Progression Detection of Glaucoma from Polarimetric Images

Detecting glaucoma progression is crucial for assessing the effectivity of the treatment. This paper describes three methods for detecting progression related changes in polarimetric images of the retinal nerve fiber layer (NFL), both on a global and on a local scale. Detecting global changes proved not to be feasible due to poor reproducibility of the measurements at the pixel level. Local progression on the other hand could be detected. A distribution based approach did not work, but locating specific areas with minimum size and minimum NFL decrease did give relevant results. The described algorithm yielded a TPR of 0.42 and an FPR of 0.095 on our datasets. It proved to be able to outline suspect areas that show NFL reductio

Gross genomic damage measured by DNA image cytometry independently predicts gastric cancer patient survival

BACKGROUND: DNA aneuploidy reflects gross genomic changes. It can be measured by flow cytometry (FCM-DNA) or image cytometry (ICM-DNA). In gastric cancer, the prevalence of DNA aneuploidy has been reported to range from 27 to 100%, with conflicting associations with clinicopathological variables. The aim of our study was to compare the DNA ploidy status measured using FCM-DNA and ICM-DNA in gastric cancer and to evaluate its association with clinicopathological variables. METHODS: Cell nuclei were isolated from 221 formalin-fixed, paraffin-embedded gastric cancer samples. DNA ploidy was assessed using FCM-DNA and ICM-DNA. RESULTS: A total of 178 (80.5%) gastric cancer samples were classified as DNA aneuploid using FCM-DNA, compared with 172 (77.8%) gastric cancer samples when using ICM-DNA. Results obtained from both methods were concordant in 183 (82.8%) cases (kappa = 0.48). Patients with ICM-DNA diploid gastric cancer survived significantly longer than those with ICM-DNA aneuploid gastric cancer (log rank 10.1, P = 0.001). For FCM-DNA data, this difference did not reach statistical significance. The multivariate Cox model showed that ICM-DNA ploidy status predicted patient survival independently of tumour-node-metastasis status. CONCLUSION: ICM-DNA ploidy status is an independent predictor of survival in gastric cancer patients and may therefore be a more clinically relevant read out of gross genomic damage than FCM-DNA. British Journal of Cancer (2009) 101, 1011-1018. doi:10.1038/sj.bjc.6605266 www.bjcancer.com (C) 2009 Cancer Research U

Segmentation and Deformation Modelling for Hysteroscopic Surgery

. This paper describes some general issues in minimally invasive surgery and particularly the application to hysteroscopic surgery. In the hysteroscopic removal of myomata the surgeon lacks a proper 3D overview of the working area. Presenting the surgeon both pre- and peroperatively with an up-to-date representation of objects in the pelvic region improves his perception. Segmentation of the pre-operative situation is done using dynamic programming. A deformable model based on 3D reconstruction is presented for use in the per-operative situation which can be kept up-to-date with a per-operative ultrasound image. The results of segmentation and a prototype deformation model are shown. 1 Introduction Over the past few years endoscopic surgery has become a well established technique to perform minimally-invasive surgical procedures. Among the benefits of the minimal access approach are less pain perceived by the patient, reduced tissue damage and faster recovery compared to `traditional'..