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12 Publications visible to you, out of a total of 12
Unrealistic expectations for IR microspectroscopic imaging.
ProstataCA

Abstract

Not specified

Authors: J. Einenkel, W. Steller, U. D. Braumann, L. C. Horn, C. Krafft

Date Published: 11th Jan 2007

Publication Type: Not specified

Human Diseases: cervical cancer

Combined three-dimensional microscopic visualisation of tumour-invasion front of cervical carcinoma.
ProstataCA

Abstract

Not specified

Authors: J. Einenkel, J. P. Kuska, L. C. Horn, N. Wentzensen, M. Hockel, U. D. Braumann

Date Published: 5th Aug 2006

Publication Type: Not specified

Human Diseases: cervical cancer

Delimitation of squamous cell cervical carcinoma using infrared microspectroscopic imaging.
ProstataCA

Abstract (Expand)

Infrared (IR) spectroscopic imaging coupled with microscopy has been used to investigate thin sections of cervix uteri encompassing normal tissue, precancerous structures, and squamous cell carcinoma. … Methods for unsupervised distinction of tissue types based on IR spectroscopy were developed. One-hundred and twenty-two images of cervical tissue were recorded by an FTIR spectrometer with a 64x64 focal plane array detector. The 499,712 IR spectra obtained were grouped by an approach which used fuzzy C-means clustering followed by hierarchical cluster analysis. The resulting false color maps were correlated with the morphological characteristics of an adjacent section of hematoxylin and eosin-stained tissue. In the first step, cervical stroma, epithelium, inflammation, blood vessels, and mucus could be distinguished in IR images by analysis of the spectral fingerprint region (950-1480 cm(-1)). In the second step, analysis in the spectral window 1420-1480 cm(-1) enables, for the first time, IR spectroscopic distinction between the basal layer, dysplastic lesions and squamous cell carcinoma within a particular sample. The joint application of IR microspectroscopic imaging and multivariate spectral processing combines diffraction-limited lateral optical resolution on the single cell level with highly specific and sensitive spectral classification on the molecular level. Compared with previous reports our approach constitutes a significant progress in the development of optical molecular spectroscopic techniques toward an additional diagnostic tool for the early histopathological characterization of cervical cancer.

Authors: W. Steller, J. Einenkel, L. C. Horn, U. D. Braumann, H. Binder, R. Salzer, C. Krafft

Date Published: 6th Dec 2005

Publication Type: Not specified

Human Diseases: cervical cancer

[Topographical anatomy of the female pelvis in ultrasound].
ProstataCA

Abstract (Expand)

AIM: Achieving a high quality gynaecological ultrasound examination requires thorough knowledge of topographic anatomy. To date, there are no guidelines for a standardised course of the examination. … The goal of the study was to define exact planes by means of cross-sectional anatomy and then to standardise the gynaecological ultrasound examination with the transabdominal, introital and transvaginal technique. METHOD: We developed a software tool based on IDL (Interactive Data Language) for the female data set of the Visible Human Project which generates free determinable planes in the volume. The organs of the female pelvis were divided into landmark- and target structures according to the ultrasonic visibility and the variability of the position, shape and structure. From this, a course for the gynaecological ultrasound examination was created and verified on 65 patients each with an inconspicuous ultrasound finding. In addition, the average duration of the examination was determined. RESULTS: The landmark structures could be demonstrated in all patients. Five planes were defined for each technique, and the course of the whole examination with 15 exact planes was described. The average duration of the examination was 4.5 minutes. CONCLUSION: As of now, the digitally reconstructed anatomical illustrations have achieved the best image resolution and quality regardless of the position of the plane in the examination volume. The standardised course of the gynaecological ultrasound examination can serve as a basis for the improvement of training quality and the evaluation of a general gynaecological ultrasound screening.

Authors: J. Einenkel, U. D. Braumann, D. Baier, J. P. Kuska, L. C. Horn, M. Hockel

Date Published: 22nd Oct 2005

Publication Type: Not specified

Human Diseases: cervical cancer

Three-dimensional reconstruction and quantification of cervical carcinoma invasion fronts from histological serial sections.
ProstataCA

Abstract (Expand)

The analysis of the three-dimensional (3-D) structure of tumoral invasion fronts of carcinoma of the uterine cervix is the prerequisite for understanding their architectural-functional relationship. … The variation range of the invasion patterns known so far reaches from a smooth tumor-host boundary surface to more diffusely spreading patterns, which all are supposed to have a different prognostic relevance. As a very decisive limitation of previous studies, all morphological assessments just could be done verbally referring to single histological sections. Therefore, the intention of this paper is to get an objective quantification of tumor invasion based on 3-D reconstructed tumoral tissue data. The image processing chain introduced here is capable to reconstruct selected parts of tumor invasion fronts from histological serial sections of remarkable extent (90-500 slices). While potentially gaining good accuracy and reasonably high resolution, microtome cutting of large serial sections especially may induce severe artifacts like distortions, folds, fissures or gaps. Starting from stacks of digitized transmitted light color images, an overall of three registration steps are the main parts of the presented algorithm. By this, we achieved the most detailed 3-D reconstruction of the invasion of solid tumors so far. Once reconstructed, the invasion front of the segmented tumor is quantified using discrete compactness.

Authors: U. D. Braumann, J. P. Kuska, J. Einenkel, L. C. Horn, M. Loffler, M. Hockel

Date Published: 19th Oct 2005

Publication Type: Not specified

Human Diseases: cervical cancer

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