Grayscale Levels Research Articles

Semiautomated analysis of embryoscope images: Using localized variance of image intensity to detect embryo developmental stages.

Embryo selection in in vitro fertilization (IVF) treatment has traditionally been done manually using microscopy at intermittent time points during embryo development. Novel technique has made it possible to monitor embryos using time lapse for long periods of time and together with the reduced cost of data storage, this has opened the door to long-term time-lapse monitoring, and large amounts of image material is now routinely gathered. However, the analysis is still to a large extent performed manually, and images are mostly used as qualitative reference. To make full use of the increased amount of microscopic image material, (semi)automated computer-aided tools are needed. An additional benefit of automation is the establishment of standardization tools for embryo selection and transfer, making decisions more transparent and less subjective. Another is the possibility to gather and analyze data in a high-throughput manner, gathering data from multiple clinics and increasing our knowledge of early human embryo development. In this study, the extraction of data to automatically select and track spatio-temporal events and features from sets of embryo images has been achieved using localized variance based on the distribution of image grey scale levels. A retrospective cohort study was performed using time-lapse imaging data derived from 39 human embryos from seven couples, covering the time from fertilization up to 6.3 days. The profile of localized variance has been used to characterize syngamy, mitotic division and stages of cleavage, compaction, and blastocoel formation. Prior to analysis, focal plane and embryo location were automatically detected, limiting precomputational user interaction to a calibration step and usable for automatic detection of region of interest (ROI) regardless of the method of analysis. The results were validated against the opinion of clinical experts. © 2015 International Society for Advancement of Cytometry.

Mineralogy evaluation and segmentation using dual‐energy microtomography

Computed tomography is a nondestructive technique that allows the visualization of internal structures of a sample. However, the attenuation coefficient of a material to radiation, shown in grayscale levels, can be interpreted as the combination of parameters of density and atomic number. Thus, the separation of different structures of equal attenuation is no simple task, requiring prior knowledge of the sample composition, which is usually not available. By calibration of a high‐resolution microtomographic system through the dual‐energy technique, using materials of known composition, it is possible to identify and segment images to obtain the spatial distribution of parameters of density and atomic number. As the combination of these two data is unique to each material, it allows the identification and separation of regions, indistinguishable in common grayscale images obtained by microtomography. In this work, we developed a methodology for the evaluation of the dual‐energy technique, as well as assessment, segmentation, and reconstruction of images on a scale of density and atomic number; added to this, we sought to develop a code in MatLab® for data, image processing, and mineralogical segmentation. The results show the capabilities of the dual‐energy technique, combined with the microtomography technique, to obtain information on the composition of the sample, its three‐dimensional spatial distribution, and separation of structures of the same composition. Copyright © 2015 John Wiley & Sons, Ltd.

Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors

This research presents signal-image post-processing techniques called Intensity-Curvature Measurement Approaches with application to the diagnosis of human brain tumors detected through Magnetic Resonance Imaging (MRI). Post-processing of the MRI of the human brain encompasses the following model functions: (i) bivariate cubic polynomial, (ii) bivariate cubic Lagrange polynomial, (iii) monovariate sinc, and (iv) bivariate linear. The following Intensity-Curvature Measurement Approaches were used: (i) classic-curvature, (ii) signal resilient to interpolation, (iii) intensity-curvature measure and (iv) intensity-curvature functional. The results revealed that the classic-curvature, the signal resilient to interpolation and the intensity-curvature functional are able to add additional information useful to the diagnosis carried out with MRI. The contribution to the MRI diagnosis of our study are: (i) the enhanced gray level scale of the tumor mass and the well-behaved representation of the tumor provided through the signal resilient to interpolation, and (ii) the visually perceptible third dimension perpendicular to the image plane provided through the classic-curvature and the intensity-curvature functional.

Abstract 11733: Assessment of Carotid Plaque Neovascularization Using Quantitative Analysis of Contrast-Enhanced Ultrasound Imaging is Useful for Risk Stratification in Patients With Coronary Artery Disease

Introduction: Extensive neovascularization in atherosclerotic plaque has been shown to be associated with plaque progression and instability, leading to atherosclerotic cardiovascular events. Contrast-enhanced ultrasound (CEUS) of the carotid artery is a potential technique for imaging plaque neovascularization. Hypothesis: Assessment of intra-plaque neovascularization of the carotid artery using quantitative analysis of CEUS provides prognostic information in patients with coronary artery disease (CAD). Methods: This study included 206 patients with stable CAD and with carotid intima-media thickness (IMT) > 1.1 mm. They underwent a CEUS examination of the carotid artery and were followed-up prospectively for < 38 months or until a cardiac event (cardiac death, non-fatal myocardial infarction [MI], unstable angina pectoris [uAP] requiring unplanned coronary revascularization, or heart failure requiring hospitalization). The degree of contrast signals measured within the carotid plaque after the intravenous injection of contrast material was quantified by calculating the increase in mean gray scale level within the region of interest of the carotid plaque, expressed as plaque enhanced intensity. Results: During the follow-up period (3 - 38 months, mean 22.8 ± 11.8 months), 31 events occurred (2 cardiac deaths, 7 non-fatal MIs, 16 uAP, and 6 heart failure). Multivariate Cox proportional hazards analysis showed that plaque enhanced intensity was a significant predictor of cardiac events independent of traditional risk factors (HR, 1.52; 95% CI, 1.20 - 1.94; p = 0.001). The addition of plaque enhanced intensity had a significant incremental effect on the area under the ROC curve (AUC) generated using baseline model of traditional risk factors (AUC: baseline model 0.69 vs. baseline model + plaque enhanced intensity 0.78, p = 0.03). The addition of the plaque enhanced intensity to the baseline risk factors resulted in net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (NRI 0.58, p = 0.003; and IDI 0.078, p = 0.03). Conclusions: The assessment of carotid plaque neovascularization using quantitative analysis of CEUS may be useful for risk stratification in patients with CAD.

Composite Biomarkers for Assessing Duchenne Muscular Dystrophy: An Initial Assessment

BackgroundCompared with individual parameters, composite biomarkers may provide a more effective means for monitoring disease progression and the effects of therapy in clinical trials than single measures. In this study, we built composite biomarkers for use in Duchenne muscular dystrophy by combining values from two objective measures of disease severity: electrical impedance myography and quantitative ultrasound and evaluating how well they correlated to standard functional measures. MethodsUsing data from an ongoing study of electrical impedance myography and quantitative ultrasound in 31 Duchenne muscular dystrophy and 26 healthy boys aged 2-14 years, we combined data sets by first creating z scores based on the normal subject data and then using simple mathematical operations (addition and multiplication) to create composite measures. These composite scores were then correlated to age and standard measures of function including the 6-minute walk test, the North Star Ambulatory Assessment, and handheld dynamometry. ResultsCombining data sets resulted in stronger correlations with all four outcomes than for either electrical impedance myography or quantitative ultrasound alone in six of eight instances. These improvements reached statistical significance (P < 0.05) in several cases. For example, the correlation coefficient for the composite measure with the North Star Ambulatory Assessment was 0.79 but was only 0.66 and 0.67 (respectively) for gray scale level and electrical impedance myography separately. ConclusionsArithmetically derived composite scores can provide stronger correlations to functional measures than isolated biomarkers. Longitudinal study of such composite markers in Duchenne muscular dystrophy clinical trials is warranted.

Effect of Gray Scale Binder Levels on Additive Manufacturing of Porous Scaffolds with Heterogeneous Properties

An additive manufacturing platform was developed for fabricating constructs with heterogeneous properties. The liquid binder amount was investigated in calcium polyphosphate bone substitutes. Two part categories were produced with 150 and 190 μm layer thickness and 70, 80, 90, 100, and 90/70% gray scale. It was shown that the gray scale level had an effect on samples with 150 μm layer thickness where porosity ranged between 43 ± 1% and 49 ± 2% and the compressive strength varied between 4.8 ± 1.3 MPa and 15.5 ± 1.9 MPa. The results suggest that the binder gray scale level can be used to locally predict porous properties.

Electrical dependencies of optical modulation capabilities in digitally addressed parallel aligned liquid crystal on silicon devices

Parallel aligned liquid crystal on silicon (PA-LCoS) displays have found wide acceptance in applica- tions requiring phase-only modulation. Among LCoS devices, and PA-LCoS as a specific case, digital address- ing has become a very common technology. In principle, modern digital technology provides some benefits with respect to analog addressing such as reduced interpixel cross-talk, lower power consumption and supply volt- age, gray level scale repeatability, high programmability, and noise robustness. However, there are also some degradating issues, such as flicker, which may be enhanced. We analyze the characteristics of the digital pulse width modulated voltage signals in relation to their effect on the optical modulation capabilities of LCoS displays. We apply calibration techniques developed in our laboratory, basically the classical linear polarimeter extended to take into account the existence of flicker. Various digital sequence formats are discussed, focusing the analy- sis on the variations in the magnitude of the applied voltages across the LC layer. From this analysis, we obtain how to amplify the retardance dynamic range and how to enhance linearity in the device without enhancing flicker and without diminishing the number of available quantization levels. Electrical configurations intended for phase-only and intensity modulation regimes, useful in diffractive optics, are given. © 2014 Society of Photo-

Evaluation and analysis the chalkiness of connected rice kernels based on image processing technology and support vector machine

In order to determine the location and type of rice chalkiness accurately, image processing techniques were adopted to process acquired rice kernel images. Connected rice kernels were separated from each other using a convex point matching method. Chalkiness was extracted according to the differences in grayscale levels between chalky and normal regions in the rice kernel and chalky rice kernels were classified by a support vector machine (SVM). The results showed that 2–5 connected rice kernels could be separated accurately using this method and chalky areas could be extracted. The classification accuracy for indica rice and japonica rice reached 98.5% and 97.6%, respectively, by using SVM. Hence, the measurement results are accurate and reliable, and the presented work provides a theoretical and practical basis for the further application of computer vision technology to chalkiness detection.

Minimal training is required to reliably perform quantitative ultrasound of muscle

Quantitative ultrasound can measure skeletal muscle pathology. We investigated whether inexperienced evaluators could accurately obtain and analyze ultrasound images. Two examiners underwent a 20-minute training session before obtaining ultrasound images of several limb muscles in 21 healthy boys and 19 boys with Duchenne muscular dystrophy (DMD). Gray scale levels (GSLs) of muscle and subcutaneous fat were then measured by 2 analysts: a trained research assistant and a radiologist. We compared results between examiners and analysts. Interrater reliability of muscle GSLs was high between examiners (ICC ≥ 0.85) and analysts (ICC ≥ 0.84). As anticipated, GSLs were higher in dystrophic than in healthy muscles (P < 0.001). Fat GSLs were less reliable (ICC = 0.5-0.89) than muscle and increased with age and body size. GSLs from ultrasound images of healthy and dystrophic skeletal muscle, but not from subcutaneous fat, can be obtained reliably and can be analyzed by inexperienced evaluators with minimal training.

Fabrication of three-dimensional microfluidic channels in a single layer of cellulose paper

Three-dimensional microfluidic paper-based analytical devices (3D-μPADs) represent a promising platform technology that permits complex fluid manipulation, parallel sample distribution, high throughput, and multiplexed analytical tests. Conventional fabrication techniques of 3D-μPADs always involve stacking and assembling layers of patterned paper using adhesives, which are tedious and time-consuming. This paper reports a novel technique for fabricating 3D microfluidic channels in a single layer of cellulose paper, which greatly simplifies the fabrication process of 3D-μPADs. This technique, evolved from the popular wax-printing technique for paper channel patterning, is capable of controlling the penetration depth of melted wax, printed on both sides of a paper substrate, and thus forming multilayers of patterned channels in the substrate. We control two fabrication parameters, the density of printed wax (i.e., grayscale level of printing) and the heating time, to adjust the penetration depth of wax upon heating. Through double-sided printing of patterns at different grayscale levels and proper selection of the heating time, we construct up to four layers of channels in a 315.4-μm-thick sheet of paper. As a proof-of-concept demonstration, we fabricate a 3D-μPAD with three layers of channels from a paper substrate and demonstrate multiplexed enzymatic detection of three biomarkers (glucose, lactate, and uric acid). This technique is also compatible with the conventional fabrication techniques of 3D-μPADs, and can decrease the number of paper layers required for forming a 3D-μPAD and therefore make the device quality control easier. This technique holds a great potential to further popularize the use of 3D-μPADs and enhance the mass-production quality of these devices.

Use of basis images for detection and classification of celiac disease.

Celiac disease commonly occurs in approximately 1% of populations, but it can be difficult to diagnose. The standard method to diagnose celiac disease includes analysis of endoscopy images of the small intestinal mucosa to detect presence of villous atrophy, which can be subtle. We have devised a means to improve the image-based detection of villous atrophy and other abnormality in videocapsule endoscopy by means of incorporating basis images. Basis images were extracted from a series of 200 consecutive image frames acquired over 100 seconds at the level of the duodenal bulb in 13 celiac patients and in 13 controls. They were converted from color to 256 grayscale levels (gsl; 0 = black, 255 = white). Eight basis images were used for analysis. A histogram was constructed for each basis image, and the mean and standard deviation of the histogram values were tabulated. The significance of the difference in histogram mean level for celiacs versus controls was determined. Then the histogram mean was plotted versus the standard deviation, separately for all eight basis images, and also averaged for all bases combined. The mean histogram level for celiacs was 127.59+6.05 gsl versus 129.25+5.53 gsl for controls (p< 0.05). Thus celiac basis images tended to be darker and also more variable as compared with controls. For nonlinear classification, using the average of combined basis images, the sensitivity was 84.6% while the specificity was 92.3%. Using the single most important basis image for nonlinear classification, the sensitivity was 84.6% while the specificity was 76.9%. Construction of basis images can be useful to condense videocapsule image series into salient information, for detection of differences in grayscale level mean and variation in celiac versus control image series, and for classification of celiac versus control videoclips with nonlinear discriminant functions.

Methods to quantitate videocapsule endoscopy images in celiac disease.

In this work, bioengineering methods that can be used to quantitatively analyze videocapsule endoscopy images that have been acquired from celiac patients versus controls are described. For videocapsule endoscopic analysis, each patient swallows a capsule which contains an imaging device and light source. In celiac and control patients, images are acquired and analyzed at the level of the small intestine. The data used for videocapsule analysis consisted of high resolution images of dimension 576 × 576 pixels, acquired twice per second. The goal of the quantitative analysis is to detect abnormality in celiac patient images as compared with controls. Several types of abnormality can exist at the level of the small intestine in celiac patients. In untreated patients, and often even after treatment with a gluten-free diet, there can be villous atrophy, as well as presence of fissures and a mottled appearance. To detect and discern these abnormalities, several methods of statistical and structural feature extraction and selection are described. It was found that there is a significantly greater variation in image texture and average brightness level in celiac patients as compared with controls (p < 0.05). Celiac patients have a longer dominant period as compared with controls, averaging 6.4 ± 2.6 seconds versus 4.7 ± 1.6 seconds in controls (p = 0.001). This suggests that overall motility is slower in the celiac patients. Furthermore, the mean number of villous protrusions per image was found to be 402.2 ± 15.0 in celiac patients versus 420.8 ± 24.0 in control patients (p < 0.001). The average protrusion width was 14.66 ± 1.04 pixels in celiacs versus 13.91 ± 1.47 pixels in controls (p = 0.01). The mean protrusion height was 3.10 ± 0.26 grayscale levels for celiacs versus 2.70 ± 0.43 grayscale levels for controls (p < 0.001). Thus celiac patients tended to have fewer protrusions, and these were more varied in shape, tending to be blunted, as compared with controls, which more often had fine, uniform protrusions. A variety of computerized methods are now available to quantitate videocapsule images for comparison of celiac versus control patients. Since these methods are based on computer algorithms, they can be automated and there is no variation in the results due to observer bias. These methods readily lend themselves to automation, so that it may be possible to map the entire small intestine for presence of abnormality in real-time. It is also possible to develop an automated, quantitative clinical score which can be displayed with real-time update during the procedure. This would be useful to determine progress in celiac patients on a gluten-free diet, and to better understand the properties of the healing process in these patients.

Conventional and digital radiographic assessment of tooth enamel de-/remineralization processes: an experimental study.

This study aimed to compare digital techniques for evaluating dental enamel de-/remineralization. Sixty extracted molars were subjected to a process of de- and remineralization. Radiographs were taken before and after each stage. These radiographs were evaluated by the conventional method and were then scanned and analyzed either with or without the use of image enhancement. Moreover, the gray levels (GLs) of the affected areas were measured. All methods exhibited low sensitivity and identical levels of specificity (99.4%). Analysis of the grayscale levels found statistically significant differences between the initial radiographs (P < 0.05). The mean GL of the carious group was significantly lower than that of the remineralized group. The GL did not differ significantly between the initial and final radiographs of the remineralized group, although the mean of the first group was lower than that of the second, which demonstrated that the remineralization process restored the normal density of the dental enamel. Measurement of the mean GL was sufficiently sensitive to detect small alterations in the surface of the enamel.

Automatic registration of Iphone images to LASER point clouds of the urban structures using shape features

Abstract. Fusion of 3D airborne laser (LIDAR) data and terrestrial optical imagery can be applied in 3D urban modeling and model up-dating. The most challenging aspect of the fusion procedure is registering the terrestrial optical images on the LIDAR point clouds. In this article, we propose an approach for registering these two different data from different sensor sources. As we use iPhone camera images which are taken in front of the interested urban structure by the application user and the high resolution LIDAR point clouds of the acquired by an airborne laser sensor. After finding the photo capturing position and orientation from the iPhone photograph metafile, we automatically select the area of interest in the point cloud and transform it into a range image which has only grayscale intensity levels according to the distance from the image acquisition position. We benefit from local features for registering the iPhone image to the generated range image. In this article, we have applied the registration process based on local feature extraction and graph matching. Finally, the registration result is used for facade texture mapping on the 3D building surface mesh which is generated from the LIDAR point cloud. Our experimental results indicate possible usage of the proposed algorithm framework for 3D urban map updating and enhancing purposes.

Ultrasonic densitometric analysis of atherosclerotic plaques in carotid arteries

Purpose: Aim of our study was to investigate the possibilities of ultrasonic densitometry in patients with carotid atherosclerosis. Material and methods: In 82 patients (average age 67, 03 ± 7, 3 years) was held ultrasonic densitometric analysis of atherosclerotic plaques. Patients were distributed in 2 groups depending of symptoms: group I – symptomatic patients (n = 44); group II consisted of asymptomatic patients (n = 38). Carotids ultrasound performed by duplex scanning on ultrasonic system Voluson 530 DMT (Kretztechnik, Austria) with linear transducer 5, 5 – 7, 0 MHz. After receiving the stored ultrasound images Offline was provided data analysis. For implementation of ultrasonic densitometric analysis a grey scale image uses a special option “Hystography” and following sequence, according to the protocol. Contours of area and contrast each atherosclerotic plaques subjectively optimized by operator. Results: Results of ultrasonic densitometric analysis for 1 group were as follows: average grey scale 37.9 ± 17.4; for 2-nd group 91.4 ± 5.7 (p 0.05), of energy 0.007 ± 0.001 and 0.034 ± 0.01) (p 0.05). Among parameters of first choice, the average gray level was higher in group II; among the parameters of second order, values of energy were higher in group II (p < 0, 05). Conclusion: Proposed additional analysis of obtained ultrasound imaging enables to determine of gray scale level. Ultrasonic densitometric analysis of two-dimensional ultrasound imaging can be used to determine of stability of carotid plaques.

Redundant Points Removing of SFS Reconstructed Surface

To remove the redundant points of image background in SFS reconstructed surface, a novel approach which combines the advantages of polygon scan and intersection algorithm and improves contour extraction method is proposed. In one hand, according to the gray scale level of pixels, the 3D profile of object is reconstructed by Shape from Shading method. In the other hand, firstly, the image is transformed into binary image through single-threshold segmentation method, the defects in image are remedied by morphological method, and the 2D contour of image is extracted through differential operator method; secondly, the image is divided into two parts using the polygon scan and intersection algorithm, that is the objective region and the background region; finally, the redundant points of image background in SFS reconstructed surface are removed through the fusing of 3D profile and 2D contour. Experiments shown that the proposed method can effectively remove the redundant points of SFS reconstructed surface, and it not only ensure the shape precision of SFS reconstructed surface, but also improve the universal of Shape from Shading technique.

Use of shape-from-shading to estimate three-dimensional architecture in the small intestinal lumen of celiac and control patients

BackgroundAs measured from videocapsule endoscopy images, the small intestinal mucosa of untreated celiac patients has significantly greater and more varied texture compared to normal patients. Three-dimensional modeling using shape-from-shading principles may further increase classification accuracy. MethodsA sequence of 200 consecutive videocapsule images acquired at a 2s–1 frame rate and 576×576 pixel dimension, were obtained at four locations in the small intestinal lumen of ten patients with biopsy-proven celiac disease and ten control patients. Each two-dimensional image was converted to a three-dimensional architectural approximation by considering the 256 grayscale level to be linearly representative of image depth. From the resulting three-dimensional architecture, distinct luminal protrusions, representative of the macro-architecture, were automatically identified by computer algorithm. The range and number of protrusions per image, and their width and height, were determined for celiacs versus controls and tabulated as mean±SD. ResultsThe mean number of villous protrusions per image was 402.2±15.0 in celiacs versus 420.8±24.0 in controls (p<0.001). The average protrusion width was 14.7 pixels in celiacs versus 13.9 pixels in controls (p=0.01). The mean protrusion height was 3.10±2.34 grayscale levels for celiacs versus 2.70±0.43 grayscale levels for controls (p<0.001). Thus celiac patients had significantly fewer protrusions on the luminal surface of the small intestine as compared with controls, and these protrusions had greater dimensions, suggesting they are indicative of a mosaic (cobblestone) macro-architectural pattern which is common in celiacs. ConclusionsShape-from-shading modeling is useful to explore luminal macro-architecture and to detect significant differences in luminal morphology in celiac versus normal patients, which can increase the usefulness of videocapsule studies.

Laser Printing of Nanoparticle Toner Enables Digital Control of Micropatterned Carbon Nanotube Growth

Commercialization of materials utilizing patterned carbon nanotube (CNT) forests, such as hierarchical composite structures, dry adhesives, and contact probe arrays, will require catalyst patterning techniques that do not rely on cleanroom photolithography. We demonstrate the large scale patterning of CNT growth catalyst via adaptation of a laser-based electrostatic printing process that uses magnetic ink character recognition (MICR) toner. The MICR toner contains iron oxide nanoparticles that serve as the catalyst for CNT growth, which are printed onto a flexible polymer (polyimide) and then transferred to a rigid substrate (silicon or alumina) under heat and mechanical pressure. Then, the substrate is processed for CNT growth under an atmospheric pressure chemical vapor deposition (CVD) recipe. This process enables digital control of patterned CNT growth via the laser intensity, which controls the CNT density; and via the grayscale level, which controls the pixelation of the image into arrays of micropillars. Moreover, virtually any pattern can be designed using standard software (e.g., MS Word, AutoCAD, etc.) and printed on demand. Using a standard office printer, we realize isolated CNT microstructures as small as 140 μm and isolated catalyst ″pixels″ as small as 70 μm (one grayscale dot) and determine that individual toner microparticles result in features of approximately 5-10 μm . We demonstrate that grayscale CNT patterns can function as dry adhesives and that large-area catalyst patterns can be printed directly onto metal foils or transferred to ceramic plates. Laser printing therefore shows promise to enable high-speed micropatterning of nanoparticle-containing thin films under ambient conditions, possibly for a wide variety of nanostructures by engineering of toners containing nanoparticles of desired composition, size, and shape.

A CO&lt;sub&gt;2&lt;/sub&gt; Laser Camera

This paper develops a CO2laser camera by using an ARM embedded system with a CCD camera. The power controller, embedded on an FPGA chip, controls laser cutting depth by modifying the DPWM power controller for a CO2laser machine. The relationship model between feed rate, laser power and cutting depth was trained by the adaptive neural fuzzy inference system (ANFIS). Laser power output was determined by the grayscale level in the image from CCD camera to reproduce a bitmap image in a 2.5D engraving. The maximum laser cutting depth was 4mm, and the feed rate varied between 10mm/s and 80 mm/s. Laser power was less than 48W. The precision for the cutting depth in the model was less than 0.036mm. The precision for the actual cutting depth of the laser was within 0.044mm. Implementation of the model improved the precision of the laser cutting machine to within the range ±0.05mm.

The value of time-intensity curves obtained after microbubble contrast agent injection to discriminate responders from non-responders to anti-inflammatory medication among patients with Crohn’s disease

To assess the value of time-intensity curves obtained after sulphur hefluoride-filled microbubble contrast agent injection to discriminate responders from non-responders among patients with Crohn's disease (CD). Forty-three patients (29 male and 14 female; mean age ± SD, 48.5 ± 17.17 years) with initial diagnosis of active CD were recruited. In each patient, the therapeutic outcome was assessed after 12 weeks from the beginning of pharmacologic treatment. The terminal ileal loop was scanned after sulphur hexafluoride-filled microbubble injection, and the digital cine-clip registered during the first-pass dynamic enhancement was quantified in gray-scale levels. The percentage of maximal enhancement, time to peak enhancement, and area under the time-intensity curve in responders vs. non-responders were compared by Mann-Whitney U non-parametric test. Responders (n = 25 patients) vs. non-responders (n = 18) differed in the area under the time-intensity curve (621.58 ± 374.53 vs. 1,199.64 ± 386.39 P < 0.05), while they did not differ in percentage of maximal enhancement (41.26 ± 15.22 vs. 43.17 ± 4.41, P = 0.25) and time to peak enhancement (11.31 ± 3.06 vs. 10.12 ± 3.47, P = 0.15). The area under the time-intensity curve obtained after microbubble injection was the only parameter to discriminate responders from non-responders among patients with CD during pharmacologic treatment. • Dynamic ultrasound using microbubble contrast agents can help assess inflammatory bowel disease • Time-intensity curves can assess therapeutic outcome in Crohn's disease (CD) • The area under the time-intensity curve differentiates responders from non-responders during pharmacological treatment.