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Deformable Image Registration

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https://www.readbyqxmd.com/read/28550405/projective-biomechanical-depth-matching-for-soft-tissue-registration-in-laparoscopic-surgery
#1
Daniel Reichard, Dominik Häntsch, Sebastian Bodenstedt, Stefan Suwelack, Martin Wagner, Hannes Kenngott, Beat Müller-Stich, Lena Maier-Hein, Rüdiger Dillmann, Stefanie Speidel
PURPOSE: A key component of computer- assisted surgery systems is the accurate and robust registration of preoperative planning data with intraoperative sensor data. In laparoscopic surgery, this image-based registration remains challenging due to soft tissue deformations. This paper presents a novel approach for biomechanical soft tissue registration of preoperative CT data with stereo endoscopic image data. METHODS: The proposed method consists of two registrations steps...
May 26, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28545068/automatically-tracking-neurons-in-a-moving-and-deforming-brain
#2
Jeffrey P Nguyen, Ashley N Linder, George S Plummer, Joshua W Shaevitz, Andrew M Leifer
Advances in optical neuroimaging techniques now allow neural activity to be recorded with cellular resolution in awake and behaving animals. Brain motion in these recordings pose a unique challenge. The location of individual neurons must be tracked in 3D over time to accurately extract single neuron activity traces. Recordings from small invertebrates like C. elegans are especially challenging because they undergo very large brain motion and deformation during animal movement. Here we present an automated computer vision pipeline to reliably track populations of neurons with single neuron resolution in the brain of a freely moving C...
May 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28543091/intraoperative-localized-constrained-registration-in-navigated-bronchoscopy
#3
Erlend Fagertun Hofstad, Hanne Sorger, Janne Beate Lervik Bakeng, Lucian Gruionu, Håkon Olav Leira, Tore Amundsen, Thomas Langø
PURPOSE: One of the major challenges in electromagnetic navigated bronchoscopy is the navigation accuracy. An initial rigid image-to-patient registration may not be optimal for the entire lung volume, as the lung tissue anatomy is likely to have shifted since the time of computer tomography (CT) acquisition. The accuracy of the initial rigid registration will also be affected throughout the procedure by breathing, coughing, patient movement and tissue displacements due to pressure from bronchoscopy tools...
May 25, 2017: Medical Physics
https://www.readbyqxmd.com/read/28535910/dose-warping-performance-in-deformable-image-registration-in-lung
#4
Shunsuke Moriya, Hidenobu Tachibana, Nozomi Kitamura, Amit Sawant, Masanori Sato
PURPOSE: It is unclear that spatial accuracy can reflect the impact of deformed dose distribution. In this study, we used dosimetric parameters to compare an in-house deformable image registration (DIR) system using NiftyReg, with two commercially available systems, MIM Maestro (MIM) and Velocity AI (Velocity). METHODS: For 19 non-small-cell lung cancer patients, the peak inspiration (0%)-4DCT images were deformed to the peak expiration (50%)-4DCT images using each of the three DIR systems, which included computation of the deformation vector fields (DVF)...
May 2017: Physica Medica: PM
https://www.readbyqxmd.com/read/28533050/dual-core-steered-non-rigid-registration-for-multi-modal-images-via-bi-directional-image-synthesis
#5
Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen
In prostate cancer radiotherapy, computed tomography (CT) is widely used for dose planning purposes. However, because CT has low soft tissue contrast, it makes manual contouring difficult for major pelvic organs. In contrast, magnetic resonance imaging (MRI) provides high soft tissue contrast, which makes it ideal for accurate manual contouring. Therefore, the contouring accuracy on CT can be significantly improved if the contours in MRI can be mapped to CT domain by registering MRI with CT of the same subject, which would eventually lead to high treatment efficacy...
May 13, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28521203/3d-full-field-quantification-of-cell-induced-large-deformations-in-fibrillar-biomaterials-by-combining-non-rigid-image-registration-with-label-free-second-harmonic-generation
#6
Alvaro Jorge-Peñas, Hannelore Bové, Kathleen Sanen, Marie-Mo Vaeyens, Christian Steuwe, Maarten Roeffaers, Marcel Ameloot, Hans Van Oosterwyck
To advance our current understanding of cell-matrix mechanics and its importance for biomaterials development, advanced three-dimensional (3D) measurement techniques are necessary. Cell-induced deformations of the surrounding matrix are commonly derived from the displacement of embedded fiducial markers, as part of traction force microscopy (TFM) procedures. However, these fluorescent markers may alter the mechanical properties of the matrix or can be taken up by the embedded cells, and therefore influence cellular behavior and fate...
May 10, 2017: Biomaterials
https://www.readbyqxmd.com/read/28520556/breast-tissue-stiffness-estimation-for-surgical-guidance-using-gravity-induced-excitation
#7
Rebekah H Griesenauer, Jared A Weis, Lori R Arlinghaus, Ingrid M Meszoely, Michael I Miga
Tissue stiffness interrogation is fundamental in breast cancer diagnosis and treatment. Furthermore, biomechanical models for predicting breast deformations have been created for several breast cancer applications. Within these applications, constitutive mechanical properties must be defined and the accuracy of this estimation directly impacts the overall performance of the model. In this study, we present an image-derived computational framework to obtain quantitative, patient specific stiffness properties for application in image-guided breast cancer surgery and interventions...
May 18, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28516043/quantification-of-regional-deformation-of-the-lungs-by-non-rigid-registration-of-three-dimensional-contrast-enhanced-magnetic-resonance-imaging
#8
Jiaxin Shao, Peng Hu
BACKGROUND: Assessment of lung function is vital for the diagnosis of a variety of pathological conditions. Research has been proposed to study pulmonary mechanics and kinematics using two-dimensional (2D) magnetic resonance imaging (MRI). This allows estimation of regional lung tissue mechanics but is limited to 2D information. An approach based on three-dimensional (3D) contrast-enhanced MR angiogram of pulmonary blood vessels and a non-rigid image registration technique is proposed for quantification of lung regional deformations, which can potentially be used for assessment of pulmonary parenchymal mechanics and regional ventilation for disease diagnosis without ionizing radiation...
April 2017: Quantitative Imaging in Medicine and Surgery
https://www.readbyqxmd.com/read/28513864/the-influence-of-non-rigid-anatomy-and-patient-positioning-on-endoscopy-ct-image-registration-in-the-head-and-neck
#9
W Scott Ingram, Jinzhong Yang, Richard Wendt, Beth M Beadle, Arvind Rao, Xin A Wang, Laurence E Court
PURPOSE: To assess the influence of non-rigid anatomy and differences in patient positioning between CT acquisition and endoscopic examination on endoscopy-CT image registration in the head and neck. METHODS: Radiotherapy planning CTs and 31-35 daily treatment-room CTs were acquired for nineteen patients. Diagnostic CTs were acquired for thirteen of the patients. The surfaces of the airways were segmented on all scans and triangular meshes were created to render virtual endoscopic images with a calibrated pinhole model of an endoscope...
May 17, 2017: Medical Physics
https://www.readbyqxmd.com/read/28511960/inadequate-target-volume-delineation-and-local-regional-recurrence-after-intensity-modulated-radiotherapy-for-human-papillomavirus-positive-oropharynx-cancer
#10
Allen M Chen, Robert Chin, Philip Beron, Taeko Yoshizaki, Argin G Mikaeilian, Minsong Cao
PURPOSE: To perform a spatial analysis of local-regional recurrences, in relation to quantitative dose distribution, among patients treated by intensity-modulated radiotherapy (IMRT) for human papillomavirus (HPV)-positive oropharyngeal cancer. METHODS AND MATERIALS: The records of 107 consecutive patients who presented for consideration of re-irradiation for local-regional recurrent disease occurring in a previously irradiated field were reviewed. The original IMRT plans were retrieved for those with HPV-positive disease originating from the oropharynx, and deformable image registration was used to fuse the magnetic resonance imaging (MRI) and positron emission tomography (PET) scans obtained at recurrence to the pre-treatment planning computed tomography (CT) dataset...
May 13, 2017: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
https://www.readbyqxmd.com/read/28506641/guiding-multimodal-registration-with-learned-optimization-updates
#11
Benjamin Gutierrez-Becker, Diana Mateus, Loic Peter, Nassir Navab
In this paper, we address the multimodal registration problem from a novel perspective, aiming to predict the transformation aligning images directly from their visual appearance. We formulate the prediction as a supervised regression task, with joint image descriptors as input and the output are the parameters of the transformation that guide the moving image towards alignment. We model the joint local appearance with context aware descriptors that capture both local and global cues simultaneously in the two modalities, while the regression function is based on the gradient boosted trees method capable of handling the very large contextual feature space...
May 6, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28498510/semi-automated-registration-of-pre-and-intra-operative-ct-for-image-guided-percutaneous-liver-tumor-ablation-interventions
#12
Gokhan Gunay, Manh Ha Luu, Adriaan Moelker, Theo van Walsum, Stefan Klein
PURPOSE: In CT guided liver tumor ablation interventions, registration of a preoperative contrast enhanced CT image to the intra-operative CT image is hypothesized to improve guidance. This is a highly challenging registration task due to differences in patient poses and large deformations, and therefore high registration errors are expected. In this study, our objective is to develop a method that enables users to locally improve the registration where the registration fails, with minimal user interaction...
May 12, 2017: Medical Physics
https://www.readbyqxmd.com/read/28494089/evaluation-of-the-tumor-registration-error-in-biopsy-procedures-performed-under-real-time-pet-ct-guidance
#13
Louise M Fanchon, Adytia Apte, C Ross Schmidtlein, Ellen Yorke, Yu-Chi Hu, Snjezana Dogan, Mathieu Hatt, Dimitris Visvikis, John L Humm, Stephen B Solomon, Assen S Kirov
PURPOSE: The purpose of this study is to quantify tumor displacement during real-time PET/CT guided biopsy and to investigate correlations between tumor displacement and false-negative results. METHODS: 19 patients who underwent real-time (18) F-FDG PET-guided biopsy and were found positive for malignancy were included in this study under IRB approval. PET/CT images were acquired for all patients within minute prior biopsy to visualize the FDG-avid region and plan the needle insertion...
May 11, 2017: Medical Physics
https://www.readbyqxmd.com/read/28493110/bem-based-simulation-of-lung-respiratory-deformation-for-ct-guided-biopsy
#14
Dong Chen, Weisheng Chen, Lipeng Huang, Xuegang Feng, Terry Peters, Lixu Gu
PURPOSE: Accurate and real-time prediction of the lung and lung tumor deformation during respiration are important considerations when performing a peripheral biopsy procedure. However, most existing work focused on offline whole lung simulation using 4D image data, which is not applicable in real-time image-guided biopsy with limited image resources. In this paper, we propose a patient-specific biomechanical model based on the boundary element method (BEM) computed from CT images to estimate the respiration motion of local target lesion region, vessel tree and lung surface for the real-time biopsy guidance...
May 10, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28490254/validating-dose-uncertainty-estimates-produced-by-autodirect-an-automated-program-to-evaluate-deformable-image-registration-accuracy
#15
Hojin Kim, Josephine Chen, Justin Phillips, Jason Pukala, Sue S Yom, Neil Kirby
Deformable image registration is a powerful tool for mapping information, such as radiation therapy dose calculations, from one computed tomography image to another. However, deformable image registration is susceptible to mapping errors. Recently, an automated deformable image registration evaluation of confidence tool was proposed to predict voxel-specific deformable image registration dose mapping errors on a patient-by-patient basis. The purpose of this work is to conduct an extensive analysis of automated deformable image registration evaluation of confidence tool to show its effectiveness in estimating dose mapping errors...
January 1, 2017: Technology in Cancer Research & Treatment
https://www.readbyqxmd.com/read/28477378/evaluating-the-accuracy-of-4d-ct-ventilation-imaging-first-comparison-with-technegas-spect-ventilation
#16
Fiona Hegi-Johnson, Paul Keall, Jeff Barber, Chuong Bui, John Kipritidis
INTRODUCTION: Computed tomography ventilation imaging (CTVI) is a highly accessible functional lung imaging modality that can unlock the potential for functional avoidance in lung cancer radiation therapy. Previous attempts to validate CTVI against clinical ventilation single-photon emission computed tomography (V-SPECT) have been hindered by radioaerosol clumping artifacts. This work builds on those studies by performing the first comparison of CTVI with (99m) Tc-carbon ('Technegas'), a clinical V-SPECT modality featuring smaller radioaerosol particles with less clumping...
May 5, 2017: Medical Physics
https://www.readbyqxmd.com/read/28477340/a-neural-network-approach-for-fast-automated-quantification-of-dir-performance
#17
John Neylon, Yugang Min, Daniel A Low, Anand Santhanam
PURPOSE: A critical step in adaptive radiotherapy (ART) workflow is deformably registering the simulation CT with the daily or weekly volumetric imaging. Quantifying the deformable image registration accuracy under these circumstances is a complex task due to the lack of known ground-truth landmark correspondences between the source data and target data. Generating landmarks manually (using experts) is time-consuming, and limited by image quality and observer variability. While image similarity metrics (ISM) may be used as an alternative approach to quantify the registration error, there is a need to characterize the ISM values by developing a non-linear cost function and translate them to physical distance measures in order to enable fast, quantitative comparison of registration performance...
May 5, 2017: Medical Physics
https://www.readbyqxmd.com/read/28475493/adaptive-radiotherapy-for-nsclc-patients-utilizing-the-principle-of-energy-conservation-to-evaluate-dose-mapping-operations
#18
Hualiang Zhong, Indrin J Chetty
Tumor regression during the course of fractionated radiotherapy confounds the ability to accurately estimate the total dose delivered to tumor targets. Here we present a new criterion to improve the accuracy of image intensity-based dose mapping operations for adaptive radiotherapy for patients with non-small cell lung cancer (NSCLC). Six NSCLC patients were retrospectively investigated in this study. An image intensity-based B-spline registration algorithm was used for deformable image registration (DIR) of weekly CBCT images to a reference image...
May 5, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28472925/registration-error-of-the-liver-ct-using-deformable-image-registration-of-mim-maestro-and-velocity-ai
#19
Nobuyoshi Fukumitsu, Kazunori Nitta, Toshiyuki Terunuma, Toshiyuki Okumura, Haruko Numajiri, Yoshiko Oshiro, Kayoko Ohnishi, Masashi Mizumoto, Teruhito Aihara, Hitoshi Ishikawa, Koji Tsuboi, Hideyuki Sakurai
BACKGROUND: Understanding the irradiated area and dose correctly is important for the reirradiation of organs that deform after irradiation, such as the liver. We investigated the spatial registration error using the deformable image registration (DIR) software products MIM Maestro (MIM) and Velocity AI (Velocity). METHODS: Image registration of pretreatment computed tomography (CT) and posttreatment CT was performed in 24 patients with liver tumors. All the patients received proton beam therapy, and the follow-up period was 4-14 (median: 10) months...
May 4, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28463165/novel-super-resolution-approach-to-time-resolved-volumetric-4-dimensional-magnetic-resonance-imaging-with-high-spatiotemporal-resolution-for-multi-breathing-cycle-motion-assessment
#20
Guang Li, Jie Wei, Mo Kadbi, Jason Moody, August Sun, Shirong Zhang, Svetlana Markova, Kristen Zakian, Margie Hunt, Joseph O Deasy
PURPOSE: To develop and evaluate a super-resolution approach to reconstruct time-resolved 4-dimensional magnetic resonance imaging (TR-4DMRI) with a high spatiotemporal resolution for multi-breathing cycle motion assessment. METHODS AND MATERIALS: A super-resolution approach was developed to combine fast 3-dimensional (3D) cine MRI with low resolution during free breathing (FB) and high-resolution 3D static MRI during breath hold (BH) using deformable image registration...
June 1, 2017: International Journal of Radiation Oncology, Biology, Physics
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