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Deformable Image Registration

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https://www.readbyqxmd.com/read/28444772/multi-atlas-approach-with-local-registration-goodness-weighting-for-mri-based-electron-density-mapping-of-head-and-neck-anatomy
#1
Reza Farjam, Neelam Tyagi, Harini Veeraraghavan, Aditya Apte, Kristen Zakian, Margie A Hunt, Joseph O Deasy
PURPOSE: The growing use of magnetic resonance imaging (MRI) as a substitute for computed tomography-based treatment planning requires the development of effective algorithms to generate electron density maps for treatment planning and patient setup verification. The purpose of this work was to develop a method to synthesize computerized tomography (CT) for MR-only radiotherapy of head and neck cancer patients. METHODS: The algorithm is based on registration of multiple patient datasets containing both MRI and CT images (a "multi-atlas" algorithm)...
April 26, 2017: Medical Physics
https://www.readbyqxmd.com/read/28436922/the-feasibility-of-manual-parameter-tuning-for-deformable-breast-mr-image-registration-from-a-multi-objective-optimization-perspective
#2
Kleopatra Pirpinia, Peter Bosman, Claudette Loo, Gonneke Winter-Warnars, Natasja Janssen, Astrid Scholten, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
Deformable image registration is typically formulated as an optimization problem involving a linearly weighted combination of terms that correspond to objectives of interest (e.g., similarity, deformation magnitude). The weights, along with multiple other parameters, need to be manually tuned for each application, a task currently mainly addressed via trial-and-error approaches. Such approaches can only be successful if there is a sensible interplay between parameters, objectives, and desired registration outcome...
April 24, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28436107/a-complete-4dct-ventilation-functional-avoidance-virtual-trial-developing-strategies-for-prospective-clinical-trials
#3
Timothy Waxweiler, Leah Schubert, Quentin Diot, Austin Faught, Kelly Stuhr, Richard Castillo, Edward Castillo, Thomas Guerrero, Chad Rusthoven, Laurie Gaspar, Brian Kavanagh, Moyed Miften, Yevgeniy Vinogradskiy
INTRODUCTION: 4DCT-ventilation is an exciting new imaging modality that uses 4DCT data to calculate lung-function maps. Because 4DCTs are acquired as standard of care for lung cancer patients undergoing radiotherapy, 4DCT-ventiltation provides functional information at no extra dosimetric or monetary cost to the patient. The development of clinical trials is underway to use 4DCT-ventilation imaging to spare functional lung in patients undergoing radiotherapy. The purpose of this work was to perform a virtual trial using retrospective data to develop the practical aspects of a 4DCT-ventilation functional avoidance clinical trial...
April 24, 2017: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28431275/learning-non-rigid-deformations-for-robust-constrained-point-based-registration-in-image-guided-mr-trus-prostate-intervention
#4
John A Onofrey, Lawrence H Staib, Saradwata Sarkar, Rajesh Venkataraman, Cayce B Nawaf, Preston C Sprenkle, Xenophon Papademetris
Accurate and robust non-rigid registration of pre-procedure magnetic resonance (MR) imaging to intra-procedure trans-rectal ultrasound (TRUS) is critical for image-guided biopsies of prostate cancer. Prostate cancer is one of the most prevalent forms of cancer and the second leading cause of cancer-related death in men in the United States. TRUS-guided biopsy is the current clinical standard for prostate cancer diagnosis and assessment. State-of-the-art, clinical MR-TRUS image fusion relies upon semi-automated segmentations of the prostate in both the MR and the TRUS images to perform non-rigid surface-based registration of the gland...
April 12, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28426148/three-dimensional-finite-element-based-deformable-image-registration-for-evaluation-of-pleural-cavity-irradiation-during-photodynamic-therapy
#5
Rozhin Penjweini, Michele M Kim, Timothy C Zhu
PURPOSE: Photodynamic therapy (PDT) is used after surgical resection to treat the microscopic disease for malignant pleural mesothelioma and to increase survival rates. As accurate light delivery is imperative to PDT efficacy, the deformation of the pleural volume during the surgery is studied on its impact on the delivered light fluence. In this study, a three-dimensional finite element-based (3D FEM) deformable image registration is proposed to directly match the volume of lung to the volume of pleural cavity obtained during PDT to have accurate representation of the light fluence accumulated in the lung, heart and liver (organs-at-risk) during treatment...
April 20, 2017: Medical Physics
https://www.readbyqxmd.com/read/28417113/temporal-registration-in-in-utero-volumetric-mri-time-series
#6
Ruizhi Liao, Esra A Turk, Miaomiao Zhang, Jie Luo, P Ellen Grant, Elfar Adalsteinsson, Polina Golland
We present a robust method to correct for motion and deformations in in-utero volumetric MRI time series. Spatio-temporal analysis of dynamic MRI requires robust alignment across time in the presence of substantial and unpredictable motion. We make a Markov assumption on the nature of deformations to take advantage of the temporal structure in the image data. Forward message passing in the corresponding hidden Markov model (HMM) yields an estimation algorithm that only has to account for relatively small motion between consecutive frames...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28414799/comprehensive-evaluation-of-ten-deformable-image-registration-algorithms-for-contour-propagation-between-ct-and-cone-beam-ct-images-in-adaptive-head-neck-radiotherapy
#7
Xin Li, Yuyu Zhang, Yinghua Shi, Shuyu Wu, Yang Xiao, Xuejun Gu, Xin Zhen, Linghong Zhou
Deformable image registration (DIR) is a critical technic in adaptive radiotherapy (ART) for propagating contours between planning computerized tomography (CT) images and treatment CT/cone-beam CT (CBCT) images to account for organ deformation for treatment re-planning. To validate the ability and accuracy of DIR algorithms in organ at risk (OAR) contour mapping, ten intensity-based DIR strategies, which were classified into four categories-optical flow-based, demons-based, level-set-based and spline-based-were tested on planning CT and fractional CBCT images acquired from twenty-one head & neck (H&N) cancer patients who underwent 6~7-week intensity-modulated radiation therapy (IMRT)...
2017: PloS One
https://www.readbyqxmd.com/read/28408290/automated-template-based-brain-localization-and-extraction-for-fetal-brain-mri-reconstruction
#8
Sébastien Tourbier, Clemente Velasco-Annis, Vahid Taimouri, Patric Hagmann, Reto Meuli, Simon K Warfield, Meritxell Bach Cuadra, Ali Gholipour
Most fetal brain MRI reconstruction algorithms rely only on brain tissue-relevant voxels of low-resolution (LR) images to enhance the quality of inter-slice motion correction and image reconstruction. Consequently the fetal brain needs to be localized and extracted as a first step, which is usually a laborious and time consuming manual or semi-automatic task. We have proposed in this work to use age-matched template images as prior knowledge to automatize brain localization and extraction. This has been achieved through a novel automatic brain localization and extraction method based on robust template-to-slice block matching and deformable slice-to-template registration...
April 10, 2017: NeuroImage
https://www.readbyqxmd.com/read/28402714/3d-dental-image-registration-using-exhaustive-deformable-models-a-comparative-study
#9
M-P Kalla, T L Economopoulos, G K Matsopoulos
OBJECTIVE: Image registration is commonly used in dental applications for aligning imaging data sets, which is particularly useful when assessing the progression or regression of particular pathomorphic conditions. However, due to the nature of the processed data or the data acquisition process itself, rigid body registration may be insufficient to accurately align the processed data sets. In such cases, deformable models are employed. This study presents a comparison of four well-established deformable models for aligning Cone-Beam Computed Tomography (CBCT) volumes...
April 12, 2017: Dento Maxillo Facial Radiology
https://www.readbyqxmd.com/read/28398630/mitigating-differential-baseline-shifts-in-locally-advanced-lung-cancer-patients-using-an-average-anatomy-model
#10
Mehrsima Abdoli, Simon R van Kranen, Uros Stankovic, Maddalena M G Rossi, Jose S A Belderbos, Jan-Jakob Sonke
BACKGROUND AND PURPOSE: Differential baseline shifts between primary tumor and involved lymph nodes in locally advanced lung cancer patients compromise the accuracy of radiotherapy. The purpose of this study was to evaluate the performance of an average anatomy model (AAM) derived from repeat imaging and deformable registration to reduce these geometrical uncertainties. METHODS AND MATERIALS: An in-house implementation of a B-Spline deformable image registration (DIR) algorithm was first validated using three different validation approaches: 1) a circle method to test the consistency of the DIR, 2) fiducial marker target registration error, and 3) the recovery of a known deformation vector field (DVF)...
April 11, 2017: Medical Physics
https://www.readbyqxmd.com/read/28393049/apparatus-for-histological-validation-of-in-vivo-and-ex-vivo-magnetic-resonance-imaging-of-the-human-prostate
#11
Roger M Bourne, Colleen Bailey, Edward William Johnston, Hayley Pye, Susan Heavey, Hayley Whitaker, Bernard Siow, Alex Freeman, Greg L Shaw, Ashwin Sridhar, Thomy Mertzanidou, David J Hawkes, Daniel C Alexander, Shonit Punwani, Eleftheria Panagiotaki
This article describes apparatus to aid histological validation of magnetic resonance imaging studies of the human prostate. The apparatus includes a 3D-printed patient-specific mold that facilitates aligned in vivo and ex vivo imaging, in situ tissue fixation, and tissue sectioning with minimal organ deformation. The mold and a dedicated container include MRI-visible landmarks to enable consistent tissue positioning and minimize image registration complexity. The inclusion of high spatial resolution ex vivo imaging aids in registration of in vivo MRI and histopathology data...
2017: Frontiers in Oncology
https://www.readbyqxmd.com/read/28391601/retrospective-evaluation-of-cerebral-tumors-resect-a-clinical-database-of-pre-operative-mri-and-intra-operative-ultrasound-in-low-grade-glioma-surgeries
#12
Yiming Xiao, Maryse Fortin, Geirmund Unsgård, Hassan Rivaz, Ingerid Reinertsen
PURPOSE: The advancement of medical image processing techniques, such as image registration, can effectively help improve the accuracy and efficiency of brain tumor surgeries. However, it is often challenging to validate these techniques with real clinical data due to the rarity of such publicly available repositories. ACQUISITION AND VALIDATION METHODS: Pre-operative magnetic resonance images (MRI), and intra-operative ultrasound (US) scans were acquired from 23 patients with low-grade glioma who underwent surgeries at St...
April 9, 2017: Medical Physics
https://www.readbyqxmd.com/read/28391583/3d-intra-operative-ultrasound-and-mr-image-guidance-pursuing-an-ultrasound-based-management-of-brainshift-to-enhance-neuronavigation
#13
Marco Riva, Christoph Hennersperger, Fausto Milletari, Amin Katouzian, Federico Pessina, Benjamin Gutierrez-Becker, Antonella Castellano, Nassir Navab, Lorenzo Bello
BACKGROUND: Brainshift is still a major issue in neuronavigation. Incorporating intra-operative ultrasound (iUS) with advanced registration algorithms within the surgical workflow is regarded as a promising approach for a better understanding and management of brainshift. This work is intended to (1) provide three-dimensional (3D) ultrasound reconstructions specifically for brain imaging in order to detect brainshift observed intra-operatively, (2) evaluate a novel iterative intra-operative ultrasound-based deformation correction framework, and (3) validate the performance of the proposed image-registration-based deformation estimation in a clinical environment...
April 8, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28391192/estimation-of-large-motion-in-lung-ct-by-integrating-regularized-keypoint-correspondences-into-dense-deformable-registration
#14
Jan Ruhaak, Thomas Polzin, Stefan Heldmann, Ivor Simpson, Heinz Handels, Jan Modersitzki, Mattias Paul Heinrich
We present a novel algorithm for the registration of pulmonary CT scans. Our method is designed for large respiratory motion by integrating sparse keypoint correspondences into a dense continuous optimization framework. The detection of keypoint correspondences enables robustness against large deformations by jointly optimizing over a large number of potential discrete displacements, whereas the dense continuous registration achieves sub-voxel alignment with smooth transformations. Both steps are driven by the same normalized gradient fields data term...
April 5, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28388623/fzuimagereg-a-toolbox-for-medical-image-registration-and-dose-fusion-in-cervical-cancer-radiotherapy
#15
Qinquan Gao, Shaohui Lin, Penggang Bai, Min Du, Xiaolei Ni, Dongzhong Ke, Tong Tong
The combination external-beam radiotherapy and high-dose-rate brachytherapy is a standard form of treatment for patients with locally advanced uterine cervical cancer. Personalized radiotherapy in cervical cancer requires efficient and accurate dose planning and assessment across these types of treatment. To achieve radiation dose assessment, accurate mapping of the dose distribution from HDR-BT onto EBRT is extremely important. However, few systems can achieve robust dose fusion and determine the accumulated dose distribution during the entire course of treatment...
2017: PloS One
https://www.readbyqxmd.com/read/28381986/simulating-longitudinal-brain-mris-with-known-volume-changes-and-realistic-variations-in-image-intensity
#16
Bishesh Khanal, Nicholas Ayache, Xavier Pennec
This paper presents a simulator tool that can simulate large databases of visually realistic longitudinal MRIs with known volume changes. The simulator is based on a previously proposed biophysical model of brain deformation due to atrophy in AD. In this work, we propose a novel way of reproducing realistic intensity variation in longitudinal brain MRIs, which is inspired by an approach used for the generation of synthetic cardiac sequence images. This approach combines a deformation field obtained from the biophysical model with a deformation field obtained by a non-rigid registration of two images...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28376237/use-of-image-registration-and-fusion-algorithms-and-techniques-in-radiotherapy-report-of-the-aapm-radiation-therapy-committee-task-group-no-132
#17
Kristy K Brock, Sasa Mutic, Todd R McNutt, Hua Li, Marc L Kessler
Image registration and fusion algorithms exist in almost every software system that creates or uses images in radiotherapy. Most treatment planning systems support some form of image registration and fusion to allow the use of multimodality and time-series image data and even anatomical atlases to assist in target volume and normal tissue delineation. Treatment delivery systems perform registration and fusion between the planning images and the in-room images acquired during the treatment to assist patient positioning...
April 4, 2017: Medical Physics
https://www.readbyqxmd.com/read/28375139/multi-stage-3d-2d-registration-for-correction-of-anatomical-deformation-in-image-guided-spine-surgery
#18
Michael Daniel Ketcha, Tharindu De Silva, Ali Uneri, Matthew Jacobson, Joseph Goerres, Gerhard Kleinszig, Sebastian Vogt, Jean-Paul Wolinsky, Jeffrey Siewerdsen
PURPOSE: A multi-stage image-based 3D-2D registration method is presented that maps annotations in a 3D image (e.g., point labels annotating individual vertebrae in preoperative CT) to an intraoperative radiograph in which the patient has undergone non-rigid anatomical deformation due to changes in patient positioning or due to the intervention itself. METHODS: The proposed method (termed msLevelCheck) extends a previous rigid registration solution (LevelCheck) to provide an accurate mapping of vertebral labels in the presence of spinal deformation...
April 4, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28372889/structure-based-deformable-image-registration-added-value-for-dose-accumulation-of-external-beam-radiotherapy-and-brachytherapy-in-cervical-cancer
#19
Laura E van Heerden, Antonetta C Houweling, Kees Koedooder, Zdenko van Kesteren, Niek van Wieringen, Coenraad R N Rasch, Bradley R Pieters, Arjan Bel
BACKGROUND AND PURPOSE: Structure-based deformable image registration (DIR) can be used to calculate accumulated brachytherapy (BT) and external-beam radiation therapy (EBRT) dose-volume histogram (DVH) parameters in cervical cancer. Since direct parameter addition does not take dose non-uniformity into account, the added value of DIR over addition methods was investigated for bladder and rectum. MATERIALS AND METHODS: For twelve patients (EBRT: 46Gy, EBRT+BT: D90 85-90GyEQD2 in equivalent dose in 2Gy fractions) the EBRT planning CT and BT planning MRI were registered using DIR...
March 31, 2017: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
https://www.readbyqxmd.com/read/28372795/a-four-dimensional-computed-tomography-comparison-of-healthy-and-asthmatic-human-lungs
#20
Nariman Jahani, Sanghun Choi, Jiwoong Choi, Babak Haghighi, Eric A Hoffman, Alejandro P Comellas, Joel N Kline, Ching-Long Lin
The purpose of this study was to explore new insights in non-linearity, hysteresis and ventilation heterogeneity of asthmatic human lungs using four-dimensional computed tomography (4D-CT) image data acquired during tidal breathing. Volumetric image data were acquired for 5 non-severe and one severe asthmatic volunteers. Besides 4D-CT image data, function residual capacity and total lung capacity image data during breath-hold were acquired for comparison with dynamic scans. Quantitative results were compared with the previously reported analysis of five healthy human lungs...
March 18, 2017: Journal of Biomechanics
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