| 1. |
- Lindblad, Joakim, 1973-, et al.
(författare)
-
Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation
- 2009
-
Ingår i: Image Analysis. - Berlin : Springer Verlag. - 9783642022296 ; 5575, s. 750-759
-
Konferensbidrag (refereegranskat)abstract
- We present a novel fuzzy theory based method for the segmentation of images required in histomorphometrical investigations of bone implant integration. The suggested method combines discriminant analysis classification controlled by an introduced uncertainty measure, and fuzzy connectedness segmentation method, so that the former is used for automatic seeding of the later. A thorough evaluation of the proposed segmentation method is performed. Comparison with previously published automatically obtained measurements, as well as with manually obtained ones, is presented. The proposed method improves the segmentation and, consequently, the accuracy of the automatic measurements, while keeping advantages with respect to the manual ones, by being fast, repeatable, and objective.
|
|
| 2. |
- Runow Stark, Christina, et al.
(författare)
-
Brush Biopsy For HR-HPV Detection With FTA Card And AI For Cytology Analysis - A Viable Non-invasive Alternative
- 2018
-
Ingår i: EAOM2018.
-
Konferensbidrag (refereegranskat)abstract
- Introduction: Oral cancer accounts for about 800-1,000 new cases each year in Sweden and the ratio of cancer related to high-risk human papillomavirus (HR-HPV) is increasing in the younger population due to changes in sexual habits. The most two frequent HR-HPV types 16 and 18 have both significant oncogenic potential.Objectives: In this pilot study we evaluate two non-invasive automated methods; 1) detection of HR-HPV using FTA cards, and 2) image scanning of cytology for detection of premalignant lesions as well as eradicate the early stage of neoplasia.Material and Methods: 160 patients with verified HR-HPV oropharyngeal cancer, previous ano-genital HR-HPV-infection or potentially malignant oral disorder were recruited for non-invasive brush sampling and analyzed with two validated automated methods both used in cervix cancer screening. For analysis of HR-HPV DNA the indicating FTA elute micro cardTM were used for dry collection, transportation and storage of the brush samples. For analysis of cell morphology changes an automated liquid base Cytology method (Preserve Cyt) combined with deep learning computer aided technique was used.Results: Preliminary results show that the FTA-method is reliable and indicates that healthy and malignant brush samples can be separated by image analysis. Conclusions: With further development of these fully automated methods, it is possible to implement a National Screening Program of the oral mucosa, and thereby select patients for further investigation in order to find lesions with potential malignancy in an early stage.
|
|
| 3. |
|
|
| 4. |
|
|
| 5. |
- Sarve, Hamid, et al.
(författare)
-
Extracting 3D information on bone remodeling in the proximity of titanium implants in SRμCT image volumes.
- 2011
-
Ingår i: Computer methods and programs in biomedicine. - : Elsevier BV. - 1872-7565 .- 0169-2607. ; 102:1, s. 25-34
-
Tidskriftsartikel (refereegranskat)abstract
- Bone-implant integration is measured in several ways. Traditionally and routinely, 2D histological sections of samples, containing bone and the biomaterial, are stained and analyzed using a light microscope. Such histological section provides detailed cellular information about the bone regeneration in the proximity of the implant. However, this information reflects the integration in only a very small fraction, a 10 μm thick slice, of the sample. In this study, we show that feature values quantified on 2D sections are highly dependent on the orientation and the placement of the section, suggesting that a 3D analysis of the whole sample is of importance for a more complete judgment of the bone structure in the proximity of the implant. We propose features describing the 3D data by extending the features traditionally used for 2D-analysis. We present a method for extracting these features from 3D image data and we measure them on five 3D SRμCT image volumes. We also simulate cuts through the image volume positioned at all possible section positions. These simulations show that the measurement variations due to the orientation of the section around the center line of the implant are about 30%.
|
|
| 6. |
- Sarve, Hamid, et al.
(författare)
-
Image Analysis of Bone Tissue Remodelling Around Implants
- 2007
-
Ingår i: European Conference on Biomaterials 2007.
-
Konferensbidrag (populärvet., debatt m.m.)abstract
- Most of the state of the art image analysis programs available on the market have several things in common and irrespective of program, quite a lot of time is needed before results can be obtained. There is a need to search for quicker- and reliable histomorphometrical methods in order to screen the implant integration in bone tissue when working on 2D-cut and ground sections. There is a need to find reliable 3D methods in order to provide a better insight in bone modelling and remodelling around implants. We foresee that extracting information obtained with different techniques would help us to gain the understanding of integration of biomaterials. This material is a summary of an ongoing project in this topic in the following manner: (i) presenting an automatic method for performing quantitative measurements on the histological images and its evaluation. (ii)SRµCT imaging of samples and observations made so far.
|
|
| 7. |
|
|
| 8. |
- Sarve, Hamid, et al.
(författare)
-
Methods for visualization of bone tissue in the proximity of implants
- 2010
-
Ingår i: Computer vision and graphics. - Berlin : Springer. - 9783642159060 ; 6375, s. 243-250
-
Konferensbidrag (refereegranskat)abstract
- In this work we present two methods for visualization of SRμCT-scanned 3D volumes of screw-shaped bone implant samples: thread fly-through and 2D unfolding. The thread fly-through generates an animation by following the thread helix and extracting slices along it. Relevant features, such as bone ratio and bone implant contact, are computed for each slice of the animation and displayed as graphs beside the animation. The 2D unfolding, on the other hand, maps the implant surface onto which feature information is projected to a 2D image, providing an instant overview of the whole implant. The unfolding is made area-preserving when appropriate. These visualization methods facilitate better understanding of the bone-implant integration and provides a good platform for communication between involved experts.
|
|
| 9. |
- Sarve, Hamid, 1981-, et al.
(författare)
-
Quantification of Bone Remodeling in SRuCTImages of Implants
- 2009
-
Ingår i: 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009. - Heidelberg : Springer Verlag. - 9783642022296 ; , s. 770-779, s. 770-779
-
Konferensbidrag (refereegranskat)abstract
- For quantification of bone remodeling around implants, wecombine information obtained by two modalities: 2D histological sectionsimaged in light microscope and 3D synchrotron radiation-based computedmicrotomography, SRμCT. In this paper, we present a methodfor segmenting SRμCT volumes. The impact of shading artifact at theimplant interface is reduced by modeling the artifact. The segmentationis followed by quantitative analysis. To facilitate comparison with existingresults, the quantification is performed on a registered 2D slicefrom the volume, which corresponds to a histological section from thesame sample. The quantification involves measurements of bone areaand bone-implant contact percentages.We compare the results obtained by the proposed method on the SRμCTdata with manual measurements on the histological sections and discussthe advantages of including SRμCT data in the analysis.
|
|
| 10. |
- Sarve, Hamid, et al.
(författare)
-
Quantification of bone remodeling in the proximity of implants
- 2007
-
Ingår i: Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns (CAIP07). - Berlin : Springer. - 9783540742715 ; , s. 253-260, s. 253-260
-
Konferensbidrag (refereegranskat)abstract
- In histomorphometrical investigations of bone tissue modeling around screw-shaped implants, the manual measurements of bone area and bone-implant contact length around the implant are time consuming and subjective. In this paper we propose an automatic image analysis method for such measurements. We evaluate different discriminant analysis methods and compare the automatic method with the manual one. The results show that the principal difference between the two methods occurs in length estimation, whereas the area measurement does not differ significantly. A major factor behind the dissimilarities in the results is believed to be misclassification of staining artifacts by the automatic method.
|
|
