Title | Hematoma volume measurement in gradient echo MRI using quantitative susceptibility mapping. |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Wang S, Lou M, Liu T, Cui D, Chen X, Wang Y |
Journal | Stroke |
Volume | 44 |
Issue | 8 |
Pagination | 2315-7 |
Date Published | 2013 Aug |
ISSN | 1524-4628 |
Keywords | Acute Disease, Aged, Cerebral Hemorrhage, Disease Susceptibility, Female, Hematoma, Humans, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Linear Models, Magnetic Resonance Imaging, Male, Middle Aged |
Abstract | BACKGROUND AND PURPOSE: A novel quantitative susceptibility mapping (QSM) processing technology has been developed to map tissue susceptibility property without blooming artifacts. We hypothesize that hematoma volume measurement on QSM is independent of imaging parameters, eliminating its echo time dependence on gradient echo MRI. METHODS: Gradient echo MRI of 16 patients with intracerebral hemorrhage was processed with susceptibility-weighted imaging, R2* (=1/T2*) mapping, and QSM at various echo times. Hematoma volumes were measured from these images. RESULTS: Linear regression of hematoma volume versus echo time showed substantial slopes for gradient echo magnitude (0.45±0.31 L/s), susceptibility-weighted imaging (0.52±0.46), and R2* (0.39±0.30) but nearly zero slope for QSM (0.01±0.05). At echo time=20 ms, hematoma volume on QSM was 0.80× that on gradient echo magnitude image (R2=0.99). CONCLUSIONS: QSM can provide reliable measurement of hematoma volume, which can be performed rapidly and accurately using a semiautomated segmentation tool. |
DOI | 10.1161/STROKEAHA.113.001638 |
Alternate Journal | Stroke |
PubMed ID | 23704111 |
PubMed Central ID | PMC3752301 |
Grant List | R01 NS072370 / NS / NINDS NIH HHS / United States R43NS076092 / NS / NINDS NIH HHS / United States R01NS07237 / NS / NINDS NIH HHS / United States R01EB013443 / EB / NIBIB NIH HHS / United States R01 EB013443 / EB / NIBIB NIH HHS / United States |
Related Institute:
MRI Research Institute (MRIRI)