scispace - formally typeset
D

D. Visvikis

Researcher at French Institute of Health and Medical Research

Publications -  53
Citations -  1544

D. Visvikis is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: Iterative reconstruction & Imaging phantom. The author has an hindex of 17, co-authored 53 publications receiving 1335 citations.

Papers
More filters
Journal ArticleDOI

List-mode-based reconstruction for respiratory motion correction in PET using non-rigid body transformations

TL;DR: Results demonstrate that although both correction techniques considered lead to significant improvements in accounting for respiratory motion artefacts in the lung fields, the elastic-transformation-based correction leads to a more uniform improvement across the lungs for different lesion sizes and locations.
Journal ArticleDOI

In vivo imaging of cellular proliferation in colorectal cancer using positron emission tomography.

TL;DR: 18FLT PET correlates with cellular proliferation markers in both primary and metastatic CRC, which could provide a mechanism for in vivo grading of malignancy and early prediction of response to adjuvant chemotherapy.
Journal ArticleDOI

A multiresolution image based approach for correction of partial volume effects in emission tomography

TL;DR: A methodology for PVE correction not only to enable the accurate recuperation of activity concentrations, but also to generate PVE-corrected images was developed, proving the ability to obtain accurately corrected images.
Journal ArticleDOI

CT-based attenuation correction in the calculation of semi-quantitative indices of [18F]FDG uptake in PET.

TL;DR: CTACnb or CTACexp is a viable alternative to SAC for whole-body studies and careful consideration should be given to interpretation of images and use of SUVs in the presence of oral contrast and in the proximity of metallic implants.
Journal ArticleDOI

Incorporation of wavelet-based denoising in iterative deconvolution for partial volume correction in whole-body PET imaging

TL;DR: The appropriate combination of deconvolution and wavelet-based denoising is an efficient method for reducing PVEs in emission tomography.