The effect of varying spectral resolution on the quality of high spectral and spatial resolution magnetic resonance images of the breast

Medved, Milica; Du, Wei; Zamora, Marta; Fan, Xiaobing; Olopade, Olufunmilayo I.; MacEneaney, Peter; Newstead, Gillian M.; Karczmar, Gregory S.

doi:10.1002/jmri.10378

Cited by 21 publications

(42 citation statements)

References 41 publications

(29 reference statements)

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“…It has been demonstrated that, with newer equipment (a GE SIGNA TM 1.5 T whole-body clinical scanner equipped with high-performance self-shielded gradient coils), EPSI data can be acquired at very high spectral and spatial resolution without distortion of water spectra from small voxels. 17,18 The data acquired from human breast with modern scanners often show complicated water spectra with multiple components in small voxels. 17,18 It is likely that, with improved equipment, results of similar quality can be obtained for rodent prostate cancers.…”

Section: Discussionmentioning

confidence: 99%

“…17,18 The data acquired from human breast with modern scanners often show complicated water spectra with multiple components in small voxels. 17,18 It is likely that, with improved equipment, results of similar quality can be obtained for rodent prostate cancers.…”

Section: Discussionmentioning

confidence: 99%

“…11,17,23 Sarkar et al have successfully used echo-planar spectroscopic imaging (EPSI) to improve anatomic imaging of the human pelvis and joints. 11 Work from this laboratory demonstrated improved anatomical and functional imaging of rodent tumors [12][13][14][15] and human breast [16][17][18] with high spectral and spatial resolution (HiSS). 19,20 Yang et al demonstrated that both SNR and T vasogenic edema and brain functional activity, by using a variant of EPSI.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of high‐resolution echo‐planar spectroscopic imaging with conventional MR imaging of prostate tumors in mice

Fan

Foxley

et al. 2005

NMR in Biomedicine

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High spectral and spatial resolution (HiSS) MRI of rodent tumors has previously been performed using conventional spectroscopic imaging to obtain images with improved contrast and anatomic detail. The work described here evaluates the use of much faster echo-planar spectroscopic imaging (EPSI) to acquire HiSS data from rodent tumor models of prostate cancer. A high-resolution EPSI pulse sequence was implemented on a 4.7 T Bruker scanner. Three-dimensional EPSI data were Fourier-transformed along the k-space and temporal (free-induction decay) axes to produce detailed water and fat spectra associated with each small image voxel. The data were used to generate images of spectral parameters, e.g. peak-height images for each small voxel. Two variants of EPSI were performed; gradient-echo or spin-echo excitation with EPSI readout. These imaging methods were tested in commonly used rodent prostate cancers, including seven mice implanted with non-metastatic AT2.1 (n ¼ 3) and metastatic AT3.1 (n ¼ 4) prostate tumors on the hind leg, and 10 mice implanted with LNCaP prostate cancers in situ. The peak-height images derived from EPSI datasets provide more detailed tumor anatomy, improved signal-to-noise and contrast-to-noise ratios compared with the gradient-echo or spin-echo images at all echo times. The results suggest that HiSS MRI data from small animal models of prostate cancer can be acquired using EPSI, and that this approach improves imaging of heterogeneous tissue and vascular environments inside the tumors compared with conventional MR techniques.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of high‐resolution echo‐planar spectroscopic imaging with conventional MR imaging of prostate tumors in mice

Fan

Foxley

et al. 2005

NMR in Biomedicine

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“…The Fourier component images from HiSS data allow for isolation of signals from predominately water-based fibroglandular tissue and fatty regions, demonstrating better spectral resolution than mDixon methods 57,58 and more complete fat signal suppression than T1-weighted methods. 59,60 Earlier work showed that HiSS is a potentially useful noncontrast imaging method for breast lesion detection and characterization, [61][62][63][64][65] showing similar performance levels [from a receiver operating characteristic (ROC) analysis] with DCE-MRI 63 in the task of distinguishing between cancer and noncancer cases. In this work, we expand the application of noncontrast HiSS breast MRI to the quantitative assessment of breast density.…”

Section: Introductionmentioning

confidence: 99%

Breast density estimation from high spectral and spatial resolution MRI

Weiss

Medved

et al. 2016

J. Med. Imag

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Abstract. A three-dimensional breast density estimation method is presented for high spectral and spatial resolution (HiSS) MR imaging. Twenty-two patients were recruited (under an Institutional Review Board-approved Health Insurance Portability and Accountability Act-compliant protocol) for high-risk breast cancer screening. Each patient received standard-of-care clinical digital x-ray mammograms and MR scans, as well as HiSS scans. The algorithm for breast density estimation includes breast mask generating, breast skin removal, and breast percentage density calculation. The inter-and intra-user variabilities of the HiSS-based density estimation were determined using correlation analysis and limits of agreement. Correlation analysis was also performed between the HiSS-based density estimation and radiologists' breast imaging-reporting and data system (BI-RADS) density ratings. A correlation coefficient of 0.91 (p < 0.0001) was obtained between left and right breast density estimations. An interclass correlation coefficient of 0.99 (p < 0.0001) indicated high reliability for the inter-user variability of the HiSS-based breast density estimations. A moderate correlation coefficient of 0.55 (p ¼ 0.0076) was observed between HiSS-based breast density estimations and radiologists' BI-RADS. In summary, an objective density estimation method using HiSS spectral data from breast MRI was developed. The high reproducibility with low inter-and low intra-user variabilities shown in this preliminary study suggest that such a HiSS-based density metric may be potentially beneficial in programs requiring breast density such as in breast cancer risk assessment and monitoring effects of therapy. Keywords: high spatial and spectral resolution MRI; echo planar spectroscopic imaging; SENSE acceleration; breast cancer screening and diagnosis; breast density measurement.Paper 16187R

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“…High spectral and spatial resolution (HiSS) MR imaging has been used to separate water and fat spectra for detection of breast cancers, 8,9 and images of T 2 * in murine mammary cancer were calculated from the water resonance in each voxel. 10,11 Alternatively, the T 2 * can be measured by analyzing a train of gradient echoes in the time domain. This approach is particularly useful when the proton free induction decay (FID) is sampled unevenly and=or for a relatively short period of time.…”

Section: Introductionmentioning

confidence: 99%

T₂* relaxation times of intraductal murine mammary cancer, invasive mammary cancer, and normal mammary gland

et al. 2012

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Purpose: This study investigates the feasibility of T 2 * to be a diagnostic indicator of early breast cancer in a mouse model. T 2 * is sensitive to susceptibility effects due to local inhomogeneity of the magnetic field, e.g., caused by hemosiderin or deoxyhemoglobin. In these mouse models, unlike in patients, the characteristics of single mammary ducts containing pure intraductal cancer can be evaluated. Methods: The C3(1)SV40Tag mouse model of breast cancer (n ¼ 11) and normal FVB=N mice (n ¼ 6) were used to measure T 2 * of normal mammary gland tissue, intraepithelial neoplasia, invasive cancers, mammary lymph nodes, and muscle. MRI experiments were performed on a 9.4T animal scanner. High resolution (117 microns) axial 2D multislice gradient echo images with fat suppression were acquired first to identify inguinal mammary gland. Then a multislice multigradient echo pulse sequence with and without fat suppression were performed over the inguinal mammary gland. The modulus of a complex double exponential decay detected by the multigradient echo sequence was used to fit the absolute proton free induction decay averaged over a region of interest to determine the T 2 * of water and fat signals. Results: The measured T 2 * values of tumor and muscle are similar ($15 ms), and almost twice that of lymph nodes ($8 ms). There was a statistically significant difference (p < 0.03) between T 2 * in normal mammary tissue (13.7 6 2.9 ms) and intraductal cancers (11 6 2.0 ms) when a fat suppression pulse was applied. Conclusions: These are the first reported T 2 * measurements from single mammary ducts. The results demonstrated that T 2 * measurements may have utility for identifying early pre-invasive cancers in mouse models. This may inspire similar research for patients using T 2 * for diagnostic imaging of early breast cancer.

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The effect of varying spectral resolution on the quality of high spectral and spatial resolution magnetic resonance images of the breast

Cited by 21 publications

References 41 publications

Comparison of high‐resolution echo‐planar spectroscopic imaging with conventional MR imaging of prostate tumors in mice

Comparison of high‐resolution echo‐planar spectroscopic imaging with conventional MR imaging of prostate tumors in mice

Breast density estimation from high spectral and spatial resolution MRI

T₂* relaxation times of intraductal murine mammary cancer, invasive mammary cancer, and normal mammary gland

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The effect of varying spectral resolution on the quality of high spectral and spatial resolution magnetic resonance images of the breast

Cited by 21 publications

References 41 publications

Comparison of high‐resolution echo‐planar spectroscopic imaging with conventional MR imaging of prostate tumors in mice

Comparison of high‐resolution echo‐planar spectroscopic imaging with conventional MR imaging of prostate tumors in mice

Breast density estimation from high spectral and spatial resolution MRI

T2* relaxation times of intraductal murine mammary cancer, invasive mammary cancer, and normal mammary gland

Contact Info

Product

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T₂* relaxation times of intraductal murine mammary cancer, invasive mammary cancer, and normal mammary gland