Biomedical subjects

Zia Khan

Publications and source records attributed to Zia Khan.

5 recordsLinked to original sources

PubMed2006

MCMC data association and sparse factorization updating for real time multitarget tracking with merged and multiple measurements.

In several multitarget tracking applications, a target may return more than one measurement per target and interacting targets may return multiple merged measurements between targets. Existing algorithms for tracking and data association, initially applied to radar tracking, do not adequately address these types of measurements. Here, we introduce a probabilistic model for interacting targets that addresses both types of measurements simultaneously. We provide an algorithm for approximate inference in this model using a Markov chain Monte Carlo (MCMC)-based auxiliary variable particle filter. We Rao-Blackwellize the Markov chain to eliminate sampling over the continuous state space of the targets. A major contribution of this work is the use of sparse least squares updating and downdating techniques, which significantly reduce the computational cost per iteration of the Markov chain. Also, when combined with a simple heuristic, they enable the algorithm to correctly focus computation on interacting targets. We include experimental results on a challenging simulation sequence. We test the accuracy of the algorithm using two sensor modalities, video, and laser range data. We also show the algorithm exhibits real time performance on a conventional PC.

Algorithms↗

PubMed2005

MCMC-based particle filtering for tracking a variable number of interacting targets.

We describe a particle filter that effectively deals with interacting targets--targets that are influenced by the proximity and/or behavior of other targets. The particle filter includes a Markov random field (MRF) motion prior that helps maintain the identity of targets throughout an interaction, significantly reducing tracker failures. We show that this MRF prior can be easily implemented by including an additional interaction factor in the importance weights of the particle filter. However, the computational requirements of the resulting multitarget filter render it unusable for large numbers of targets. Consequently, we replace the traditional importance sampling step in the particle filter with a novel Markov chain Monte Carlo (MCMC) sampling step to obtain a more efficient MCMC-based multitarget filter. We also show how to extend this MCMC-based filter to address a variable number of interacting targets. Finally, we present both qualitative and quantitative experimental results, demonstrating that the resulting particle filters deal efficiently and effectively with complicated target interactions.

Algorithms↗

PubMed2005

An outdoor 3-D visual tracking system for the study of spatial navigation and memory in rhesus monkeys.

Previous studies of the navigational abilities of nonhuman primates have largely been limited to what could be described by a human observer with a pen and paper. Consequently, we have developed a system that uses a pair of cameras to automatically obtain the three-dimensional trajectory of rhesus monkeys performing an outdoor spatial navigation and memory task. The system provides trajectories, path length, speed, and other variables that would be impossible for an unaided observer to note. From trajectory data, we computed and validated a path-length measurement. We use this measurement to compare the navigation abilities of several animals. In addition, we provide quantitative data on the accuracy of a method for automatic behavior detection. Currently, the system is being used to examine the sex differences in spatial navigation of rhesus monkeys. We expect that measures derived from the trajectory data will reveal strategies used by animals to solve spatial problems.

Animals↗

PubMed2004

Potential contributory role of H-Ras, a small G-protein, in the development of retinopathy in diabetic rats.

Hyperglycemia is thought to be the underlying factor in the development of diabetic retinopathy, but the mechanisms involved remain partially understood. Diabetes increases oxidative stress, and reactive oxygen species affect the interactions between a small-molecular- weight G-protein, H-Ras, and several of its effector proteins. The purpose of this study was to examine the regulatory role of H-Ras in glucose-induced apoptosis of retinal endothelial cells. The expressions of H-Ras and its effector protein (Raf-1) were compared in the retina obtained from diabetic rats (2-8 months' duration) and age-matched normal rats and in retinal endothelial cells exposed to high-glucose medium. The effect of inhibition of H-Ras function on glucose-induced capillary cell death and the potential involvement of oxidative stress in diabetes-induced activation of H-Ras were also determined. The expressions of H-Ras and Raf-1 were increased in the retina in diabetes, and antioxidant therapy prevented diabetes-induced increased protein and mRNA expressions. The inhibitors of Ras farnesylation inhibited glucose-induced nitric oxides and apoptosis in isolated retinal endothelial cells. Thus, the results suggest that functional activation of H-Ras might be one of the signaling steps involved in glucose-induced capillary cell apoptosis and supports the role of H-Ras in the development of retinopathy in diabetes.

Animals↗

PubMed2002

Urinary trypsinogen activation peptide is more accurate than hematocrit in determining severity in patients with acute pancreatitis: a prospective study.

OBJECTIVE: The management of patients with acute pancreatitis is complicated by the inability to distinguish mild from severe disease during the early stages. It has been previously shown that urinary trypsinogen activation peptide (TAP) and hematocrit (Hct) may serve as early predictors of severity in patients with acute pancreatitis. To establish which marker is more accurate in the determination of severity in patients with acute pancreatitis, a prospective study was performed. METHODS: A consecutive series of patients admitted with pain consistent with acute pancreatitis and an amylase of three times the upper limit of normal were included. The admission and 24-h Hct was obtained. A urine sample was obtained within 12 h of admission. Urinary TAP was determined using a modified solid phase ELISA. Severity was defined by the Atlanta Symposium, as the presence of organ failure and/or pancreatic necrosis. RESULTS: Fifty-eight consecutive patients with acute pancreatitis participated. There were 33 men and 25 women with a mean age of 60 +/- 19. Thirty-nine patients had mild disease; 19 had severe disease. Urinary TAP was elevated in 26 patients. All patients with severe pancreatitis were correctly identified as having severe disease by an elevated urinary TAP (sensitivity 100%, specificity 77%). The admission Hct was higher than 47 in only three patients, all with mild disease. Of the patients with a rise in Hct, eight had mild disease, and only one had severe disease. Using a Hct of 44 as a cutoff did not affect the accuracy. There was no association between a rise in Hct and failure of Hct to decrease in the determination of severity. CONCLUSIONS: In comparison to admission Hct, urinary TAP was more accurate in determining severity in patients with acute pancreatitis by Atlanta, APACHE II, and Ranson criteria. We conclude that urinary TAP is a more accurate predictor of severity in patients with acute pancreatitis compared with Hct. Urinary TAP should be used to determine severity in patients early in the course of acute pancreatitis.

Acute Disease↗