Angle Images Research Articles

Geological mapping and chronology of lunar landing sites: Apollo 12

The lunar cratering chronology is fundamentally important, because it is not just used to determine ages for unsampled lunar surfaces, but is commonly applied to other planetary bodies. As part of a systematic study of the calibration of the lunar cratering chronology at the Apollo landing sites, we produced a new detailed geological map of the Apollo 12 landing site, using recent orbital data including Lunar Reconnaissance orbiter (LRO) Narrow Angle (NAC) and Wide Angle (WAC) images, and a Lunar Orbiter Laser Altimeter (LOLA)/SELENE merged digital elevation model (DEM), as well as Chandrayaan M3 spectral data. Using high-resolution LRO NAC images and NAC-derived DTMs, new crater size-frequency distributions (CSFDs) were measured on the updated geological units to determine crater retention ages or N(1) values (i.e., the cumulative number of craters with diameters ≥1 km). Since the Apollo 12 landing site is located in Oceanus Procellarum on a ray of Copernicus crater, it provides two possible calibration points for the lunar cratering chronology: (1) a mare basalt surface age, and (2) an approximate age for Copernicus crater via its ray material. We calibrated our new N(1) values with recently determined radiometric ages of Apollo 12 basalt samples, and compare our results with work done by Hiesinger et al. (2012) for Copernicus crater, and the Neukum (1983) chronology. The updated calibration points are consistent with the lunar chronology of Neukum (1983), which indicates that no updates to this function are currently necessary.

Pautas de tratamiento del tumor inflamatorio de Pott. Revisión bibliográfica

Introducción y objetivo: El objetivo de este estudio es proporcionar una revisión actualizada del tratamiento médico y quirúrgico en pacientes con abscesos subperiósticos secundarios a la osteomielitis del hueso frontal. Método: Se realizó una búsqueda en la base de datos PubMed, BVS (biblioteca virtual en salud España) y Scopus de las distintas opciones terapéuticas del tumor de Pott. La revisión se realizó siguiendo los criterios PRISMA. Resultados: Se seleccionaron 20 artículos en la búsqueda bibliográfica. Un total de 30 pacientes (24 varones, con media de edad de 27 años) fueron revisados. En un 90% la causa fue una rinosinusitis crónica, seguida por traumatismos locales. En la mayoría de los casos se realizó un drenaje endoscópico tipo Draf 2 (60%), 5 pacientes fueron sometidos a un Draf 3, tres a un Draf 1 y sólo uno a un Draf 2B. Un paciente fue tratado con sinuplastia con balón y otro con craneotomía externa aislada. Todos los pacientes tenían antibióticos orales o intravenosos de duración variable; aunque predomina el esquema terapéutico de vancomicina y ceftriaxona endovenosa durante 6 semanas. No hubo más complicaciones después de la intervención endoscópica sinusal. La presencia de fístulas, cicatrizaron sin necesidad de desbridamiento quirúrgico o cierre. Discusión: el tumor inflamatorio de Pott es una patología muy infrecuente. Debido a la rareza de la patología, muchos casos han sido infradiagnosticados desembocando en complicaciones intracraneales. El abordaje externo ha sido el tratamiento de elección durante años; actualmente se aboga por un abordaje endonasal guiada en ocasiones por neuronavegador sumado a la antibioticoterapia correspondiente durante un largo periodo de tiempo. Conclusiones: La mayoría de los casos de tumor inflamatorio de Pott pueden manejarse endoscópicamente. La disponibilidad de instrumentos en ángulo motorizados, videos de alta definición y sistemas de guía de imágenes han proporcionado a los otorrinolaringólogos una alternativa creíble a las técnicas tradicionales. Además, la biodisponibilidad mejorada de los antibióticos puede obviar la necesidad de una craneotomía y drenajes externos.

Quality comparison between three-dimensional T2-weighted SPACE and two-dimensional T2-weighted turbo spin echo magnetic resonance images for the brachytherapy planning evaluation of prostate and periprostatic anatomy

PurposeThe purpose of this study was to compare an isotropic three-dimensional (3D) T2-weighted sequence sampling perfection with application-optimized contrasts by using flip angle evolution (SPACE) with an axial two-dimensional T2-weighted turbo spin echo (TSE) sequence with regard to overall image quality and the delineation of normal prostate and periprostatic anatomy for low-dose-rate prostate cancer brachytherapy planning evaluation. Methods and MaterialsPatients (n = 69) with prostate cancer who had pelvic magnetic resonance imaging (MRI) for low-dose-rate brachytherapy treatment planning were included. Three radiologists independently assessed the visibility of nine anatomic structures on each sequence by using a 5-point scale and overall image quality by using a 4-point scale. The significance of the differences in diagnostic performance was tested with a Wilcoxon signed rank test. ResultsNo significant intersequence differences were found for most (7/9) anatomical structures and overall image quality. The mean scores for visibility of anatomical structures on the 3D SPACE and 2D TSE sequences, respectively, were as follows: the zonal anatomy (3.7; 3.9, p = 0.05), prostate capsule (3.9; 4.0, p = 0.08), neurovascular bundle (2.9; 2.9, p = 0.9), rectoprostatic angle (3.8; 3.8, p = 0.35), rectum (4.2; 4.3, p = 0.26), urethra (3.8; 3.9, p = 0.12), urinary bladder (4.6; 4.6, p = 0.61), and overall image quality (2.9; 2.9, p = 0.33). 3D SPACE was superior for delineation of the genitourinary diaphragm (3.8; 3.6, p = 0.003), whereas 2D TSE was superior for delineation of the seminal vesicles (3.5; 4.0, p < 0.0001). ConclusionsAnatomic delineation of the prostatic and periprostatic anatomy provided by the 3D SPACE sequence is as robust in quality as that provided by a conventional 2D TSE sequence with superior delineation of the genitourinary diaphragm. For MRI-based brachytherapy treatment planning, the 3D SPACE sequence with subcentimeter isotropic resolution can replace the 2D TSE sequence and be incorporated into standard MRI protocols.

Pose measurement and ground validation Based on lidar in-orbit

An effective ground validation method is proposed to solve the difficult problem of non-cooperative target position measurement in-orbit verification. First of all, this paper highlights the effectiveness of a light fuzzy target point cloud model visible part judgment method to search. Secondly, laser reflection intensity is used to realize the point cloud registration process, not only the influencing factors of the space radiation source to the image, but also the incident angle imaging quantitative analysis. Finally, points cloud precise registration is achieved according to the iterative algorithm. This method realizes the ground verification work of the robustness, real-time performance of the position, attitude measurement algorithm, and shortens the study cycle of the future on-orbit control task.

Single‐Layer Aberration‐Compensated Flat Lens for Robust Wide‐Angle Imaging

AbstractMetasurfaces are planarized and miniaturized versions of conventional optical elements. Subwavelength‐thick single‐layer metalenses have diffraction limited resolution for on‐axis imaging but relatively low resolution for off‐axis imaging due to off‐axial aberrations. The aberrations of planar single‐layer metalenses have been corrected by patterning two metasurfaces on both sides of a substrate to form metalens doublets with a thickness of hundreds of micrometers to millimeters. The multilevel diffractive lenses are demonstrated to achieve wide angle imaging with a thickness of several micrometers, however, the off‐axial aberrations are not compensated. Here, an epsilon‐greedy algorithm‐based scheme for achieving a planar wavelength‐thick single‐layer aberration‐compensated (SLAC) flat lens consisting of dielectric nanoring structures fabricated by 3D printing are proposed. The scheme is experimentally validated via a SLAC flat lens. This SLAC flat lens has a thickness of 1 µm, a numerical aperture of 0.45, a focal length of 1 mm, a full field of view (FOV) of 32° that enables aberration‐compensated imaging along the focal plane and monochromatic microscopic imaging with resolution better than 2.2 µm at a wavelength of 633 nm. This scheme can lead to ultrathin wide‐FOV flat lens designs as well as low‐cost mass production, which has various applications in miniscopes, mobile camera modules, and machine vision.

Immersion of Achilles tendon in phosphate-buffered saline influences T1 and T2 * relaxation times: An ex vivo study.

Robust mapping of relaxation parameters in ex vivo tissues is based on hydration and therefore requires control of the tissue treatment to ensure tissue integrity and consistent measurement conditions over long periods of time. One way to maintain the hydration of ex vivo tendon tissue is to immerse the samples in a buffer solution. To this end, various buffer solutions have been proposed; however, many appear to influence the tissue relaxation times, especially with prolonged exposure. In this work, ovine Achilles tendon tissue was used as a model to investigate the effect of immersion in phosphate-buffered saline (PBS) and the effects on the T1 and T2* relaxation times. Ex vivo samples were measured at 0 (baseline), 30 and 67 hours after immersion in PBS. Ultrashort echo time (UTE) imaging was performed using variable flip angle and echo train-shifted multi-echo imaging for T1 and T2* estimation, respectively. Compared with baseline, both T1 and T2* relaxation time constants increased significantly after 30 hours of immersion. T2* continued to show a significant increase between 30 and 67 hours. Both T1 and T2* tended to approach saturation at 67 hours. These results exemplify the relevance of stringently controlled tissue preparation and preservation techniques, both before and during MRI experiments.

Study on precise detecting and controlling technology of lag angle based on image processing

A precise method of detecting and controlling of lag angle during the optical fiber winding procedure is described in this paper. The system is composed of three modules, image collection, image processing and PC controller. Images of lag angle are collected by an industrial high-speed camera. Binary treatment on lag angle images of the motive optical fiber is done by global threshold method. Image identification of lag angle of the motive optical fiber is realized by Hough transform, thus the digital values of lag angel are obtained. PC outputs controlled variables to modify the winding motion based on detecting results so as to limit the lag angel in a precise range. The research result indicates that application of image collection and identification technology to optical fiber winding can avoid winding flaw effectively such as gap and lamination thus to improve the quality and efficiency of optical fiber winding.

Study on precise detecting and controlling technology of lag angle based on image processing

A precise method of detecting and controlling of lag angle during the optical fiber winding procedure is described in this paper. The system is composed of three modules, image collection, image processing and PC controller. Images of lag angle are collected by an industrial high-speed camera. Binary treatment on lag angle images of the motive optical fiber is done by global threshold method. Image identification of lag angle of the motive optical fiber is realized by Hough transform, thus the digital values of lag angel are obtained. PC outputs controlled variables to modify the winding motion based on detecting results so as to limit the lag angel in a precise range. The research result indicates that application of image collection and identification technology to optical fiber winding can avoid winding flaw effectively such as gap and lamination thus to improve the quality and efficiency of optical fiber winding.

Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors

A sparse recovery method for robust transmit-receive angle imaging in a bistatic MIMO radar is proposed to deal with the effect of array gain-phase errors. The impact of multiplicative array gain-phase errors is changed to be additive through model reformulation, and transmit-receive angle imaging is formulated to a sparse total least square signal problem. Then, an iterative algorithm is proposed to solve the optimization problem. Compared with existing methods, the proposed method can achieve a significant performance gain in the case that the number of snapshots is small. Simulation results verify the effectiveness of the proposed method.

Frequency induced rotation of high-contrast angular intensity fringes from an uncoated SPP device.

High-contrast angular intensity fringes are generated by reflecting laser light from an uncoated spiral phase plate (SPP) device for the first time, to the best of our knowledge. As the laser frequency going into the device is tuned, the fringes rotate. Measured transverse fringe patterns match their theoretical predicted values. They have unity contrast, and their measured intensity varies with laser frequency in a fashion similar to a Fabry-Perot etalon. This effect can be used to enable new miniature devices for angle metrology, imaging, and microscopy.

Unified Framework for the Joint Super-Resolution and Registration of Multiangle Multi/Hyperspectral Remote Sensing Images

In this article, a unified framework based on rank minimization (UFRM) is proposed for use with multiangle multi/hyperspectral remote sensing images, which simultaneously integrates image super-resolution reconstruction (SRR) and image registration. With the complementary information of different angle images and the high correlation between each band of the multi/hyperspectral images, a new image observation model is established to describe the mathematical degradation process of the observed low-resolution multiangle multi/hyperspectral images from the desired high-resolution (HR) multi/hyperspectral image. Based on the rank-one structure of the multiangle images, each observed image is decomposed into a foreground image for each angle image, and a background image, which is shared among all the multiangle images. A multichannel total variation constraint is applied to the target HR background image, with the consideration of the high correlation of different bands. Finally, an alternating minimization optimization strategy is utilized to resolve the joint cost function, which consists of the unknown image registration transformation parameters and the desired reconstruction image. As a result, the UFRM method can simultaneously achieve image registration and SRR. A number of experiments were conducted, which confirmed the superior performance of the proposed method.

Diamond Scintillation and Quality Evaluation

The quality of a diamond is not only affected by the 4Cs but also affected by fire and scintillation. The relationship between the color, clarity, fluorescence, and scintillation of a diamond is obtained by associating its scintillation area and gemological characteristics. Take images of 18 round bright cut diamonds in total, for each to rotate 30° to take one and get 12 images by rotating a circle. Rotate the images to the same angle, cut out the square image of 1000*1000 pixels, then calculate the color difference of the image of adjacent angles, and then judge whether scintillation occurs at each point to get the scintillation area of the diamond. The results showed that the lighter the color, the better the clarity and the weaker the fluorescence, then the larger the scintillation area and the more obvious the scintillation. This indicates that the scintillation area has a certain reference value for diamond quality evaluation.

3D Point Cloud Classification for Autonomous Driving via Dense-Residual Fusion Network

Compared with the state-of-the-art architectures, using the 3D point cloud as the input of the 2D convolutional neural network without preprocessing will restrict the feature expression of the network. To address this issue, we propose a high-precision classification network using bearing angle (BA) images, depth images, and RGB images. Due to the development of unmanned vehicles, determining how to recognize objects from the information collected by sensors is important. Our approach takes data from LiDAR and a camera and projects a 3D point cloud into 2D BA images and depth images. The RGB image captured by the camera is used to select the region of interest (ROI) corresponding to the point cloud. However, only adding input information is not enough to improve the classification ability of general convolutional neural networks. In our approach, we use a Dense-Residual Fusion Network (DRF-Net), which consists of Dense-Residual Blocks (DRBs). The Dense-Residual Fusion Network can achieve 97.92% accuracy with three input formats on a KITTI raw dataset.

Identification and Quantitative Assessment of Schlemm's Canal in the Eyes with 360° Angle Recession Glaucoma.

ABSTRACTSynopsisAngle recession, trabecular meshwork injury, increased trabecular pigmentation, and reduced Schlemm's canal dimensions can cause reduced aqueous outflow and unilateral glaucoma in an eye, following blunt trauma. Also, these patients are possibly at a risk to develop raised intraocular pressure (IOP) in the normal fellow eye due to reduced Schlemm's canal area.AimTo identify and quantitatively evaluate Schlemm's canal (SC) parameters by anterior segment optical coherence tomography (AS-OCT) in the patients with unilateral 360° angle recession glaucoma (ARG) and compare with the fellow normal eyes and age-related normal control.Materials and methodsSix patients with a history of unilateral ocular blunt trauma and unilateral 360° ARG, normal fellow eyes and 34 age-matched normal controls underwent anterior chamber angle imaging with corneal line scan protocol using AS-OCT. Schlemm's canal cross-sectional area (SC-CSA) and meridional and coronal diameters were measured on temporal and nasal sections at 3 and 9 o'clock positions.ResultsIn the AS-OCT cross-sectional images, SC was observed as a horizontally oval or ellipsoidal translucent space. The mean SC-CSA (1,710 ± 376.1 μm2 vs 6,100 ± 2,700 μm2, p < 0.0001), mean meridional diameter (243.6 ± 55.47 μm vs 474 ± 125.6 μm, p < 0.0001), and mean coronal diameter (32.68 ± 6.27 μm vs 57.42 ± 16.27 μm, p < 0.0001) of the SC were smaller in ARG eyes when compared with the normal eyes. The SC dimensions were reduced in the untraumatized fellow eyes of ARG patients when compared with the normal eyes (SC-SCA: 2350 ± 602.1 μm2, p = 0.001, meridional diameter: 341.8 ± 88.8 μm, p = 0.012 and coronal diameter: 31.67 ± 3.8 μm, p < 0.0001). There was no difference in the measured SC dimensions between the ARG eyes and the normal fellow eyes.ConclusionThe reduced SC parameters in the eyes with unilateral 360° ARG and the normal fellow eyes could mean that these patients probably have an underlying structural abnormality in the SC. Trabecular meshwork injury, angle recession, and increased trabecular pigmentation are probably the predisposing factors in the ARG eyes for the increase in IOP. Whether the normal fellow eyes develop IOP rise in the future needs to be seen during regular follow-up.How to cite this articleMansoori T, Reddy AA, Balakrishna N. Identification and Quantitative Assessment of Schlemm's Canal in the Eyes with 360° Angle Recession Glaucoma. J Curr Glaucoma Pract 2020;14(1):25–29.

3D diffraction imaging method using low-rank matrix decomposition

Seismic weak responses from subsurface small-scale geologic discontinuities or inhomogeneities are encoded in 3D diffractions. Separating weak diffractions from a strong reflection background is a difficult problem for diffraction imaging, especially for the 3D case when they are tangent to or interfering with each other. Most conventional diffraction separation methods ignore the azimuth discrepancy between reflections and diffractions when suppressing reflections. In fact, the reflections associated with a specific pair of azimuth-dip angle possess sparse characteristics, and the diffractions adhering to Huygens’ principle behave as low-rank components. Therefore, we have developed a 3D low-rank diffraction imaging method that uses the Mahalanobis-based low-rank and sparse matrix decomposition method for separating and imaging 3D diffractions in the azimuth-dip angle image matrix. The advantages of our 3D diffraction imaging method not only includes the handling of interfering events but also includes ensuring a better protection of weak diffractions. The numerical experiment illustrates the good performance of our method in imaging small-scale discontinuities and inhomogeneities. The field data application of carbonate reservoirs further confirms its potential value in resolving the masked small-scale cavities that can provide storage spaces and a migration pathway for petroleum.

Solar Position Acquisition Method for Polarized Light Navigation Based on ∞ Characteristic Model of Polarized Skylight Pattern

Inspired by the use of polarized information for navigation behaviors in nature, many researchers have carried out a lot of researches on bionic polarized light navigation. Due to the complexity of the atmospheric radiation transmission process, there is a lot of uncertainty for the bionic polarized light navigation method that accurately calculates the polarization information of the polarized skylight pattern pixel by pixel. This paper studies the distribution of the polarized skylight pattern under different weather conditions through a large number of observational experiments. It is found that the distribution of the angle of polarization shows a stable $\infty $ characteristic, which can reflect the macro distribution characteristics and changing laws of the polarized skylight pattern. This paper extracts the $\infty $ characteristic from the polarization angle image, then we establish a model of $\infty $ characteristic to solve the solar position by calculating the feature similarity indexes between the measured $\infty $ characteristic images and Rayleigh $\infty $ characteristic images. And we propose an improved harmony search algorithm to solve the optimal solution of the model. By searching in the Rayleigh $\infty $ characteristic image database, the solution vector corresponding to the Rayleigh $\infty $ characteristic image with the highest feature similarity index is the solar position. In this paper, experiments are performed on measured polarized images under sunny and cloudy weather, and the experimental results verify the effectiveness of the proposed algorithm.

A Non-Linear Magnetic Field Calibration Method for Filter-Based Magnetographs by Multilayer Perceptron

For filter-based magnetographs, the linear calibration method under the weak-field assumption is usually adopted; this leads to magnetic saturation effect in the regions with strong magnetic field. This article explores a new method to overcome the above disadvantage using a multilayer perceptron network, which we call MagMLP, based on a back-propagation algorithm with one input layer, five hidden layers, and one output layer. We use the data from the \textit{Spectropolarimeter} (SP) on board \textit{Hinode} to simulate single-wavelength observations for the model training, and take into account the influence of the Doppler velocity field and the filling factor. The training results show that the linear fitting coefficient (LFC) of the transverse field reaches above 0.91, and that of the longitudinal field is above 0.98. The generalization of the models is good because the corresponding LFCs are above 0.9 for the test subsets. Compared with the linear calibration method, the MagMLP is much more effective on dealing with the magnetic saturation effect. Analyzing an active region, the results of the linear calibration present an evident magnetic saturation effect in the umbra regions; the corresponding systematic error reaches values greater than 1000 G in most areas, or even exceeds 2000 G at some pixels. However, the results of MagMLP at these locations are very close to the inversion results, and the systematic errors are basically within 300 G. In addition, we find that there are many "bright spots" and "dark spots" on the inclination angle images from the inversion results of \textit{Hinode}/SP with values of 180 and 0 degrees, respectively, where the inversion is not reliable and does not produce a good result; the MagMLP handles these points well.

In Vivo Magic Angle Magnetic Resonance Imaging for Cell Tracking in Equine Low-Field MRI.

The magic angle effect increases the MRI signal of healthy tendon tissue and could be used for more detailed evaluation of tendon structure. Furthermore, it could support the discrimination of hypointense artefacts induced by contrast agents such as superparamagnetic iron oxide used for cell tracking. However, magic angle MRI of the equine superficial digital flexor tendon has not been accomplished in vivo in standing low-field MRI so far. The aim of this in vivo study was to evaluate the practicability of this magic angle technique and its benefit for tracking superparamagnetic iron oxide-labelled multipotent mesenchymal stromal cells. Six horses with induced tendinopathy in their forelimb superficial digital flexor tendons were injected locally either with superparamagnetic iron oxide-labelled multipotent mesenchymal stromal cells or serum. MRI included standard and magic angle image series in T1- and T2∗-weighted sequences performed at regular intervals. Image analysis comprised blinded evaluation and quantitative assessment of signal-to-noise ratio. The magic angle technique enhanced the tendon signal-to-noise ratio (P < 0.001). Hypointense artefacts were observable in the cell-injected superficial digital flexor tendons over 24 weeks and artefact signal-to-noise ratio differed significantly from tendon signal-to-noise ratio in the magic angle images (P < 0.001). Magic angle imaging of the equine superficial digital flexor tendon is feasible in standing low-field MRI. The current data demonstrate that the technique improves discrimination of superparamagnetic iron oxide-induced artefacts from the surrounding tendon tissue.

Six-Year Real-World Outcomes of Antivascular Endothelial Growth Factor Monotherapy and Combination Therapy for Various Subtypes of Polypoidal Choroidal Vasculopathy.

The purpose of this study was to compare 6-year visual outcomes of antivascular endothelial growth factor (anti-VEGF) monotherapy and initial combination therapy of photodynamic therapy (PDT) and anti-VEGF therapy for polypoidal choroidal vasculopathy (PCV) in a Chinese population and to investigate imaging biomarkers associated with visual outcomes. Forty-eight treatment-naive PCV eyes of 46 patients were reviewed retrospectively, which underwent anti-VEGF monotherapy or initial combination therapy. PCV was classified into 2 subtypes. Mean best-corrected visual acuity (BCVA) using logarithm of minimal angle resolution and imaging morphological features was compared. No significant differences of mean BCVA changes were noticed between anti-VEGF monotherapy and combination therapy in either subtype 1 PCV or subtype 2 PCV during 6-year period (all P values >0.05). Compared with BCVA at baseline, the mean BCVA at 72 months deteriorated significantly in eyes with subtype 1 PCV (P < 0.001), while the mean BCVA at 72 months remained stable in eyes with subtype 2 PCV (P=0.941). In subtype 2 PCV eyes with continuous retina pigment epithelium, the mean changes of BCVA in eyes treated with anti-VEGF monotherapy were better than those in eyes treated with combination therapy (P=0.020). Anti-VEGF monotherapy and combination therapy for various subtypes of PCV had comparable long-term visual outcomes in most cases in real world. Imaging biomarkers which correlate with visual outcomes and treatment response should be included in the classification of PCV and validated in real world.

Quantitative three-dimensional ultrashort echo time cones imaging of the knee joint with motion correction.

Knee degeneration involves all the major tissues in the joint. However, conventional MRI sequences can only detect signals from long T2 tissues such as the superficial cartilage, with little signal from the deep cartilage, menisci, ligaments, tendons and bone. It is highly desirable to develop new sequences that can detect signal from all major tissues in the knee. We aimed to develop a comprehensive quantitative three-dimensional ultrashort echo time (3D UTE) cones imaging protocol for a truly "whole joint" evaluation of knee degeneration. The protocol included 3D UTE cones actual flip angle imaging (3D UTE-Cones-AFI) for T1 mapping, multiecho UTE-Cones with fat suppression for T2 * mapping, UTE-Cones with adiabatic T1ρ (AdiabT1ρ ) preparation for AdiabT1ρ mapping, and UTE-Cones magnetization transfer (UTE-Cones-MT) for MT ratio (MTR) and modeling of macromolecular proton fraction (f). An elastix registration technique was used to compensate for motion during scans. Quantitative data analyses were performed on the registered data. Three knee specimens and 15 volunteers were evaluated at 3T. The elastix motion correction algorithm worked well in correcting motion artifacts associated with relatively long scan times. Much improved curve fitting was achieved for all UTE-Cones biomarkers with greatly reduced root mean square errors. The averaged T1 , T2 *, AdiabT1ρ , MTR and f for knee joint tissues of 15 healthy volunteers were reported. The 3D UTE-Cones quantitative imaging techniques (ie, T1 , T2 *, AdiabT1ρ , MTR and MT modeling) together with elastix motion correction provide robust volumetric measurement of relaxation times, MTR and f of both short and long T2 tissues in the knee joint.