Results 341 to 350 of about 1,826,590 (358)

Approximate 3D iterative reconstruction for SPECT

Medical Physics, 1997
Compared with slice‐by‐slice approaches for SPECT reconstruction, three‐dimensional iterative methods provide a more accurate physical model and an improved SPECT image. Clinical application of these methods, however, is limited primarily by their computational demands.
David R. Gilland, R. Edward Coleman, Terence A. Riauka, Ronald J. Jaszczak   +3 more
openaire   +3 more sources

Iterative Reconstruction in PET Routine

1997
A single projection procedure with high overrelaxation for iterative reconstruction of PET images is described which is precise and rapid, and therefore suitable for practical use. The best values of overrelaxation are determined with typical data. An image needs bewtween three and eight iterative steps, depending on the requested precision.
P. Schmidlin, J. Doll, G. Brix, M. E. Bellemann, W. J. Lorenz   +4 more
openaire   +2 more sources

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements

Computer Vision and Pattern Recognition, 2016
K. Kulkarni, Suhas Lohit, P. Turaga, Ronan Kerviche, A. Ashok   +4 more
semanticscholar   +1 more source

CT iterative vs deep learning reconstruction: comparison of noise and sharpness

European Radiology, 2020
Chankue Park, K. Choo, Yunsub Jung, H. Jeong, J. Hwang, Mi Sook Yun   +5 more
semanticscholar   +1 more source

CT iterative reconstruction algorithms: a task-based image quality assessment

European Radiology, 2019
J. Greffier, J. Frandon, A. Larbi, J. Beregi, F. Pereira   +4 more
semanticscholar   +1 more source

Iterative image reconstruction for tomosynthesis

2014
The task of the tomographic reconstruction algorithm is to recover the unknown distribution of the X-ray attenuation coefficients based on the measured data. In this chapter a family of iterative reconstruction algorithms will be discussed. First, the formulation of the discrete model will be introduced and the reconstruction problem will be formulated
openaire   +2 more sources

Full model-based iterative reconstruction (MBIR) in abdominal CT increases objective image quality, but decreases subjective acceptance

European Radiology, 2019
G. Laurent, N. Villani, G. Hossu, A. Rauch, A. Nöel, A. Blum, P. G. Gondim Teixeira   +6 more
semanticscholar   +1 more source

Learning Iterative Image Reconstruction

2003
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. In this chapter, I show how to use Neural Abstraction Pyramid networks for both analysis and synthesis of images. The networks have a hierarchical architecture which represents images in multiple scales with different degrees of ...
openaire   +2 more sources

Iterative Image Reconstruction

2004
DAVID S. LALUSH, MILES N. WERNICK
openaire   +1 more source

AIR Tools II: algebraic iterative reconstruction methods, improved implementation

Numerical Algorithms, 2017
P. Hansen, J. S. Jørgensen
semanticscholar   +1 more source