OBJECTIVES: Our aim was to develop a partial volume (PV) correction method of choline (Cho) signals detected by breast 3D-magnetic resonance spectroscopic imaging (3D-MRSI), using information from water/fat-Dixon MRI. METHODS: Following institutional review board approval, five breast cancer patients were measured at 3 T. 3D-MRSI (1 cm(3) resolution, duration ~11 min) and Dixon MRI (1 mm(3), ~2 min) were measured in vivo and in phantoms. Glandular/lesion tissue was segmented from water/fat-Dixon MRI and transformed to match the resolution of 3D-MRSI. The resulting PV values were used to correct Cho signals. Our method was validated on a two-compartment phantom (choline/water and oil). PV values were correlated with the spectroscopic water signal. Cho signal variability, caused by partial-water/fat content, was tested in 3D-MRSI voxels located in/near malignant lesions. RESULTS: Phantom measurements showed good correlation (r = 0.99) with quantified 3D-MRSI water signals, and better homogeneity after correction. The dependence of the quantified Cho signal on the water/fat voxel composition was significantly (p < 0.05) reduced using Dixon MRI-based PV correction, compared to the original uncorrected data (1.60-fold to 3.12-fold) in patients. CONCLUSIONS: The proposed method allows quantification of the Cho signal in glandular/lesion tissue independent of water/fat composition in breast 3D-MRSI. This can improve the reproducibility of breast 3D-MRSI, particularly important for therapy monitoring.
OBJECTIVES: Our aim was to develop a partial volume (PV) correction method of choline (Cho) signals detected by breast 3D-magnetic resonance spectroscopic imaging (3D-MRSI), using information from water/fat-Dixon MRI. METHODS: Following institutional review board approval, five breast cancerpatients were measured at 3 T. 3D-MRSI (1 cm(3) resolution, duration ~11 min) and Dixon MRI (1 mm(3), ~2 min) were measured in vivo and in phantoms. Glandular/lesion tissue was segmented from water/fat-Dixon MRI and transformed to match the resolution of 3D-MRSI. The resulting PV values were used to correct Cho signals. Our method was validated on a two-compartment phantom (choline/water and oil). PV values were correlated with the spectroscopic water signal. Cho signal variability, caused by partial-water/fat content, was tested in 3D-MRSI voxels located in/near malignant lesions. RESULTS: Phantom measurements showed good correlation (r = 0.99) with quantified 3D-MRSI water signals, and better homogeneity after correction. The dependence of the quantified Cho signal on the water/fat voxel composition was significantly (p < 0.05) reduced using Dixon MRI-based PV correction, compared to the original uncorrected data (1.60-fold to 3.12-fold) in patients. CONCLUSIONS: The proposed method allows quantification of the Cho signal in glandular/lesion tissue independent of water/fat composition in breast 3D-MRSI. This can improve the reproducibility of breast 3D-MRSI, particularly important for therapy monitoring.
Authors: Charles Gasparovic; Tao Song; Deidre Devier; H Jeremy Bockholt; Arvind Caprihan; Paul G Mullins; Stefan Posse; Rex E Jung; Leslie A Morrison Journal: Magn Reson Med Date: 2006-06 Impact factor: 4.668
Authors: K A Kvistad; I J Bakken; I S Gribbestad; B Ehrnholm; S Lundgren; H E Fjøsne; O Haraldseth Journal: J Magn Reson Imaging Date: 1999-08 Impact factor: 4.813
Authors: Pascal A T Baltzer; Alexander Gussew; Matthias Dietzel; Reinhard Rzanny; Mieczyslaw Gajda; Oumar Camara; Jürgen R Reichenbach; Werner A Kaiser Journal: NMR Biomed Date: 2011-05-09 Impact factor: 4.044