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Endoscopic OCT for imaging of uterine body and cervix pathologies. First results of endoscopic applications of optical coherence tomography OCT in gynecology are presented. We have studied mucosa of uterus, uterine cervix and vagina in vivo. Images of healthy endometrium in different stages of menstrual cycle have been recorded.

For uterine cervix not only OCT data of normal state but some kids of pathology have been analyzed. Capability of OCT to identify alterations of mucosa makes this method promising for Inflatable clit cervix uterus diagnosis of tumors and precise guiding of excisional biopsy.

Shape priors for segmentation of the cervix region within uterine cervix images. NCI together with the Inflatable clit cervix uterus Library of Medicine is developing a unique web-based database of the digitized cervix images to study the evolution of lesions related to cervical cancer.

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Tools are needed for the automated analysis of the cervigram content to support the cancer research. In recent works, a multi-stage automated system for segmenting and labeling regions of medical and anatomical interest within the cervigrams was developed.

The current paper concentrates on incorporating prior-shape information in the cervix region segmentation task. In accordance with the fact that human experts mark the cervix region as circular or elliptical, two shape models and corresponding methods are suggested. The shape models are embedded within an active contour framework that relies on image features. Experiments indicate that incorporation of the prior shape information augments previous results.

Polarimetric imaging of uterine cervix: We present a preliminary investigation Inflatable clit cervix uterus macroscopic polarimetric imaging of uterine cervix. Orthogonal state contrast OSC images of healthy and anomalous cervices have been taken in vivo at nm.

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Four ex vivo cervix samples have been studied in full Muller polarimetry, at nm and nm, and characterized in detail by standard pathology.

One sample was totally healthy, another one carried CIN lesions at very early stage CIN1 in its visible exocervical region, while for the other two samples more advanced CIN3 lesions were Inflatable clit cervix uterus, together with visible glandular epithelium ectropion.

Significant birefringence has been observed in the healthy regions of all six samples, both in vivo and ex vivo.

Standard treatments of the Mueller images of the ex vivo samples allowed to quantify both retardation and depolarization. The depolarization power was largest in healthy regions, and lower in CINs and ectropion. Possible origins of the observed effects are briefly discussed.

Comparative performance analysis of cervix ROI extraction and specular reflection removal algorithms for uterine cervix image analysis.

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Cervicography is a technique for visual screening of uterine cervix images for cervical cancer. One of our research goals is the automated detection in these images of acetowhite AW lesions, which are sometimes correlated with cervical cancer. Image preprocessing is required prior to invoking AW detection algorithms on cervicographic images for two reasons: These image regions may contain medical instruments, film markup, or other non- cervix anatomy or regions, such as vaginal walls.

We have qualitatively and quantitatively evaluated the performance of alternative preprocessing algorithms on a test set of images. For cervix ROI detection, all approaches use a common feature set, but with varying combinations of feature weights, normalization, and clustering methods.

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Empirical results are analyzed to derive conclusions on the performance of each approach. Automatic detection of multi-level acetowhite regions in RGB color images of the uterine cervix. Uterine cervical cancer is the second most common cancer among women worldwide. Colposcopy is a diagnostic method used to detect cancer Inflatable clit cervix uterus and cancer of the uterine cervixwhereby a physician colposcopist visually inspects the metaplastic epithelium on the cervix for certain distinctly abnormal morphologic features.

The colposcopist considers diagnostic features such as the acetowhite, blood vessel structure, and lesion margin to derive a clinical diagnosis. The acetowhite feature has been identified as one of the most important individual predictors Inflatable clit cervix uterus lesion severity.

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Here, we present the details and preliminary results of a multi-level acetowhite region detection algorithm for RGB color images of the cervixincluding the detection of the anatomic features: The RGB images are assumed to be glare free, either obtained by cross-polarized image acquisition or glare removal pre-processing.

The basic approach of the algorithm is to extract a feature image from the RGB image that provides a good acetowhite Inflatable clit cervix uterus cervix background ratio, to segment the feature image using novel pixel grouping and multi-stage region-growing algorithms that provide region segmentations with different levels of detail, to extract the acetowhite Inflatable clit cervix uterus from the region segmentations using a novel region selection algorithm, and then finally to extract the multi-levels from the acetowhite regions using multiple thresholds.

The performance of the algorithm is demonstrated using human subject data. MR imaging features and staging of neuroendocrine carcinomas of the uterine cervix with pathological correlations.

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To determine MR imaging features and staging accuracy of neuroendocrine carcinomas NECs of the uterine cervix with pathological correlations. Twenty-six patients with histologically proven NECs, 60 patients with squamous cell carcinomas SCCsand 30 patients with adenocarcinomas of the uterine cervix were included.

The clinical data, pathological findings, and MRI findings were reviewed retrospectively. Three-dimensional ultrasound and magnetic resonance imaging assessment of cervix and vagina in women with uterine malformations. To investigate the accuracy of three-dimensional ultrasound 3D-US with respect to magnetic resonance imaging MRIand compared to clinical examination, in the Inflatable clit cervix uterus of cervix and vagina in women with uterine malformations.

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In this prospective study, 16 patients diagnosed with uterine malformation with cervical involvement underwent 3D-US examination. The acquisition of cervical volumes was transvaginal, with four cases repeated in the peri-ovulation period, while vaginal volumes were acquired by transperineal imaging following filling of the vagina with gel.

MRI was performed in 13 patients using endovaginal gel. All cases underwent clinical examination, comprising bimanual gynecological examination and speculoscopy. Diagnostic concordance of each of the methods with the gold standard was calculated. Images of the cervical canal in the peri-ovulation period were judged subjectively to be better in quality, but did not lead us to change any diagnosis. None of the 3D-US findings contradicted the clinical findings of the cervix ; however, clinically we observed two cases with vaginal dividing wall that had not been diagnosed with 3D-US.

MRI diagnosed nine cases of duplicate cervixthree of complete septate cervixone of incomplete septate cervixfive of vaginal dividing wall and two of blind hemivagina. One case diagnosed as complete septate cervix was in fact a duplicate cervix on 3D-US and on clinical examination.

Compared with the gold standard, both 3D-US and MRI were highly efficient in the diagnosis of anomalies of the cervix and vagina. The overall diagnostic concordance of 3D-US with clinical examination kappa, 0.

Ex vivo Mueller polarimetric imaging of the uterine cervix: Early detection through screening plays a major role in reducing the impact of cervical cancer on patients. When detected before the Inflatable clit cervix uterus stage, precancerous lesions Inflatable clit cervix uterus be eliminated with very limited surgery. Polarimetric imaging is a potential alternative to the standard screening methods currently used.

In a previous proof-of-concept study, significant contrasts have been found in polarimetric images acquired for healthy and precancerous regions of excised cervical tissue. To quantify the ability of the technique to differentiate between healthy and precancerous tissue, polarimetric images of seventeen cervical conization specimens cone-shaped or cylindrical wedges from the uterine cervix are compared with results from histopathological diagnoses, which is considered to be the "gold standard.

To do so, a sliding threshold for the scalar retardance parameter was used for the sample zones, as labeled after histological diagnosis. This study paves the way for an application of polarimetry in the clinic.

A probabilistic approach to segmentation and classification of neoplasia in uterine cervix images using color and geometric features. Automated segmentation and classification of diagnostic markers in medical imagery are challenging tasks.

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Numerous algorithms for segmentation Inflatable clit cervix uterus classification based on statistical approaches of varying complexity are found in the literature. However, the design of an efficient and automated algorithm for precise classification of desired diagnostic markers is extremely image -specific. NLM is developing tools for the analysis and dissemination of these images over the Web for the study of visual features correlated with precancerous neoplasia and cancer.

To enable indexing of images of the cervixit is essential to develop algorithms for the segmentation of regions of interest, such as acetowhitened regions, and automatic identification and classification of regions exhibiting mosaicism and punctation.


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