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
PET-guided prostate cancer radiotherapy: technological innovations for dose delivery optimisation
Giovanni Lucignani,Habib Zaidi +1 more
TL;DR: The key to optimal prostate cancer treatment is tumour characterisation and staging, and molecular imaging techniques, such as PET, may be helpful in treatment planning in these patients and PET/CT, in particular, is useful.
Journal ArticleDOI
SU-GG-I-102: Comparative Methods for PET Image Segmentation in Pharyngolaryngeal Squamous Cell Carcinoma
TL;DR: The BTVs delineated using the FCM technique seemingly was the most accurate segmentation technique and approximates closely the 3D BTV defined on the surgical specimen.
Proceedings ArticleDOI
Assessment of x-ray scatter for the micro-CT subsystem of the FLEX Triumph™ preclinical PET-CT scanner
Daniel Gutierrez,Habib Zaidi +1 more
TL;DR: MC is a very good alternative to experimental measurements of x-ray scatter in micro-CT imaging and can be used to validate novel scatter correction techniques and improve the accuracy of CTAC on preclinical PET-CT systems.
Journal Article
Joint estimation of activity and attenuation in TOF-PET/MR using constrained Gaussian mixture models
Abolfazl Mehranian,Habib Zaidi +1 more
Proceedings ArticleDOI
Impact of motion on indirect and direct reconstruction of kinetic parameters from dynamic PET data
Fotis A. Kotasidis,Charalampos Tsoumpas,Georgios I. Angelis,Julian C. Matthews,Andrew J. Reader,Habib Zaidi +5 more
TL;DR: This work evaluates the impact of body motion on kinetic parameters in dynamic abdominal and thoracic PET imaging using a novel 5-D numerical body phantom and compared parameter estimates obtained using both conventional post-reconstruction analysis as well as direct 4D image reconstruction.