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Deformable Image Registration

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https://www.readbyqxmd.com/read/29772077/a-feature-alignment-score-for-online-cone-beam-ct-based-image-guided-radiotherapy-for-prostate-cancer
#1
Catriona Hargrave, Timothy Deegan, Michael Poulsen, Tomasz Bednarz, Fiona Harden, Kerrie Mengersen
PURPOSE: To develop a method for scoring online cone-beam CT (CBCT)-to-planning CT image feature alignment to inform prostate image-guided radiotherapy (IGRT) decision-making. The feasibility of incorporating volume variation metric thresholds, predictive of delivering planned dose into weighted functions, was investigated. METHODS: Radiation therapists and radiation oncologists participated in workshops where they reviewed prostate CBCT-IGRT case examples and completed a paper-based survey of image feature matching practices...
May 17, 2018: Medical Physics
https://www.readbyqxmd.com/read/29771683/an-individualized-strategy-to-estimate-the-effect-of-deformable-registration-uncertainty-on-accumulated-dose-in-the-upper-abdomen
#2
Yibing Wang, Steven F Petit, Eliana Vasquez Osorio, Vikas Gupta, Alejandra Méndez Romero, Ben J M Heijmen
In the abdomen, it is challenging to assess the accuracy of deformable image registration (DIR) for individual patients, due to the lack of clear anatomical landmarks, which can hamper clinical applications that require high accuracy DIR, such as adaptive radiotherapy. In this study, we propose and evaluate a methodology for estimating the impact of uncertainties in DIR on calculated accumulated dose in the upper abdomen, in order to aid decision making in adaptive treatment approaches. 
 Sixteen liver metastasis patients treated with SBRT were evaluated...
May 17, 2018: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29757743/local-all-pass-geometric-deformations
#3
Christopher Gilliam, Thierry Blu
This paper deals with the estimation of a deformation that describes the geometric transformation between two images. To solve this problem, we propose a novel framework that relies upon the brightness consistency hypothesis-a pixel's intensity is maintained throughout the transformation. Instead of assuming small distortion and linearizing the problem (e.g. via Taylor Series expansion), we propose to interpret the brightness hypothesis as an all-pass filtering relation between the two images. The key advantages of this new interpretation are that no restrictions are placed on the amplitude of the deformation or on the spatial variations of the images...
February 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29757473/iterative-inversion-of-deformation-vector-fields-with-feedback-control
#4
Abhishek Kumar Dubey, Alexandros-Stavros Iliopoulos, Xiaobai Sun, Fang-Fang Yin, Lei Ren
PURPOSE: Often, the inverse deformation vector field (DVF) is needed together with the corresponding forward DVF in 4D reconstruction and dose calculation, adaptive radiation therapy, and simultaneous deformable registration. This study aims at improving both accuracy and efficiency of iterative algorithms for DVF inversion, and advancing our understanding of divergence and latency conditions. METHOD: We introduce a framework of fixed-point iteration algorithms with active feedback control for DVF inversion...
May 14, 2018: Medical Physics
https://www.readbyqxmd.com/read/29750177/error-estimation-of-deformable-image-registration-of-pulmonary-ct-scans-using-convolutional-neural-networks
#5
Koen A J Eppenhof, Josien P W Pluim
Error estimation in nonlinear medical image registration is a nontrivial problem that is important for validation of registration methods. We propose a supervised method for estimation of registration errors in nonlinear registration of three-dimensional (3-D) images. The method is based on a 3-D convolutional neural network that learns to estimate registration errors from a pair of image patches. By applying the network to patches centered around every voxel, we construct registration error maps. The network is trained using a set of representative images that have been synthetically transformed to construct a set of image pairs with known deformations...
April 2018: Journal of Medical Imaging
https://www.readbyqxmd.com/read/29738512/pcanet-based-structural-representation-for-nonrigid-multimodal-medical-image-registration
#6
Xingxing Zhu, Mingyue Ding, Tao Huang, Xiaomeng Jin, Xuming Zhang
Nonrigid multimodal image registration remains a challenging task in medical image processing and analysis. The structural representation (SR)-based registration methods have attracted much attention recently. However, the existing SR methods cannot provide satisfactory registration accuracy due to the utilization of hand-designed features for structural representation. To address this problem, the structural representation method based on the improved version of the simple deep learning network named PCANet is proposed for medical image registration...
May 8, 2018: Sensors
https://www.readbyqxmd.com/read/29736801/global-rigid-registration-of-ct-to-video-in-laparoscopic-liver-surgery
#7
Maria R Robu, João Ramalhinho, Stephen Thompson, Kurinchi Gurusamy, Brian Davidson, David Hawkes, Danail Stoyanov, Matthew J Clarkson
PURPOSE: Image-guidance systems have the potential to aid in laparoscopic interventions by providing sub-surface structure information and tumour localisation. The registration of a preoperative 3D image with the intraoperative laparoscopic video feed is an important component of image guidance, which should be fast, robust and cause minimal disruption to the surgical procedure. Most methods for rigid and non-rigid registration require a good initial alignment. However, in most research systems for abdominal surgery, the user has to manually rotate and translate the models, which is usually difficult to perform quickly and intuitively...
May 7, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29736165/classification-of-alzheimer-s-and-mci-patients-from-semantically-parcelled-pet-images-a-comparison-between-av45-and-fdg-pet
#8
Seyed Hossein Nozadi, Samuel Kadoury, The Alzheimer's Disease Neuroimaging Initiative
Early identification of dementia in the early or late stages of mild cognitive impairment (MCI) is crucial for a timely diagnosis and slowing down the progression of Alzheimer's disease (AD). Positron emission tomography (PET) is considered a highly powerful diagnostic biomarker, but few approaches investigated the efficacy of focusing on localized PET-active areas for classification purposes. In this work, we propose a pipeline using learned features from semantically labelled PET images to perform group classification...
2018: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/29732340/new-pseudo-ct-generation-approach-from-magnetic-resonance-imaging-using-a-local-texture-descriptor
#9
H Chaibi, R Nourine
Background: One of the challenges of PET/MRI combined systems is to derive an attenuation map to correct the PET image. For that, the pseudo-CT image could be used to correct the attenuation. Until now, most existing scientific researches construct this pseudo-CT image using the registration techniques. However, these techniques suffer from the local minima of the non-rigid deformation energy function which leads to unsatisfactory results. Objective: We propose in this paper a new approach for the generation of a pseudo-CT image from an MR image...
March 2018: Journal of Biomedical Physics & Engineering
https://www.readbyqxmd.com/read/29727276/automated-detection-of-clinically-significant-prostate-cancer-in-mp-mri-images-based-on-an-end-to-end-deep-neural-network
#10
Zhiwei Wang, Chaoyue Liu, Danpeng Cheng, Liang Wang, Xin Yang, Kwang-Ting Cheng
Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods typically employ several separate steps, each of which is optimized individually without considering the error tolerance of other steps. As a result, they could either involve unnecessary computational cost or suffer from errors accumulated over steps. In this paper, we present an automated CS PCa detection system, where all steps are optimized jointly in an end-to-end trainable deep neural network...
May 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29707700/multiple-sclerosis-lesion-segmentation-using-joint-label-fusion
#11
Mengjin Dong, Ipek Oguz, Nagesh Subbana, Peter Calabresi, Russell T Shinohara, Paul Yushkevich
This paper adapts the joint label fusion (JLF) multi-atlas image segmentation algorithm to the problem of multiple sclerosis (MS) lesion segmentation in multi-modal MRI. Conventionally, JLF requires a set of atlas images to be co-registered to the target image using deformable registration. However, given the variable spatial distribution of lesions in the brain, whole-brain deformable registration is unlikely to line up lesions between atlases and the target image. As a solution, we propose to first pre-segment the target image using an intensity regression based technique, yielding a set of "candidate" lesions...
September 2017: Patch-based techniques in medical imaging: third International Workshop, Patch-MI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings
https://www.readbyqxmd.com/read/29695284/dosimetric-feasibility-of-4dct-ventilation-imaging-guided-proton-therapy-for-locally-advanced-non-small-cell-lung-cancer
#12
Qijie Huang, Salma K Jabbour, Zhiyan Xiao, Ning Yue, Xiao Wang, Hongbin Cao, Yu Kuang, Yin Zhang, Ke Nie
BACKGROUND: The principle aim of this study is to incorporate 4DCT ventilation imaging into functional treatment planning that preserves high-functioning lung with both double scattering and scanning beam techniques in proton therapy. METHODS: Eight patients with locally advanced non-small-cell lung cancer were included in this study. Deformable image registration was performed for each patient on their planning 4DCTs and the resultant displacement vector field with Jacobian analysis was used to identify the high-, medium- and low-functional lung regions...
April 25, 2018: Radiation Oncology
https://www.readbyqxmd.com/read/29667933/a-cbct-study-of-the-gravity-induced-movement-in-rotating-rabbits
#13
Jeffrey Barber, Chun-Chien Shieh, William Counter, Jonathan R Sykes, Peter Bennett, Verity Ahern, Stéphanie Corde, Soo-Min Heng, Paul White, Michael Jackson, Paul Liu, Paul J Keall, Ilana Feain
Fixed-beam radiotherapy systems with subjects rotating about a longitudinal (horizontal) axis are subject to gravity-induced motion. Limited reports on the degree of this motion, and any deformation, has been reported previously. The purpose of this study is to quantify the degree of anatomical motion caused by rotating a subject around a longitudinal axis, using cone-beam CT (CBCT). 
 
 In the current study, a purpose-made longitudinal rotating was aligned to a Varian TrueBeam kV imaging system...
April 18, 2018: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29664336/left-ventricular-myocardial-deformation-on-cine-mr-images-relationship-to-severity-of-disease-and-prognosis-in-amyloid-light-chain-amyloidosis
#14
Ke Wan, Jiayu Sun, Dan Yang, Hong Liu, Jie Wang, Wei Cheng, Qing Zhang, Zhi Zeng, Tianjing Zhang, Andreas Greiser, Marie-Pierre Jolly, Yuchi Han, Yucheng Chen
Purpose To measure left ventricular (LV) myocardial strain with cine magnetic resonance (MR) imaging and a deformable registration algorithm (DRA) and to assess the prognostic value of myocardial strain in patients with light-chain (AL) amyloidosis. Materials and Methods In this prospective study, 78 consecutive patients with AL amyloidosis who underwent contrast material-enhanced cardiac MR imaging were enrolled at West China Hospital. LV myocardial strains and late gadolinium enhancement (LGE) were evaluated...
April 17, 2018: Radiology
https://www.readbyqxmd.com/read/29664218/parotid-gland-radiation-dose-xerostomia-relationships-based-on-actual-delivered-dose-for-nasopharyngeal-carcinoma
#15
Jingjiao Lou, Pu Huang, Changsheng Ma, Yue Zheng, Jinhu Chen, Yueqiang Liang, Hongsheng Li, Yong Yin, Danhua Liu, Gang Yu, Dengwang Li
Xerostomia induced by radiotherapy is a common toxicity for head and neck carcinoma patients. In this study, the deformable image registration of planning computed tomography (CT) and weekly cone-beam CT (CBCT) was used to override the Hounsfield unit value of CBCT, and the modified CBCT was introduced to estimate the radiation dose delivered during the course of treatment. Herein, the beams from each patient's treatment plan were applied to the modified CBCT to construct the weekly delivered dose. Then, weekly doses were summed together to obtain the accumulated dose...
April 17, 2018: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/29663370/deformable-torso-phantoms-of-chinese-adults-for-personalized-anatomy-modelling
#16
Hongkai Wang, Xiaobang Sun, Tongning Wu, Congsheng Li, Zhonghua Chen, Meiying Liao, Mengci Li, Wen Yan, Hui Huang, Jia Yang, Ziyu Tan, Libo Hui, Yue Liu, Hang Pan, Yue Qu, Zhaofeng Chen, Liwen Tan, Lijuan Yu, Hongcheng Shi, Li Huo, Yanjun Zhang, Xin Tang, Shaoxiang Zhang, Changjian Liu
In recent years, there has been increasing demand for personalized anatomy modelling for medical and industrial applications, such as ergonomics device development, clinical radiological exposure simulation, biomechanics analysis, and 3D animation character design. In this study, we constructed deformable torso phantoms that can be deformed to match the personal anatomy of Chinese male and female adults. The phantoms were created based on a training set of 79 trunk computed tomography (CT) images (41 males and 38 females) from normal Chinese subjects...
April 16, 2018: Journal of Anatomy
https://www.readbyqxmd.com/read/29662918/gifted-demons-deformable-image-registration-with-local-structure-preserving-regularization-using-supervoxels-for-liver-applications
#17
Bartłomiej W Papież, James M Franklin, Mattias P Heinrich, Fergus V Gleeson, Michael Brady, Julia A Schnabel
Deformable image registration, a key component of motion correction in medical imaging, needs to be efficient and provides plausible spatial transformations that reliably approximate biological aspects of complex human organ motion. Standard approaches, such as Demons registration, mostly use Gaussian regularization for organ motion, which, though computationally efficient, rule out their application to intrinsically more complex organ motions, such as sliding interfaces. We propose regularization of motion based on supervoxels, which provides an integrated discontinuity preserving prior for motions, such as sliding...
April 2018: Journal of Medical Imaging
https://www.readbyqxmd.com/read/29661254/the-risk-and-predictors-for-severe-radiation-pneumonitis-in-lung-cancer-patients-treated-with-thoracic-reirradiation
#18
Chengbo Ren, Tianlong Ji, Tingting Liu, Jun Dang, Guang Li
BACKGROUND: Thoracic reirradiation (re-RT) is increasingly administered. However, radiation pneumonitis (RP) remains to be the most common side effect from retreatment. This study aimed to determine the risk and predictors for severe RP in patients receiving thoracic re-RT. METHODS: Sixty seven patients with lung cancer received thoracic re-RT for recurrent or metastatic disease. Three-dimensional conformal radiotherapy (3D-CRT)/intensity modulated radiotherapy (IMRT) was used for 60 patients, and stereotactic body radiation therapy (SBRT) was used in 7 patients...
April 16, 2018: Radiation Oncology
https://www.readbyqxmd.com/read/29659023/a-dynamic-model-based-approach-to-motion-and-deformation-tracking-of-prosthetic-valves-from-biplane-x-ray-images
#19
Martin G Wagner, Charles R Hatt, David A P Dunkerley, Lindsay E Bodart, Amish N Raval, Michael A Speidel
PURPOSE: Transcatheter aortic valve replacement (TAVR) is a minimally invasive procedure in which a prosthetic heart valve is placed and expanded within a defective aortic valve. The device placement is commonly performed using two-dimensional fluoroscopic imaging. Within this work, we propose a novel technique to track the motion and deformation of the prosthetic valve in three dimensions based on biplane fluoroscopic image sequences. METHODS: The tracking approach uses a parameterized point cloud model of the valve stent which can undergo rigid 3D transformation and different modes of expansion...
April 16, 2018: Medical Physics
https://www.readbyqxmd.com/read/29658392/reconstruction-of-a-deformed-tumor-based-on-fiducial-marker-registration-a-computational-feasibility-study
#20
Ye Han, Emily Oakley, Gal Shafirstein, Yoed Rabin, Levent Burak Kara
Interstitial photodynamic therapy has shown promising results in the treatment of locally advanced head and neck cancer. In this therapy, systemic administration of a light-sensitive drug is followed by insertion of multiple laser fibers to illuminate the tumor and its margins. Image-based pretreatment planning is employed in order to deliver a sufficient light dose to the complex locally advanced head-and-neck cancer anatomy, in order to meet clinical requirements. Unfortunately, the tumor may deform between pretreatment imaging for the purpose of planning and intraoperative imaging when the plan is executed...
January 1, 2018: Technology in Cancer Research & Treatment
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