Learn More
OBJECTIVE To assess the usefulness of transverse cerebellar diameter (TCD) as an independent parameter for gestational age assessment in third trimester of pregnancy. DESIGN An observational study. PLACE AND DURATION OF STUDY Diagnostic Radiology Department, PNS Shifa, Karachi between April 2002 to July 2004. PATIENTS AND METHODS This study was(More)
Iterative reconstruction methods applied to image reconstruction in three-dimensional (3D) positron emission tomography (PET) should result in possibly better images than analytical reconstruction algorithms. However, the long reconstruction time has remained an obstacle to their development and, moreover, their clinical routine use. Together with the(More)
OBJECTIVE To find out the frequency and patterns of various lesions in tuberculous spondylitis in adults on magnetic resonance imaging (MRI). STUDY DESIGN Case series. PLACE AND DURATION OF STUDY Radiology Department, Military Hospital (MH) Rawalpindi, from September 2006 to March 2007. METHODOLOGY Patients with features suggestive of tuberculous(More)
The unwrapping problem has been a major topic of research for over a decade. A variety of algorithms were suggested, but a correct solution is by no means guaranteed. In addition, many of these techniques are timeconsuming issues. In this work, we propose a simple and fast method, which combines conventional temporal unwrapping with a nonlinear phase model(More)
The effectiveness of decoherence suppression schemes is explored using quantum bits (qubits) stored in Li np Rydberg states. Following laser excitation, pulsed electric fields coherently control the electronic spin-orbit coupling, facilitating qubit creation, manipulation, and measurement. Spin-orbit coupling creates an approximate decoherence-free subspace(More)
Classification of brain tissues is becoming an increasingly useful tool for investigating the aging brain or disease-induced brain alterations. Numerous strategies have been proposed to classify brain tissues into white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF). However, many of them fail when classifying specific regions with low contrast(More)
In this work, we present a set of techniques that considerably improve the performance of executing concurrent MapReduce jobs. Our proposed solution relies on proper resource allocation for concurrent Hive jobs based on data dependency, inter-query optimization and modeling of Hadoop cluster load. To the best of our knowledge, this is the first work towards(More)
  • 1