TRADITIONAL POSTER - ismrm

Poster Sessions
2484. Preliminary Results of a Physical Phantom for Quantitative Assessment of Breast MRI
Melanie Freed 1,2 , Jacco A. de Zwart 3 , Jennifer T. Loud 4 , Riham H. El Khouli 5 , Mark H. Greene 4 , Brandon
D. Gallas 1 , Kyle J. Myers 1 , Jeff H. Duyn 3 , David A. Bluemke 5 , Aldo Badano 1
1 CDRH/OSEL/DIAM, FDA, Silver Spring, MD, United States; 2 Department of Bioengineering, University of Maryland, College
Park, MD, United States; 3 NINDS/LFMI/Advanced MRI Section, National Institutes of Health, Bethesda, MD, United States;
4 NCI/Clinical Genetics Branch, National Institutes of Health, Rockville, MD, United States; 5 Department of Radiology and Imaging
Sciences, National Institutes of Health, Bethesda, MD, United States
We are developing a physical, tissue-mimicking phantom to be used for task-based, quantitative assessment of breast MRI protocols. Here we present initial
results of the phantom characterization and comparison to human data. Measured T1 and T2 relaxation values of the adipose- and glandular-mimicking
phantom components agree with human values from the literature. The structure of human and phantom images is compared using the covariance kernel and
found to match within patient variation.
2485. DSC MR-Mammography: Tumor Characterization Using Quantitative R2* Analysis
Endre Grøvik 1 , Kathinka Kurz Dæhli 2 , Atle Bjørnerud 3 , Kjell-Inge Gjesdal 4
1 University of Oslo, Oslo, Norway; 2 Stavanger University Hospital, Stavanger, Norway; 3 Rikshospitalet University Hospital, Oslo,
Norway; 4 Sunnmøre MR-klinikk, Aalesund, Norway
This work presents the transverse relaxation rate, R2*, as a quantitative biomarker for distinguishing between malignant and benign breast lesions. R2* was
estimated on a pixel-by-pixel basis by assuming a mono-exponential dependence of a double-echo intensity scheme, yielding from a high temporal
resolution sequence. The study suggested that the peak change in the transverse relaxation rate is a sensitive biomarker for tumor malignancy in DSC MRmammography.
2486. Simulation of Breast Tumor Growth from In-Situ to Invasive Cancer Using a Mathematical Model to
Correlate with Lesion Phenotypes Shown on MRI
Ke Nie 1 , Jeon-Hor Chen 1,2 , Orhan Nalcioglu 1 , Min-Ying Lydia Su 1
1 Tu & Yuen Center for Functional Onco-Imaging, University of California, Irvine, Irvine, CA, United States; 2 Department of
Radiology, China Medical University, Taichung, Taiwan
Mathematical modeling provides a unique means to simulate different cancer growth patterns. However, the current published models included only
functional information, few of them considered the effect of environmental structure. In this study, we simulated the breast tumor growth in the duct by
coupling tumor growth and duct wall deformation. By varying the key parameters, we could identify key mechanisms for DCIS to progress to invasive
cancer. The simulation result is further correlated with the lesion phenotype shown on MRI. Understanding these biological growth patterns of DCIS may be
further used to refine diagnostic criteria.
2487. MRI Detection of Small Calcium Crystals in Air Bubble-Free Agarose Phantoms: Potential
Applications to Imaging Microcalcifications in Breast Cancer
Bo Elizabeth Peng 1 , Sean Foxley 2 , Jeremy Palgen 1 , Robin Holmes 2 , Elizabeth Hipp 2 , Gillian Newstead 2 ,
Gregory S. Karczmar 2 , Devkumar Mustafi 1,2
1 Biochemistry & Molecular Biology, The University of Chicago, Chicago, IL, United States; 2 Radiology, The University of Chicago,
Chicago, IL, United States
We tested several MRI methods for the identification and characterization of small calcium crystals for probing microcalcifications in breast cancer. Highresolution
MR images were acquired of small Ca-crystals imbedded in air bubble-free agarose phantoms in clinical and research magnets. Two types of Cacrystals
that are commonly associated with benign and malignant breast lesions, are clearly detectable and distinguishable by MRI, but not distinguishable
on x-ray mammograms. The present results lend support to the feasibility of clinical visualization and analysis of microcalcifications by MRI. Detection of
microcalcifications by MRI would increase sensitivity and specificity for breast cancer detection.
2488. Microcalcification Detection Using Susceptibility Weighted Phase Imaging: Cross-Correlation and
Relative Magnetic Susceptibility Difference Methods
Richard Baheza 1 , Brian Welch 2 , John Gore 3 , Thomas Yankeelov 3
1 Biomedical Engineering, Vanderbilt, Nashville, TN, United States; 2 Philips Healthcare; 3 Institute of Imag Science and Dep of
Radiology Sciences, Vanderbilt, Nashville, TN, United States
The possibility of detecting calcium deposits in breast has been investigated by simulation and experimentally. Susceptibility weighted imaging is used to
simulate and measure signature due to magnetic susceptibility difference between calcium and water in tissue. Simulated and experimental data with
different levels of signal to noise ratio (SNR) and resolution are analyzed by two methods. Crosscorrelation between simulated phase and data, and the
relative magnetic susceptibility difference map, computed directly from data. Both methods are compared to locate 1mm object induced signature. Results
suggest SNR≥20 and voxel size ≤ 0.25 mm (isotropic) are needed for both methods to work.
2489. Detection of Breast Micro-Calcifications with MRI at 3T:
Riham Hossam El Din El Khouli 1 , David Thomasson 1 , Katarzyna Macura 2 , Sarah Mezban 2 , wei Liu 3 ,
Michael Jacobs 2 , Richard Edden 4 , Peter Barker 2 , David Bluemke 1
1 Radiology and Imaging Sciences, NIH/Clinical Center, Bethesda, MD, United States; 2 Radiology and Radiological Sciences, Johns
Hopkins University School of Medicine; 3 NIH/NCI; 4 Cardiff University
Micro-calcifications (< 1 mm) are a fundamental marker of breast cancer by x-ray mammography, especially for the early diagnosis of ductal carcinoma in
situ (DCIS). However with MRI, micro-calcifications are rarely detected using standard pulse sequences. The purpose of this study was to optimize MRI
approaches for detecting micro-calcifications in the breast in comparison to mammography and conventional MRI. We achieved high spatial resolution and