J
Jean-Baptiste Thibault
Researcher at GE Healthcare
Publications - 88
Citations - 3396
Jean-Baptiste Thibault is an academic researcher from GE Healthcare. The author has contributed to research in topics: Iterative reconstruction & Image quality. The author has an hindex of 26, co-authored 88 publications receiving 3183 citations. Previous affiliations of Jean-Baptiste Thibault include General Electric & Purdue University.
Papers
More filters
Journal ArticleDOI
A three-dimensional statistical approach to improved image quality for multislice helical CT.
TL;DR: Enhanced image resolution and lower noise have been achieved, concurrently with the reduction of helical cone-beam artifacts, as demonstrated by phantom studies and clinical results illustrate the capabilities of the algorithm on real patient data.
Journal ArticleDOI
Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization
TL;DR: A fast model-based iterative reconstruction algorithm using spatially nonhomogeneous ICD (NH-ICD) optimization that accelerates the reconstructions by roughly a factor of three on average for typical 3-D multislice geometries is presented.
Journal ArticleDOI
A novel reconstruction algorithm to extend the CT scan field-of-view.
TL;DR: A reconstruction algorithm is proposed that enables an adequate estimation of the projection outside the scan field-of-view (SFOV) and makes use of the fact that the total attenuation of each ideal projection in a parallel sampling geometry remains constant over views.
Journal ArticleDOI
Comparison of hybrid and pure iterative reconstruction techniques with conventional filtered back projection: dose reduction potential in the abdomen.
Sarabjeet Singh,Mannudeep K. Kalra,Synho Do,Jean-Baptiste Thibault,Homer Pien,Owen J. O'Connor,Michael A. Blake +6 more
TL;DR: Model-based iterative reconstruction renders acceptable image quality and diagnostic confidence in 50- mA s abdominal CT images, whereas FBP and ASIR images are associated with suboptimal image quality at this radiation dose level.
Journal ArticleDOI
Recent Advances in CT Image Reconstruction
TL;DR: For a selected few topics, the author has decided to provide sufficient high-level technical descriptions and to discuss their advantages and applications.