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Taking information as material to realize non-electronic physical computing is a promising idea, which facilitates the integration of technologies in different fields such as chemistry, biology, and mechanical control into a new computing platform. Here, we propose a novel, efficient and robust manipulation platform that drives droplet computing by way of inertial force. Combining this with droplet flow path design, we demonstrated multiple basic functions of droplet manipulation, including storage, dosing, interrupts, controllable release and addressing. These basic functions without external control lay the foundation for the realization of droplet calculation. We developed AND, OR, and XOR logic gates of the "liquid circuit" and combined them into a binary adder, which successfully completed the addition of four-digit binary numbers through droplet movement. Moreover, we attempted to perform algorithmic design for biological information under the control of droplets based on synchronous logical operations, developing the possibility of biological applications. This programmable physical computing system exists independently of electronic computing, aiming to supplement and expand the computing methods outside the field of electronic technology and to open a new method for the algorithmic operation of materials after combining new physical computing technologies such as biological or chemical computing.

BackgroundAlthough recanalization rates constantly increase (>80%), a favorable clinical outcome is achieved in only 45–55% of patients undergoing mechanical thrombectomy (MT) for anterior circulation stroke. Collateral circulation seems to play a major role in determining this discrepancy. The aim of the study was to investigate a novel angiographic landmark assessing the collateral venous phase (CVP) compared with the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) score, based on the arterial collateral assessment.MethodsTwo hundred patients with anterior circulation stroke treated by MT between 2016 and 2021 were included. The ASITN/SIR score and the presence of CVP were blindly evaluated by expert neuroradiologists. Three subanalyses were performed comparing patients with good versus poor collaterals, CVP presence versus absence, and a composite analysis including both ASITN/SIR and CVP grading results.ResultsGood collateral circulation (ASITN >2) was observed in 113 patients (56.5%) whereas CVP was present in 90 patients (45%) and mostly in patients with good collaterals. Favorable clinical and neuroradiological outcomes were more likely observed in patients with both good collaterals and the presence of CVP than in those with good collaterals and absence of CVP (modified Rankin Scale score 0–2: 77.3% vs 7.9%, pConclusionsThe presence of CVP improves the angiographic assessment of collateral circulation. CVP could be proposed as a new imaging landmark to better understand the functionality of collaterals.

Porous organic polymers have received considerable attention in recent years because of their applicability as biomaterials. In particular, their hierarchical pore structures, variable morphologies, and tunable biological properties make them suitable as drug-delivery systems. In this review, the synthetic and post forming/control methods including templated methods, template-free methods, mechanical methods, electrospun methods, and 3D printing methods for controlling the hierarchical structures and morphologies of porous organic polymers are discussed, and the different methods affecting their specific surface areas, hierarchical structures, and unique morphologies are highlighted in detail. In addition, we discuss their applications in drug encapsulation and the development of stimuli (pH, heat, light, and dual-stimuli)-responsive materials, focusing on their use for targeted drug release and as therapeutic agents. Finally, we present an outlook concerning the research directions and applications of porous polymer-based drug delivery systems.

Purpose When the mobile manipulator is traveling on an unconstructed terrain, the external disturbance is generated. The load on the end of the mobile manipulator will be affected strictly by the disturbance. The purpose of this paper is to reject the disturbance and keep the end effector in a stable pose all the time, a control method is proposed for the onboard manipulator. Design/methodology/approach In this paper, the kinematics and dynamics models of the end pose stability control system for the tracked robot are built. Through the guidance of this model information, the control framework based on active disturbance rejection control (ADRC) is designed, which keeps the attitude of the end of the manipulator stable in the pitch, roll and yaw direction. Meanwhile, the control algorithm is operated with cloud computing because the research object, the rescue robot, aims to be lightweight and execute work with remote manipulation. Findings The challenging simulation experiments demonstrate that the methodology can achieve valid stability control performance in the challenging terrain road in terms of robustness and real-time. Originality/value This research facilitates the stable posture control of the end-effector of the mobile manipulator and maintains it in a suitable stable operating environment. The entire system can normally work even in dynamic disturbance scenarios and uncertain nonlinear modeling. Furthermore, an example is given to guide the parameter tuning of ADRC by using model information and estimate the unknown internal modeling uncertainty, which is difficult to be modeled or identified.

ObjectiveTo determine whether hemisphere involvement and infarct location on the Alberta Stroke Program CT Score (ASPECTS) template should serve as predictors of 90-day clinical outcome in patients with acute ischemic stroke with pretreatment diffusion-weighted imaging (DWI)–ASPECTS 0–5 treated with mechanical thrombectomy (MT).MethodsWe analyzed data of all consecutive patients included in the Endovascular Treatment in Ischemic Stroke registry between January 1, 2012, and August 31, 2018, who presented with a pretreatment DWI-ASPECTS 0–5 and underwent MT. Multivariable analyses were performed in order to identify the role of infarct location and hemisphere involvement on good outcome defined by a modified Rankin Scale (mRS) score 0–2 at 90 days and on the whole distribution of mRS (shift analysis).ResultsA total of 344 patients with a DWI-ASPECTS 0–5 (median 4, IQR 3–5) were included. Neither infarct location nor hemisphere involvement was found to be an independent predictor of good outcome. Involvement of the M6 region in right-sided strokes (adjusted odds ratio [aOR] 2.6, 99% confidence interval [CI] 1.14–5.8; p = 0.003) and the internal capsule in left-sided strokes (aOR 2.6, 99% CI 0.8–7.9; p < 0.020) independently predicted increased disability on the mRS distribution in the affected subpopulations.ConclusionOur study suggests that neither hemisphere nor infarct location should be considered as an exclusion criterion for MT in patients with stroke with pretreatment DWI-ASPECTS 0–5. The involvement of specific regions of interest was associated with increased disability. These may provide valuable information regarding stroke management options and neurologic recovery for use of caregivers in the postacute phase.

BACKGROUND Preeclampsia (PE) and intra-uterine growth restriction (IUGR) are two major pregnancy complications due to abnormal placental vasculogenesis. Data on whole fetoplacental vasculature are still missing to better understand these pathologies. Ex-vivo magnetic resonance imaging (MRI) angiography has been developed to characterize the human placental vasculature by injecting contrast within the umbilical cord. OBJECTIVE The primary objective is to compare the vascular architecture of placenta between physiological and pathological pregnancies. Secondary objectives are (i) to analyse vascularization indices and texture features according to the group and within comparable gestational age (ii) to compare de vascularization indices to histological analysis. METHODS This is a prospective controlled study. We expect to include 100 placentas: 40 from normal pregnancies and 60 from pathological pregnancies with 30 for IUGR and 30 for PE. Ex-vivo MRI acquisition will be performed shortly after delivery and with preparation by injection within the umbilical cord. The vascular architecture will be quantitatively described by vascularization indices measured from ex-vivo MRI angiography data. Comparisons of vascularization indices and texture features according to the group and within comparable gestational age will be also performed. After MR acquisition, placental histopathological analysis will be performed. RESULTS The enrolment of women began in November 2019. In view of the recruitment capacity of our institution and the availability of the MRI, the recruitment should be completed by March 2022. As of November 2021, we enrolled 70% of the population. CONCLUSIONS This study protocol aims to provide information about the fetal side of placental vascular architecture in normal and pathological placenta with MRI. CLINICALTRIAL NCT 04389099 (Clinical Trial)

Background Preeclampsia (PE) and intrauterine growth restriction (IUGR) are 2 major pregnancy complications due to abnormal placental vasculogenesis. Data on whole fetoplacental vasculature are still missing; hence, these pathologies are not well understood. Ex vivo magnetic resonance imaging (MRI) angiography has been developed to characterize the human placental vasculature by injecting a contrast agent within the umbilical cord. Objective The primary objective of this study is to compare the placental vascular architecture between normal and pathological pregnancies. This study’s secondary objectives are to (1) compare texture features on MRI between groups (normal and pathological), (2) quantitatively compare the vascular architecture between both pathological groups (pathological IUGR, and pathological PE), (3) evaluate the quality of the histological examination in injected placentas, and (4) compare vascularization indices to histological characteristics. Methods This is a prospective controlled study. We expect to include 100 placentas: 40 from normal pregnancies and 60 from pathological pregnancies (30 for IUGR and 30 for PE). Ex vivo MR image acquisition will be performed shortly after delivery and with preparation by injection of a contrast agent in the umbilical cord. The vascular architecture will be quantitatively described by vascularization indices measured from ex vivo MRI angiography data. Comparisons of vascularization indices and texture features in accordance with the group and within comparable gestational age will be also performed. After MR image acquisition, placental histopathological analysis will be performed. Results The enrollment of women began in November 2019. In view of the recruitment capacity of our institution and the availability of the MRI, recruitment should be completed by March 2022. As of November 2021, we enrolled 70% of the intended study population. Conclusions This study protocol aims to provide information about the fetal side of placental vascular architecture in normal and pathological placenta through MRI. Trial Registration Clinicaltrials.gov NCT04389099; https://clinicaltrials.gov/ct2/show/NCT04389099 International Registered Report Identifier (IRRID) DERR1-10.2196/35051

Final lesion volume (FLV) is a surrogate outcome measure in anterior circulation stroke (ACS). In posterior circulation stroke (PCS), this relation is plausibly understudied due to a lack of methods that automatically quantify FLV. The applicability of deep learning approaches to PCS is limited due to its lower incidence compared to ACS. We evaluated strategies to develop a convolutional neural network (CNN) for PCS lesion segmentation by using image data from both ACS and PCS patients. We included follow-up non-contrast computed tomography scans of 1018 patients with ACS and 107 patients with PCS. To assess whether an ACS lesion segmentation generalizes to PCS, a CNN was trained on ACS data (ACS-CNN). Second, to evaluate the performance of only including PCS patients, a CNN was trained on PCS data. Third, to evaluate the performance when combining the datasets, a CNN was trained on both datasets. Finally, to evaluate the performance of transfer learning, the ACS-CNN was fine-tuned using PCS patients. The transfer learning strategy outperformed the other strategies in volume agreement with an intra-class correlation of 0.88 (95% CI: 0.83–0.92) vs. 0.55 to 0.83 and a lesion detection rate of 87% vs. 41–77 for the other strategies. Hence, transfer learning improved the FLV quantification and detection rate of PCS lesions compared to the other strategies.

Molecular diagnosis is an essential means to detect pathogens. The portable nucleic acid detection chip has excellent prospects in places where medical resources are scarce, and it is also of research interest in the field of microfluidic chips. Here, the article developed a new type of microfluidic chip for nucleic acid detection where stretching acts as the driving force. The sample entered the chip by applying capillary force. The strain valve was opened under the action of tensile force, and the spring pump generated the power to drive the fluid to flow to the detection chamber in a specific direction. The detection of coronavirus disease 2019 (COVID-19) was realized on the chip. The RT-LAMP amplification system was adopted to observe the liquid color in the detection chamber to decide whether the sample tested positive or negative qualitatively.

International audience; The physiological mechanism induced by the isocitrate dehydrogenase 1 (IDH1) mutation, associated with better treatment response in gliomas, remains unknown. The aim of this preclinical study was to characterize the IDH1 mutation through in vivo multiparametric MRI and MRS. Multiparametric MRI, including the measurement of blood flow, vascularity, oxygenation, permeability, and in vivo MRS, was performed on a 4.7 T animal MRI system in rat brains grafted with human‐derived glioblastoma U87 cell lines expressing or not the IDH1 mutation by the CRISPR/Cas9 method, and secondarily characterized with additional ex vivo HR‐MAS and histological analyses. In univariate analyses, compared with IDH1−, IDH1+ tumors exhibited higher vascular density (p

Pretreatment ischemic location may be an important determinant for functional outcome prediction in acute ischemic stroke. In total, 143 anterior circulation ischemic stroke patients in the THRACE study were included. Ischemic lesions were semi-automatically segmented on pretreatment diffusion-weighted imaging and registered on brain atlases. The percentage of ischemic tissue in each atlas-segmented region was calculated. Statistical models with logistic regression and support vector machine were built to analyze the predictors of functional outcome. The investigated parameters included: age, baseline National Institutes of Health Stroke Scale score, and lesional volume (three-parameter model), together with the ischemic percentage in each atlas-segmented region (four-parameter model). The support vector machine with radial basis functions outperformed logistic regression in prediction accuracy. The support vector machine three-parameter model demonstrated an area under the curve of 0.77, while the four-parameter model achieved a higher area under the curve (0.82). Regions with marked impacts on outcome prediction were the uncinate fasciculus, postcentral gyrus, putamen, middle occipital gyrus, supramarginal gyrus, and posterior corona radiata in the left hemisphere; and the uncinate fasciculus, paracentral lobule, temporal pole, hippocampus, inferior occipital gyrus, middle temporal gyrus, pallidum, and anterior limb of the internal capsule in the right hemisphere. In conclusion, pretreatment ischemic location provided significant prognostic information for functional outcome in ischemic stroke.

Purpose To evaluate by cardiac magnetic resonance imaging (MRI) the impact of microvascular obstruction (MVO) on regional left ventricular (LV) wall characteristics and local remodeling after acute myocardial infarction (AMI). Materials and Methods In all, 114 AMI patients underwent cardiac MRI at 3T within 2–4 days (baseline) and at 6 months (follow-up) after reperfusion. Late gadolinium enhancement and cine sequences were performed. The impact of MVO (ie, presence and extent) on regional wall thickening (WT, %), end-diastolic wall thickness (EDWT, mm), and local cavity change (mm) of LV were quantitatively analyzed. Local cavity change, calculated as surface-to-surface distance from registered endocardial surface meshes of cine imaging datasets acquired initially and at follow-up, was used to assess local remodeling. Results MVO was detected in 69 patients (60.5%). WT was significantly lower when MVO was present (P 75% with further thinning by MVO presence; and EDWT decreased with increasing MVO transmural extent (P < 0.0001). LV cavity shrank in patients without MVO, whereas it dilated in those with MVO. Local cavity changes were not significantly different by a region-to-region analysis throughout the LV within each group (P = 0.57 and 0.74, respectively). Conclusion MVO has a significant adverse effect on LV wall characteristics and LV remodeling. Postinfarct remodeling seems to be globally mediated rather than locally mediated during the first 6 months. Level of Evidence: 2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2017.

International audience

International audience; Objective: The purpose of this study was to evaluate the diagnostic performance of quantitative perfusion parameters in 3-T MRI for benign-malignant differentiation in musculoskeletal tumors.Subjects and methods: Ninety-five patients with histologically proven musculoskeletal tumors were prospectively included in this study. All patients underwent 3-T contrast-enhanced perfusion MRI with T1 mapping. The extended Tofts pharmacokinetic model was used to obtain four semiquantitative and four quantitative perfusion parameters for each tumor. Two radiologists evaluated all images and manually placed the ROIs in consensus.Results: The 95 patients had 57 (59%) benign and 38 (41%) malignant tumors. Thirty-seven (39%) were bone and 58 (61%) were soft-tissue tumors. No significant differences were found in the perfusion parameters of benign and malignant tumors (p = 0.105-0.609). The best performance for benign-malignant differentiation was found for fractional volume of the extravascular extracellular space, which yielded 79% and 38% sensitivity and specificity. When soft-tissue tumors were considered, the transfer constant from plasma to the extravascular extracellular space exhibited a significant difference (p = 0.028) and had 79% and 27% sensitivity and specificity.Conclusion: Quantitative perfusion MRI had fair sensitivity and poor specificity for benign-malignant differentiation, which was similar to that obtained with semiquantitative parameters.

Background and purpose: Infarct topography has been suggested to predict functional outcome in ischemic stroke patients. However, little evidence could be found in regard to pretreatment imaging. We aimed to elucidate the impact of pretreatment infarct topography in predicting functional outcome in acute ischemic stroke. Methods: Our work is a sub-study of THRACE. 144 acute stroke patients assigned to receive intravenous thrombolysis plus mechanical thrombectomy were included. Infarct lesions were semi-automatically segmented on baseline diffusion weighted images. Regional lesion locations were decided according to automated anatomical labeling and JHU-WhiteMatter-labels atlases. A threshold was established in order to define, for each region, which percentage of infarction can predict poor clinical outcome (3 month-mRs 3-6) and then to define whether a region could be considered as infarcted. Finally, univariate and multivariate logistic analysis were performed. Results: In univariate analysis, basal ganglia, insula, inferior frontal and inferior parietal gyrus, temporal lobe, amygdala, internal capsule, corona radiata, superior longitudinal fasciculus, posterior thalamic radiation and uncinate fasciculus lesions were implicated in poor functional outcome in left-hemisphere stroke. Significant regions in right hemisphere were basal ganglia, temporal lobe, insula, amygdala, hippocampus and uncinate fasciculus. In multivariate analysis, eloquent regions for poor functional outcome were left internal capsule (OR=0.09), left inferior parietal gyrus (OR=0.03), right superior temporal gyrus (OR=0.09) and right amygdala (OR=0.03). Conclusion: Pretreatment infarct topography provides important prognostic value in functional outcome after acute ischemic stroke, and may optimize the individualized treatment decision-making.

International audience; Purpose: Segmentation of cardiac cine MRI data is routinely used for the volumetric analysis of cardiac function. Conventionally, 2D contours are drawn on short-axis (SAX) image stacks with relatively thick slices (typically 8 mm). Here, an acquisition/reconstruction strategy is used for obtaining isotropic 3D cine datasets; reformatted slices are then used to optimize the manual segmentation workflow.Methods: Isotropic 3D cine datasets were obtained from multiple 2D cine stacks (acquired during free-breathing in SAX and long-axis (LAX) orientations) using nonrigid motion correction (cine-GRICS method) and super-resolution. Several manual segmentation strategies were then compared, including conventional SAX segmentation, LAX segmentation in three views only, and combinations of SAX and LAX slices. An implicit B-spline surface reconstruction algorithm is proposed to reconstruct the left ventricular cavity surface from the sparse set of 2D contours.Results: All tested sparse segmentation strategies were in good agreement, with Dice scores above 0.9 despite using fewer slices (3-6 sparse slices instead of 8-10 contiguous SAX slices). When compared to independent phase-contrast flow measurements, stroke volumes computed from four or six sparse slices had slightly higher precision than conventional SAX segmentation (error standard deviation of 5.4 mL against 6.1 mL) at the cost of slightly lower accuracy (bias of -1.2 mL against 0.2 mL). Functional parameters also showed a trend to improved precision, including end-diastolic volumes, end-systolic volumes, and ejection fractions).Conclusion: The postprocessing workflow of 3D isotropic cardiac imaging strategies can be optimized using sparse segmentation and 3D surface reconstruction. Magn Reson Med 79:2665-2675, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Introduction A normal placenta development is crucial for a successful pregnancy. In case of major obstetric complications such as intra-uterine growth restriction, the placental vascularization morphological alteration at macroscopic level is less known than that at microscopic scale. Ex vivo MRA has the potential to visualize whole fresh human placental vasculature fast and efficiently but can be hampered by contrast agent extravasation problem. This study aimed to provide an optimized ex vivo MRA protocol to acquire understanding of global human placenta vasculature morphology. Methods Six fresh normal human placentas were imaged with two contrast agents (i.e. Gd-chelate and pump oil) using different imaging parameters on a 3T clinical MR scanner (GE). The contrast to noise ratio, signal to noise ratio and enhancement efficiency were assessed in order to decide which contrast agent and imaging protocol was better. In the end, morphology indices were measured based on the 3D vasculature models reconstructed from the placentas imaged with the optimized protocol. Results With the same imaging parameters, the CNR and the enhancement efficiency of images enhanced with pump oil were superior to those using Gd-chelate. Enhanced by pump oil, an optimized ex vivo MRA protocol was determined, leading to a clear 3D visualization and reconstruction of human placenta vascularization. Discussion The proposed ex viv o MRA method is easy to manipulate, and can be used to investigate the human placental vasculature morphology. The acquired data are of good quality and can be used for characterization of placenta vascularization morphology.

To evaluate intra-tumour and striated muscle T1 value heterogeneity and the influence of different methods of T1 estimation on the variability of quantitative perfusion parameters. Eighty-two patients with a histologically confirmed musculoskeletal tumour were prospectively included in this study and, with ethics committee approval, underwent contrast-enhanced MR perfusion and T1 mapping. T1 value variations in viable tumour areas and in normal-appearing striated muscle were assessed. In 20 cases, normal muscle perfusion parameters were calculated using three different methods: signal based and gadolinium concentration based on fixed and variable T1 values. Tumour and normal muscle T1 values were significantly different (p = 0.0008). T1 value heterogeneity was higher in tumours than in normal muscle (variation of 19.8% versus 13%). The T1 estimation method had a considerable influence on the variability of perfusion parameters. Fixed T1 values yielded higher coefficients of variation than variable T1 values (mean 109.6 ± 41.8% and 58.3 ± 14.1% respectively). Area under the curve was the least variable parameter (36%). T1 values in musculoskeletal tumours are significantly different and more heterogeneous than normal muscle. Patient-specific T1 estimation is needed for direct inter-patient comparison of perfusion parameters. • T1 value variation in musculoskeletal tumours is considerable. • T1 values in muscle and tumours are significantly different. • Patient-specific T1 estimation is needed for comparison of inter-patient perfusion parameters. • Technical variation is higher in permeability than semiquantitative perfusion parameters.

International audience; The objective of this study was to develop a simple and useful injection protocol for imaging cadaveric vascularization and dissection. Mixtures of contrast agent and cast product should provide adequate contrast for two types of ex vivo imaging (MRI and CT) and should harden to allow gross dissection of the injected structures. We tested the most popular contrast agents and cast products, and selected the optimal mixture composition based on their availability and ease of use. All mixtures were first tested in vitro to adjust dilution parameters of each contrast agent and to fine-tune MR imaging acquisition sequences. Mixtures were then injected in 24 pig livers and one human pancreas for MR and computed tomography (CT) imaging before anatomical dissection. Colorized latex, gadobutrol and barite mixture met the above objective. Mixtures composed of copper sulfate (CuSO 4) gadoxetic acid (for MRI) and iodine (for CT) gave an inhomogeneous signal or extravasation of the contrast agent. Agar did not harden sufficiently for gross dissection but appears useful for CT and magnetic resonance imaging (MRI) studies without dissection. Silicone was very hard to inject but achieved the goals of the study. Resin is particularly difficult to use but could replace latex as an alternative for corrosion instead of dissection. This injection protocol allows CT and MRI images to be obtained of cadaveric vascularization and anatomical casts in the same anatomic specimen. Post-imaging processing software allow easy 3D reconstruction of complex anatomical structures using this technique. Applications are numerous, e.g. surgical training, teaching methods, postmortem anatomic studies, pathologic studies, and forensic diagnoses.

International audience; Goal: A novel magnetic resonance (MR) compatible accelerometer for respiratory motion sensing (MARMOT) is developed as a surrogate of the vendors' pneumatic belts. We aim to model and correct respiratory motion for free-breathing thoracic-abdominal MR imaging and to simplify patient installation.Methods: MR compatibility of MARMOT sensors was assessed in phantoms and its motion modeling/correction efficacy was demonstrated on 21 subjects at 3 T. Respiration was modeled and predicted from MARMOT sensors and pneumatic belts, based on real-time images and a regression method. The sensor accuracy was validated by comparing motion errors in the liver/kidney. Sensor data were also exploited as inputs for motion-compensated reconstruction of free-breathing cardiac cine MR images. Multiple and single sensor placement strategies were compared.Results: The new sensor is compatible with the MR environment. The average motion modeling and prediction errors with MARMOT sensors and with pneumatic belts were comparable (liver and kidney) and were below 2 mm with all tested configurations (belts, multiple/single MARMOT sensor). Motion corrected cardiac cine images were of improved image quality, as assessed by an entropy metric (p < 10-6), with all tested configurations. Expert readings revealed multiple MARMOT sensors were the best (p < 0.03) and the single MARMOT sensor was similar to the belts (nonsignificant in two of the three readers).Conclusion: The proposed sensor can model and predict respiratory motion with sufficient accuracy to allow free-breathing MR imaging strategy.Significance: It provides an alternative sensor solution for the respiratory motion problem during MR imaging and may improve the convenience of patient setup.

International audience; OBJECTIVE:To evaluate the performance of quantitative diffusion-weighted imaging (DWI) correlated with T2 signal in differentiating non-fatty benign from malignant tumors.MATERIAL AND METHODS:A total of 76 patients with a histologically confirmed non-fatty soft tissue tumors (46 benign and 30 malignant) were prospectively included in this ethics committee approved study. All patients signed an informed consent and underwent MRI with DWI with two b values (0 and 600). ADC values from the solid components of these tumors were obtained and were correlated with the lesion's signal intensity on T2-weighted fat-saturated sequences. ADC values were obtained from adjacent normal muscle to allow calculation of tumor/muscle ADC ratios.RESULTS:There were 58 hyperintense and 18 iso or hypointense lesions. All hypointense lesions were benign. The mean ADC values for benign and malignant tumors were 1.47 ± 0.54 × 10(-3) and 1.17 ± 0.38 × 10(-3) mm(2)/s respectively (p

We aim to quantitatively characterise the knee joint function in vivo under body-weight-bearing conditions via subject-specific models extracted from magnetic resonance (MR) data, in order to better understand the knee joint kinematic function in 3D. Six healthy volunteers without any record of knee abnormality were scanned using a combined MR imaging strategy to record quasi-squatting motion and 3D knee anatomy. After a semi-automatic segmentation to delineate tibio-femoral articulation components, motion data were mapped to the anatomical data using a bi-rigid registration in order to achieve six degrees of freedom. The individual knee joint function was characterised by analysing the tibio-femoral articulation contact mechanism based on the reconstructed models in 3D and MR images in 2D. Contact points were extracted and their trajectory was plotted on the tibia plateau. The 3D models clearly show the relative rotation and gliding between tibia and femur during global flexion. Within the measured flexion arc, the contact points move less between 30 $$^{\circ }$$ and 100 $$^{\circ }$$ on both tibial plateaux as compared to that on the rest of the flexion arc. Four out of the six volunteers showed a global pattern of less moving extent of contact points on the medial tibial plateau than on the lateral tibial plateau in both 3D and 2D. The proposed subject-specific model is able to characterise knee joint kinematic function. It provides a way to describe knee joint surface kinematics quantitatively, which may help to better understand the knee function and joint derangements.