SUMMARY The authors developed and applied two new linearized reference tissue models for parametric images of binding potential (BP) and relative delivery (R1) for [11C]DASB positron emission tomography imaging of serotonin transporters in human brain. The original multilinear reference tissue model (MRTM(O)) was modified (MRTM) and used to estimate a clearance rate (k'2) from the cerebellum (r...

We performed full modeling analysis of 5-HT(1A)-[(18)F]MPPF interactions using the beta-microprobe (beta P) and a YAP-(S)PET scanner. Sixteen Wistar rats were used for beta P (n=5) and YAP-(S)PET (n=5) acquisitions and metabolite studies (n=6). Time-concentration curves were obtained in the hippocampus, raphe dorsalis, frontal cortex and cerebellum, using three injections of [(18)F]MPPF at diff...

An approach to DEM fusion was developed to improve the overall accuracy of DEMs and applied to two public products: Shuttle Radar Topographic Mission (SRTM) DEM and Advanced Spaceborne Thermal Emission and Reflection (ASTER) DEM. The relative ASTER DEM was co-registered to the SRTM coordinates and converted to the near absolute DEM by shifting the histogram to the average elevation of the SRTM ...

The Digital Elevation Number (DEM) is the main tool for quantitative geomorphological tests. Furthermore, Shuttle Radar Topography Mission (SRTM) images with a resolution of 30 m have been widely used as source DEM data in studies, while DEMNAS (National DEM) 8 are rarely used. Both can identify typical volcanic morphology based on visual comparison hillshade certain variations slope. objective...

A public computing project named Terrain@home, is built on BOINC for extracting terrain features from global scope DEM data. Shuttle Radar Topography Mission (SRTM), which is a near global scope database of high accuracy elevation data, is selected as test data for Terrain@home. Conventional algorithms for terrain features auto extracting for example slope gradient, delineating drainage network...

This paper evaluates the opportunity provided by global interferometric radar datasets for monitoring deforestation, degradation and forest regrowth in tropical and semi-arid environments. The paper describes an easy to implement method for detecting forest spatial changes and estimating their magnitude. The datasets were acquired within space-borne high spatial resolutions radar missions at ne...

Vegetation canopy height is one of the fundamental structural parameters for estimating forest biomass and evaluating forest carbon balance. Remote sensing technologies like interferometric synthetic aperture radar (abbreviated as IFSAR or IFSAR) may provide a means to extract vegetation canopy heights remotely. A comparison of canopy height estimates derived from IFSAR scattering phase center ...