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Multivariate image analysis of magnetic resonance images with the direct exponential curve resolution algorithm (DECRA). Part 2: Application to human brain images.

Owing to the heterogeneity of living tissues, it is challenging to quantify tissue properties using magnetic resonance imaging. Within a single voxel, contributions to the signal may result from several types of 1H nuclei with varied chemical (e.g., -CH2-, -OH) and physical environments (e.g., tissue density, compartmentalization). Therefore, mixtures of 1H environments are prevalent. Furthermore, each unique type of 1H environment may possess a unique and characteristic spin-lattice relaxation time (T1) and spin-spin relaxation time (T2). A method for resolving these unique exponentials is introduced in a separate paper (Part 1. Algorithm and Model System) and uses the direct exponential curve resolution algorithm (DECRA). We present results from an analysis of images of the human head comprising brain tissues.

Adult↗

Grading, image analysis, and stereopsis of digitally compressed fundus images.

PURPOSE: To investigate the effects of image digitization and compression on the ability to identify and quantify features in color fundus photographs. METHODS: Color fundus photographs were digitized as tagged image file format (TIFF) and high-compression (80:1) and low-compression (30:1) joint photographic experts group (JPEG) images. Rerendered images were subjected to standard grading protocols developed for a clinical trial, and digitized images were subjected to image analysis software for drusen identification and quantitation. Re-created stereoscopic images were compared subjectively with originals. RESULTS: Original, TIFF, and low-compression (30:1) JPEG images were virtually indistinguishable when subjected to close scrutiny with magnification. The overall quality of high-compression (80:1) JPEG images and images digitized at 500 dots per inch was markedly reduced. Protocol grading of original and digitized images was highly concordant within the repeatability of multiple grading of original images. The area subtended by drusen differed by less than 1.0% for all uncompressed and compressed image pairs quantified. Stereoscopic information was accurately preserved when compared with originals for TIFF and low-compression JPEG images. CONCLUSIONS: Fundus images can be digitized and stored with significant compression while preserving stereopsis and image quality suitable for quantitative image analysis and semiquantitative grading. Low-compression (30:1) JPEG images may be suitable for archiving and telemedical applications.

Depth Perception↗

A rapid method for semi-quantitative analysis of neurite outgrowth from chick DRG explants using image analysis.

Neurite outgrowth from dorsal root ganglion (DRG) explants is a method of evaluating neurotrophic activity of growth factors and neurotrophin mimetics. The drawbacks to this approach are the difficulties in quantifying the response. Neurite counts are time consuming and labour intensive, and the accuracy is often questionable due to branching and fasciculation of the neurites. We report here a method of semi-quantitative analysis of neurite outgrowth from chick DRG explants, using image analysis to quantify the area occupied by neurites emanating from the ganglion. This method is rapid, takes into account both the length and number of neurites, and is unaffected by neurite fasciculation or branching. Primary explants of chick DRGs were treated with the neurotrophins nerve growth factor (NGF) or neurotrophin-3 (NT-3) and with the compound K252a. K252b was tested for potentiation of the response to NT-3. The results show a dose dependent outgrowth of neurites from explants treated with NGF, NT-3 and K252a, and potentiation of the NT-3 response by K252b. These responses were quantified by neurite area quantification using image analysis. We conclude that neurite area measurement using image analysis provides a robust means of evaluating neurotrophic activity of growth factors and neurotrophin mimetics in vitro.

Animals↗

Point counting on the Macintosh. A semiautomated image analysis technique.

In image analysis, point counting is used to estimate three-dimensional quantitative parameters from sets of measurements made on two-dimensional images. Point counting is normally conducted either by hand only or manually through a planimeter. We developed a semiautomated, Macintosh-based method of point counting. This technique could be useful for any point counting application in which the image can be digitized. We utilized this technique to demonstrate increased vacuolation in white matter tracts of rat brains, but it could be used on many other types of tissue. Volume fractions of vacuoles within the corpus callosum of rat brains were determined by analyzing images of histologic sections. A stereologic grid was constructed using the Claris MacDraw II software. The grid was modified for optimum line density and size in Adobe Photoshop, electronically superimposed onto the images and sampled using version 1.37 of NIH Image public domain software. This technique was further automated by the creation of a macro (small program) to create the grid, overlay the grid on a predetermined image, threshold the objects of interest and count thresholded objects at intersections of the grid lines. This method is expected to significantly reduce the amount of time required to conduct point counting and to improve the consistency of counts.

Animals↗

Extending the dynamic range of fibre length and fibre aspect ratios by automated image analysis

An automatic image analysis system has been developed, that is capable of scanning a large sample area (70 mm x 70 mm) using transmitted light microscopy. The analysis, based on transparent algorithms, successfully discriminates between overlapping and touching fibres, so that sample preparation time is minimized. The system utilizes overlapping image frames to reconstruct partial fibre images and impart unique fibre length information in the range micrometres to millimetres. The software has been made adaptable to enable the accurate measurement of fibre lengths for fibres that curve over many millimetres. Data are presented illustrating the accurate measurement of fibre lengths over a large range of fibre aspect ratios.

Journal Article↗

Computer-generated diagnosis and image analysis. An overview.

Image analysis provides quantitative data on morphology, cytochemical and histochemical reactions, the location of specific events or reaction sites, and statistical descriptions of the spatial distribution of such events relative to histologic structure. Image analytic methodology in correlation with histopathologic knowledge bases is an essential component in the development of an objective basis for histopathologic diagnostic decision making.

Humans↗

DNA analysis of cardiac myxomas: flow cytometry and image analysis.

Cardiac myxoma is the most common primary tumor of heart, but there is a longstanding controversy over whether it is a true neoplasm or a reactive lesion. We analyzed 24 cardiac myxomas from 22 patients: 22 by DNA flow cytometry and five by image analysis. Two myxomas were aneuploid; one of those analyzed by flow cytometry, and the other by image analysis. Proliferative fractions (S + G2/M) were high in three tumors from patients with multiple myxomas (mean, 15.9%; SD, 4.0%) as compared with 12 solitary uncomplicated myxomas (mean, 7.7%; SD, 6.0%). S-phase and proliferative fractions were low in embolic, recurrent, and solitary myxomas. The presence of aneuploidy in some myxomas supports a neoplastic origin for this tumor.

Adult↗

Measurement of osteoclasts and bone resorption by automated image analysis.

An automated image analysis method is described for measurement of osteoclasts and resorbing surface in calcified bone. Osteoclasts, osteoid, and mineralized bone were measured in a single section, reacted for acid phosphatase activity, and then stained with orange G and light green stain. Three images were acquired of each field with a monochromatic camera at illuminating wavelengths of 635, 540, and 480 nm (selected using a stage monochromator). These wavelengths were chosen according to the absorption spectra of the different image components to maximize absorption differences between osteoclasts (red), mineralized bone (blue/green), and osteoid (orange). These components were then discriminated according to operator-defined ranges of color density (mineralized bone) or color fraction (osteoid and osteoclasts). A gray level coded segmented image was produced, from which was determined the area, perimeter, and number of each component and the length of contact zones with the marrow and between these components. The method was evaluated by twice measuring 10 bone sections from patients with end-stage liver failure awaiting liver transplantation. The method was quite reproducible, with coefficients of variation varying between 4% for bone volume (% tissue volume) and 22% for osteoid surface (% bone surface). The sections were also measured using a previously established semiautomated method. Coefficients of variation between methods were higher varying between 4% for bone volume (% tissue volume) and 56% for osteoid volume (% bone volume). The automated method gave a substantial time saving compared to the semiautomated method. An interactive technique was used in adjacent sections to evaluate tetracycline labeling and osteoblast surfaces.

Adolescent↗

Differentiation of human T and B peripheral blood lymphocytes by high-resolution cell image analysis.

Automated cell image analysis of light and electron microscopic pictures was used for differentiation of nonlabeled lymphocytes in blood smears and in smears of purified lymphocyte suspensions. The percentages of T and B lymphocytes were determined by a two-step rosette assay with sheep red blood cells (T cells) and an immunofluorescence assay with FITC-labeled antihuman globulin (B cells). Images from 1,400 Feulgen-stained and 12,000 Pappenheim-stained cells were analyzed. Various classification methods allowed two lymphocyte subpopulations to be discriminated at the light and electron microscopic levels on the basis of different visual and subvisual morphologic features. As found by immunologic methods, morphologically determined subpopulations corresponded to T and non-T cells, with no further differentiation of non-T cells into B or null cells possible. The results allow the conclusion that there are morphologic differences between human T and non-T cells, with the differences distinguishable from individual variations as well as from alterations induced by sample preparation.

B-Lymphocytes↗

Measurement of cytokine and adhesion molecule expression in synovial tissue by digital image analysis.

OBJECTIVE: Digital image analysis (DIA) offers the opportunity to quantify the stained area and staining intensity when synovial tissue (ST) is investigated by immunohistochemical analysis. This study aimed at determining the sensitivity of DIA compared with semiquantitative analysis (SQA). METHODS: Paired ST samples were obtained from the knee joint of 10 patients with rheumatoid arthritis (RA) with active disease and after follow up when complete clinical remission was achieved. ST samples of 10 subjects with non-inflammatory knee pain served as controls. Immunohistochemistry with antibodies against interleukin 1beta (IL1beta) and vascular cell adhesion molecule 1 (VCAM-1) was applied using two staining protocols with 3-amino-9-ethylcarbazole (AEC) or p-diethylaminobenzaldehyde (DAB) as dye. All sections were analysed semiquantitatively (0-4) and DIA of up to a maximum of 60 high power fields (HPF). The average integrated optical density was calculated as the product of the stained area (corrected for total tissue area) and the optical density. RESULTS: Both SQA and DIA enabled the assessment of differences in IL1beta and VCAM-1 expression between ST from active RA, RA in remission, and controls. SQA and DIA showed excellent correlations (IL1beta rs=0.867; p<0.0001: VCAM-1 rs=0.828; p<0.0001). A limited analysis of one region with six HPF still allowed adequate discrimination compared with an extended analysis of three regions with a total of 60 HPF. In general, the red dye (AEC) resulted in better discrimination than the brown (DAB) staining. CONCLUSION: DIA offers a reliable, reproducible, and sensitive analysis of ST sections stained for cytokines and adhesion molecules.

Adult↗

Histochemical labeling of drug receptors in schistosomes: quantitation using computer image analysis techniques.

Computer image analysis techniques were used to quantitate the histochemical labeling of schistosomes with dimethylaminonaphthalene-5-sulfonaminoethyl methylamine hydrochloride (DDNS), a fluorescent analog of acetylcholine (ACh). Dose-response curves, consistent with previous experiments, were obtained for DDNS, and for blockage of DDNS labeling, by trifluoperazine and mecamylamine.

Animals↗

Physiological investigations by image analysis.

Modern quantitative image analysis has been extensively used to characterize the morphology of microorganisms, especially those of the filamentous type. More recently physiological features have been quantified, making use of classical stains as well as fluorescent dyes. The potential of the technique is illustrated by a detailed analysis of the differentiation of Streptomyces ambofaciens. Three different staining procedures have been used to monitor the thinning and septation of hyphae (with propidium iodide staining), the leakage of cellular components through the membrane (with carbol gentian violet staining) and the respiration (with INT staining) in a batch submerged culture.

Gentian Violet↗

Comparative morphometric studies of benign and malignant intraductal proliferative lesions of the breast by computerized image analysis.

Using computerized image analysis, we newly devised a method for automatic quantitative evaluation of nuclear arrangements in variable proliferative intraductal (cribriform) lesions of the breast, by calculating angles of longest nuclear diameter to a horizon (LNDA). Internuclear correlation in the cribriform lesions was thus examined, comparing 22 benign and 62 malignant cases. In the malignant lesions, nuclear arrangements tended to be multidirectional, probably because of vertical nuclear arrangements toward acinar lumens as reflected by the wide distribution of LNDAs. Conversely, in the benign lesions, groups of nuclei tended to arrange toward one certain direction, forming a complex streaming pattern with the distribution of LNDAs usually producing a distinctive peak. Other conventional nuclear features, such as nuclear area, nuclear perimeter, shortest nuclear diameter (SND), and leading variables were also quantitatively assessed for multivariate analysis. It was noted that nuclear arrangements could represent a favorable discriminator. Linear discriminant function could classify 66 of the total 84 cases (78.6%) as being consistent with the diagnosis of pathologists. We conclude that internuclear arrangement could be a useful discriminating variable in benign and malignant breast lesions for the further development of an automatic analytic system.

Adenocarcinoma↗

Erosion by soft drinks of rat molar teeth assessed by digital image analysis.

A digital imaging analysis (DIA) procedure for recording and assessing erosive changes on teeth was developed and evaluated against an older subjective method. Results after exposure of rats' teeth to various soft drinks showed that the DIA system was superior to the conventional method, with improved precision. The system provided a direct and highly sensitive means of quantifying the erosion of dental hard tissues by three different soft drinks, showing that it could be used to evaluate erosiveness and other dental damage. After 6 weeks' exposure to soft drinks in the diet, the area of intact enamel on the lingual surface of the first mandibular molar averaged 47% on apple juice, 27% on still orange and 6% on carbonated orange. The greatest exposure of dentine (36%) was on the still orange drink. Eroded enamel accounted for 72.5% of the tooth surface on the carbonated drink.

Animals↗

Quantitation of fibroblast population growth rate in situ using computerized image analysis.

The development of computer-assisted image analysis has provided the technology to rapidly determine the population size of cultured cell monolayers in situ. We have adapted this technology to determine the population growth rate of cultured fibroblasts for use in a high-replicate format. Human lung fibroblasts were seeded into 1/2 A 96-well plates that had one-half the culture area of standard 96-well plates. The cells were cultured in medium supplemented with different concentrations of FBS and on days 0, 1, 2, 3, 5, and 7, and their nuclei were stained with propidium iodide. A microscopic field representing one-quarter of a well of fluorescent nuclear images was captured onto a Macintosh computer, and the number of nuclei were counted using an image analysis software program. There were no significant differences between the number of nuclei counted manually and the number counted using computer-assisted software, until day 7 where the cells were multilayered (P < 0.05). This image analysis method was compared to other assays typically used to estimate cell proliferation or population size, namely hemocytometer counting, a rapid colorimetric staining assay using naphthol blue-black, and [3H]-thymidine incorporation. The growth rates derived using image analysis were in close agreement with results derived from hemocytometer counts and [3H]-thymidine incorporation. However, the growth rates of cells grown in high concentrations of FBS as determined using naphthol blue-black were substantially lower than results from image analysis. We conclude that this adaptation of computer-assisted image analysis provides a method to derive accurate growth curves by directly counting the number of cells in a large number of replicates.

Cell Count↗

Nuclear characterization and G2M ploidy in human brain tumors using semiautomated image analysis.

We used image analysis to study nuclear morphometry and DNA content in relation to time to tumor progression in a series of 88 patients with brain tumors. Clinical follow-up was obtained for 73 patients. The patients with diploid tumors had a longer time to tumor progression than those with triploid, tetraploid, or hypertetraploid tumors. Mean SG2M-DNA indices (DIs) increased significantly with a increase in mean DIs in all tumors. The mean DIs appeared to be dependent on the number of SG2M phase cells. We conclude that tumors with hypertetraploid in G2M ploidy are highly malignant. Those tumor cells have a large nuclear size, much deformity in nuclear shape, and great proliferative potential. The G2M-tetraploid tumors showed a shorter time to tumor progression when the number of SG2M fractions was large. In contrast, the G2M-hypotetraploid tumors showed a longer time to tumor progression in comparison with other tetraploid and hypertetraploid tumors, but the difference was not significant.

Aneuploidy↗

Quantification of tumour-induced angiogenesis by image analysis.

Quantitative techniques for in vivo and in vitro angiogenesis were developed using an image analyser. In the in vivo study, a Millipore chamber filled with mouse sarcoma 180 (S180) cells was transplanted subcutaneously to the dorsal side of a mouse, and the area of neovascularization induced by the tumour cells was quantified by image analysis. Images of vascular networks with poor contrast had their contrast improved by Laplacean transformation. The area of vascular network was 16.9 mm2 in the control group without tumour cells and 44.2 mm2 in the group with tumour cells, demonstrating a significant increase in neovascularized area by tumour cells. In the in vitro study, migration of vascular endothelial cells was induced with conditioned media of S180 cells. Image analysis was used to count automatically the nuclei of migrated endothelial cells, which were stained violet with Giemsa's solution. This automated measurement by image analyser is expected to save labour and time. Checkerboard analysis revealed that the endothelial cell migration induced by S180-conditioned medium was due to chemotaxis. The quantitation method using an automated image analyser is valuable in evaluating the induction of neovascularization by tumours and the effect of pharmacological agents on tumour angiogenesis in vivo and in vitro.

Animals↗

Early effects of chemical carcinogens as compared to induced cell proliferation. II. Automated image analysis.

Static automated image analysis was applied to study early variations of chromatin structure in Feulgen-stained liver nuclei from rats injected i.p. with a single dose of dimethylnitrosamine (DMNA), a well known hepatocarcinogen. An increase of nuclear area and a correspondent decrease of average optical density (integrated optical density/area) was observed, as compared with controls, in nuclei from rats treated with 5.4 mg/kg of DMNA. These findings, which were comparable with those induced by partial hepatectomy, indicate the existence in DMNA-treated cells of a chromatin DNA relaxation similar to the G0-G1 transition previously described for human diploid fibroblasts stimulated to proliferate. Because similar results were independently obtained by flow microfluorimetry, it seems reasonable to hypothesize that chromatin decondensation could be a prerequisite for cancer induction.

Animals↗