@inproceedings{3a3a87447b8b42ecb7b484230703c07f,
title = "Autofocusing of clinical shoulder MR images for correction of motion artifacts",
abstract = "A post-processing{\textquoteright}{\textquoteright}autofocusing” algorithm for the reduction of motion artifacts in MR images has been developed and tested on a large clinical data set of high resolution shoulder images. The algorithm uses only the raw (complex) data from the MR scanner, and requires no knowledge of the patient motion during the scan, deducing that from the raw data itself. It operates by searching over the space of possible patient motions and optimizing the image quality. Evaluation of this technique on the clinical data set (for which navigator echo based measured motions and corrected images were available) show that the algorithm can correct for the effects of global translation during the scan almost as well as the navigator echo approach and is more robust.",
author = "Armando Manduca and McGee, {Kiaran P.} and Welch, {E. Brian} and Felmlee, {Joel P.} and Ehman, {Richard L.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1998.; 1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998 ; Conference date: 11-10-1998 Through 13-10-1998",
year = "1998",
doi = "10.1007/bfb0056245",
language = "English (US)",
isbn = "3540651365",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "598--605",
editor = "Wells, {William M.} and Alan Colchester and Scott Delp",
booktitle = "Medical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings",
}