H
Habib Zaidi
Researcher at University Medical Center Groningen
Publications - 557
Citations - 15951
Habib Zaidi is an academic researcher from University Medical Center Groningen. The author has contributed to research in topics: Imaging phantom & Correction for attenuation. The author has an hindex of 62, co-authored 513 publications receiving 13563 citations. Previous affiliations of Habib Zaidi include Johns Hopkins University & University of Southern Denmark.
Papers
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Journal ArticleDOI
MR constrained simultaneous reconstruction of activity and attenuation maps in brain TOF-PET/MR imaging
Abolfazl Mehranian,Habib Zaidi +1 more
TL;DR: It was found that the performance of MLAA_Salomon depends highly on the robustness of MR segmentation, particularly at air/bone interfaces, and the proposed approach effectively exploits MR prior information and produces attenuation maps that are spatially and statistically more consistent with true attenuated maps.
Journal ArticleDOI
Classification of bones from MR images in torso PET-MR imaging using a statistical shape model
TL;DR: A new technique based on statistical shape modeling to segment bones and generate a four-class attenuation map is introduced, which is based on a torso bone shape model based on principle component analysis (PCA) and compared to corresponding attenuation maps derived from CT.
Journal ArticleDOI
Assessment of scatter for the micro-CT subsystem of the trimodality FLEX Triumph preclinical scanner.
Daniel Gutierrez,Habib Zaidi +1 more
TL;DR: The highest difference was found in the extreme peripheral region of the small phantom, while the maximum difference at the center of the phantom is about 6%, indicating that MC simulations can reproduce well the experimental results, at least in the region inside the phantom.
Proceedings ArticleDOI
Hybrid whole-body dynamic TOF PET imaging for simultaneous estimation of compartmental and patlak parametric maps from continuous bed motion data
TL;DR: Initial results suggest that not only Ki images from full modelling provide superior tumor to background contrast and improved variance to Patlak Ki but additional micro-parameters are made available to the referring clinician, enabling multi-parametric evaluation of the disease within a clinically feasible dynamic imaging protocol.
Proceedings ArticleDOI
Impact of x-ray tube voltage, field size and object thickness on scattered radiation distribution in diagnostic radiology: A Monte Carlo investigation
TL;DR: The results indicate that the MCNP4C code is a useful tool for modelling of scattered radiation in diagnostic radiology provided careful adjustment of the appropriate MCNP cards is carried out by experienced users.