestri, Giulia Marvaso, Paola Romanelli, Marco Riboldi, Guido Baroni, Roberto Orecchia
PURPOSE: The integration of computed tomography (CT) and multiparametric magnetic resonance imaging (mpMRI) is a challenging task in high-precision radiotherapy for prostate cancer. A simple methodology for multimodal deformable image registration (DIR) of prostate cancer patients is presented. METHODS: CT and mpMRI of ten patients were considered. Organs at risk and prostate were contoured on both scans. The dominant intraprostatic lesion was additionally delineated on magnetic resonance imaging...
August 22, 2017: British Journal of Radiology
https://www.readbyqxmd.com/read/28816295/-three-dimensional-data-fusion-method-for-tooth-crown-and-root-based-on-curvature-continuity-algorithm
#18
Y J Zhao, Y Liu, Y C Sun, Y Wang
OBJECTIVE: To explore a three-dimensional (3D) data fusion and integration method of optical scanning tooth crowns and cone beam CT (CBCT) reconstructing tooth roots for their natural transition in the 3D profile. METHODS: One mild dental crowding case was chosen from orthodontics clinics with full denture. The CBCT data were acquired to reconstruct the dental model with tooth roots by Mimics 17.0 medical imaging software, and the optical impression was taken to obtain the dentition model with high precision physiological contour of crowns by Smart Optics dental scanner...
August 18, 2017: Beijing da Xue Xue Bao. Yi Xue Ban, Journal of Peking University. Health Sciences
https://www.readbyqxmd.com/read/28816151/quantification-of-pediatric-abdominal-organ-motion-with-a-4-dimensional-magnetic-resonance-imaging-method
#19
Jinsoo Uh, Matthew J Krasin, Yimei Li, Xingyu Li, Christopher Tinkle, John T Lucas, Thomas E Merchant, Chiaho Hua
PURPOSE: To characterize respiration-induced abdominal organ motion in children receiving radiation treatment with a 4-dimensional (4D) magnetic resonance imaging (MRI) method. METHODS AND MATERIALS: We analyzed free-breathing coronal 4D MRI datasets acquired from 35 patients (aged 1-20 years) with abdominal tumors. A deformable image registration of the 4D MRI datasets was performed to derive motion trajectories of selected anatomic landmarks, from which organ motions were quantified...
September 1, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/28806994/patterns-of-locoregional-failure-following-post-operative-intensity-modulated-radiotherapy-to-oral-cavity-cancer-quantitative-spatial-and-dosimetric-analysis-using-a-deformable-image-registration-workflow
#20
Abdallah S R Mohamed, Andrew J Wong, Clifton D Fuller, Mona Kamal, Gary B Gunn, Jack Phan, William H Morrison, Beth M Beadle, Heath Skinner, Stephen Y Lai, Sean R Quinlan-Davidson, Abdelaziz M Belal, Ahmed G El-Gowily, Steven J Frank, David I Rosenthal, Adam S Garden
BACKGROUND: We sought to identify spatial/dosimetric patterns of failure for oral cavity cancer patients receiving post-operative IMRT (PO-IMRT). METHODS: Two hundred eighty-nine OCC patients receiving PO-IMRT were retrospectively reviewed from 2000 to 2012. Diagnostic CT documenting recurrence (rCT) was co-registered with planning CT (pCT) using a validated deformable image registration software. Manually segmented recurrent gross disease (rGTV) was deformed to co-registered pCTs...
August 15, 2017: Radiation Oncology
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