@inproceedings{5980dd93a74d437fa8ed616f3183eb6f,
title = "MRI inter-slice reconstruction using super-resolution",
abstract = "MRI reconstruction using super-resolution is presented and shown to improve spatial resolution in cases when spatially-selective RF pulses are used for localization. In 2D multislice MRI, the resolution in the slice direction is often worse than the in-plane resolution. For certain diagnostic imaging applications, isotropic resolution is necessary but true 3D acquisition methods are not practical. In this case, if the imaging volume is acquired two or more times, with small spatial shifts between acquisitions, combination of the data sets using an iterative superresolution algorithm gives improved resolution and better edge definition in the slice-select direction.",
author = "Hayit Greenspan and Sharon Peled and Gal Oz and Nahum Kiryati",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 ; Conference date: 14-10-2001 Through 17-10-2001",
year = "2001",
doi = "10.1007/3-540-45468-3_164",
language = "אנגלית",
isbn = "3540426973",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1204--1206",
editor = "Niessen, {Wiro J.} and Viergever, {Max A.}",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings",
address = "גרמניה",
}