PURPOSE: To evaluate different susceptibility-weighted imaging (SWI) phase processing methods and parameter selection, thereby improving understanding of potential artifacts, as well as facilitating choice of methodology in clinical settings. MATERIALS AND METHODS: Two major phase processing methods, homodyne-filtering and phase unwrapping-high pass (HP) filtering, were investigated with various phase unwrapping approaches, filter sizes, and filter types. Magnitude and phase images were acquired from a healthy subject and brain injury patients on a 3T clinical Siemens MRI system. The results were evaluated based on image contrast-to-noise ratio and presence of processing artifacts. RESULTS: When using a relatively small filter size (32 pixels for the matrix size 512 × 512 pixels), all homodyne-filtering methods were subject to phase errors leading to 2% to 3% masked brain area in lower and middle axial slices. All phase unwrapping-filtering/smoothing approaches demonstrated fewer phase errors and artifacts compared to the homodyne-filtering approaches. For performing phase unwrapping, Fourier-based methods, although less accurate, were 2-4 orders of magnitude faster than the PRELUDE, Goldstein, and Quality-guide methods. CONCLUSION: Although homodyne-filtering approaches are faster and more straightforward, phase unwrapping followed by HP filtering approaches perform more accurately in a wider variety of acquisition scenarios.
PURPOSE: To evaluate different susceptibility-weighted imaging (SWI) phase processing methods and parameter selection, thereby improving understanding of potential artifacts, as well as facilitating choice of methodology in clinical settings. MATERIALS AND METHODS: Two major phase processing methods, homodyne-filtering and phase unwrapping-high pass (HP) filtering, were investigated with various phase unwrapping approaches, filter sizes, and filter types. Magnitude and phase images were acquired from a healthy subject and brain injurypatients on a 3T clinical Siemens MRI system. The results were evaluated based on image contrast-to-noise ratio and presence of processing artifacts. RESULTS: When using a relatively small filter size (32 pixels for the matrix size 512 × 512 pixels), all homodyne-filtering methods were subject to phase errors leading to 2% to 3% masked brain area in lower and middle axial slices. All phase unwrapping-filtering/smoothing approaches demonstrated fewer phase errors and artifacts compared to the homodyne-filtering approaches. For performing phase unwrapping, Fourier-based methods, although less accurate, were 2-4 orders of magnitude faster than the PRELUDE, Goldstein, and Quality-guide methods. CONCLUSION: Although homodyne-filtering approaches are faster and more straightforward, phase unwrapping followed by HP filtering approaches perform more accurately in a wider variety of acquisition scenarios.
Authors: Vivek Sehgal; Zachary Delproposto; E Mark Haacke; Karen A Tong; Nathaniel Wycliffe; Daniel K Kido; Yingbiao Xu; Jaladhar Neelavalli; Djamel Haddar; Jürgen R Reichenbach Journal: J Magn Reson Imaging Date: 2005-10 Impact factor: 4.813
Authors: Karin Shmueli; Jacco A de Zwart; Peter van Gelderen; Tie-Qiang Li; Stephen J Dodd; Jeff H Duyn Journal: Magn Reson Med Date: 2009-12 Impact factor: 4.668
Authors: Cesar Reis; Yuechun Wang; Onat Akyol; Wing Mann Ho; Richard Applegate Ii; Gary Stier; Robert Martin; John H Zhang Journal: Int J Mol Sci Date: 2015-05-26 Impact factor: 5.923
Authors: Lisa C Adams; Keno Bressem; Sarah Maria Böker; Yi-Na Yvonne Bender; Dominik Nörenberg; Bernd Hamm; Marcus R Makowski Journal: Sci Rep Date: 2017-11-14 Impact factor: 4.379