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Breast cancer, MRI, image registration

Mohammed El Adoui, Stylianos Drisis, Mohammed Benjelloun
PURPOSE: This study aims to provide and optimize a performing algorithm for predicting the breast cancer response rate to the first round of chemotherapy using Magnetic Resonance Imaging (MRI). This provides an early recognition of breast tumor reaction to chemotherapy by using the Parametric Response Map (PRM) method. METHODS: PRM may predict the breast cancer response to chemotherapy by analyzing voxel-by-voxel temporal intra-tumor changes during one round of chemotherapy...
May 22, 2018: International Journal of Computer Assisted Radiology and Surgery
Zhuxian Zhou, Mohammed Qutaish, Zheng Han, Rebecca M Schur, Yiqiao Liu, David L Wilson, Zheng-Rong Lu
Metastasis is the primary cause of death in breast cancer patients. Early detection of high-risk breast cancer, including micrometastasis, is critical in tailoring appropriate and effective interventional therapies. Increased fibronectin expression, a hallmark of epithelial-to-mesenchymal transition, is associated with high-risk breast cancer and metastasis. We have previously developed a penta-peptide CREKA (Cys-Arg-Glu-Lys-Ala)-targeted gadolinium-based magnetic resonance imaging (MRI) contrast agent, CREKA-Tris(Gd-DOTA)3 (Gd-DOTA (4,7,10-tris(carboxymethyl)-1,4,7,10-tetraazacyclododecyl gadolinium), which binds to fibrin-fibronectin complexes that are abundant in the tumour microenvironment of fast-growing breast cancer...
2015: Nature Communications
J Adamson, Z Chang, J Cai, M Palta, J Horton, F Yin, R Blitzblau
PURPOSE: To develop a robust MRI sequence to measure BOLD breath hold induced contrast in context of breast radiotherapy. METHODS: Two sequences were selected from prior studies as candidates to measure BOLD contrast attributable to breath holding within the breast: (1) T2* based Gradient Echo EPI (TR/TE = 500/41ms, flip angle = 60°), and (2) T2 based Single Shot Fast Spin Echo (SSFSE) (TR/TE = 3000/60ms). We enrolled ten women post-lumpectomy for breast cancer who were undergoing treatment planning for whole breast radiotherapy...
June 2015: Medical Physics
Rebekah H Conley, Ingrid M Meszoely, Jared A Weis, Thomas S Pheiffer, Lori R Arlinghaus, Thomas E Yankeelov, Michael I Miga
PURPOSE: Unfortunately, the current re-excision rates for breast conserving surgeries due to positive margins average 20-40 %. The high re-excision rates arise from difficulty in localizing tumor boundaries intraoperatively and lack of real-time information on the presence of residual disease. The work presented here introduces the use of supine magnetic resonance (MR) images, digitization technology, and biomechanical models to investigate the capability of using an image guidance system to localize tumors intraoperatively...
December 2015: International Journal of Computer Assisted Radiology and Surgery
Shih-Neng Yang, Fang-Jing Li, Yen-Hsiu Liao, Yueh-Sheng Chen, Wu-Chung Shen, Tzung-Chi Huang
OBJECTIVES: Integration of information from corresponding regions between the breast MRI and an X-ray mammogram could benefit the detection of breast cancer in clinical diagnosis. We aimed to provide a framework of registration from breast MRI to mammography and to evaluate the diagnosis using the combined information. MATERIALS AND METHODS: 43 patients with 46 lesions underwent both MRI and mammography scans, and the interval between the two examinations was around one month...
2015: PloS One
J A Solves-Llorens, M J Rupérez, C Monserrat, E Feliu, M García, M Lloret
PURPOSE: This work presents a complete and automatic software application to aid radiologists in breast cancer diagnosis. The application is a fully automated method that performs a complete registration of magnetic resonance (MR) images and x-ray (XR) images in both directions (from MR to XR and from XR to MR) and for both x-ray mammograms, craniocaudal (CC), and mediolateral oblique (MLO). This new approximation allows radiologists to mark points in the MR images and, without any manual intervention, it provides their corresponding points in both types of XR mammograms and vice versa...
August 2014: Medical Physics
Nkiruka C Atuegwu, Xia Li, Lori R Arlinghaus, Richard G Abramson, Jason M Williams, A Bapsi Chakravarthy, Vandana G Abramson, Thomas E Yankeelov
PURPOSE: The authors propose a method whereby serially acquired DCE-MRI, DW-MRI, and FDG-PET breast data sets can be spatially and temporally coregistered to enable the comparison of changes in parameter maps at the voxel level. METHODS: First, the authors aligned the PET and MR images at each time point rigidly and nonrigidly. To register the MR images longitudinally, the authors extended a nonrigid registration algorithm by including a tumor volume-preserving constraint in the cost function...
May 2014: Medical Physics
Jennifer L Boes, Benjamin A Hoff, Nola Hylton, Martin D Pickles, Lindsay W Turnbull, Anne F Schott, Alnawaz Rehemtulla, Ryan Chamberlain, Benjamin Lemasson, Thomas L Chenevert, Craig J Galbán, Charles R Meyer, Brian D Ross
Imaging biomarkers capable of early quantification of tumor response to therapy would provide an opportunity to individualize patient care. Image registration of longitudinal scans provides a method of detecting treatment associated changes within heterogeneous tumors by monitoring alterations in the quantitative value of individual voxels over time, which is unattainable by traditional volumetric-based histogram methods. The concepts involved in the use of image registration for tracking and quantifying breast cancer treatment response using parametric response mapping (PRM), a voxel-based analysis of diffusion-weighted magnetic resonance imaging (DW-MRI) scans, are presented...
February 2014: Translational Oncology
Xia Li, Hakmook Kang, Lori R Arlinghaus, Richard G Abramson, A Bapsi Chakravarthy, Vandana G Abramson, Jaime Farley, Melinda Sanders, Thomas E Yankeelov
The purpose of this study is to investigate the ability of multivariate analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted MRI (DW-MRI) parametric maps, obtained early in the course of therapy, to predict which patients will achieve pathologic complete response (pCR) at the time of surgery. Thirty-three patients underwent DCE-MRI (to estimate K (trans), v e, k ep, and v p) and DW-MRI [to estimate the apparent diffusion coefficient (ADC)] at baseline (t 1) and after the first cycle of neoadjuvant chemotherapy (t 2)...
February 2014: Translational Oncology
Lianghao Han, John H Hipwell, Björn Eiben, Dean Barratt, Marc Modat, Sebastien Ourselin, David J Hawkes
Preoperative diagnostic magnetic resonance (MR) breast images can provide good contrast between different tissues and 3-D information about suspicious tissues. Aligning preoperative diagnostic MR images with a patient in the theatre during breast conserving surgery could assist surgeons in achieving the complete excision of cancer with sufficient margins. Typically, preoperative diagnostic MR breast images of a patient are obtained in the prone position, while surgery is performed in the supine position. The significant shape change of breasts between these two positions due to gravity loading, external forces and related constraints makes the alignment task extremely difficult...
March 2014: IEEE Transactions on Medical Imaging
Erin H Seeley, Kevin J Wilson, Thomas E Yankeelov, Rachelle W Johnson, John C Gore, Richard M Caprioli, Lynn M Matrisian, Julie A Sterling
Bone metastases are a clinically significant problem that arises in approximately 70% of metastatic breast cancer patients. Once established in the bone, tumor cells induce changes in the bone microenvironment that lead to bone destruction, pain, and significant morbidity. While much is known about the later stages of bone disease, less is known about the earlier stages or the changes in protein expression in the tumor micro-environment. Due to promising results of combining magnetic resonance imaging (MRI) and Matrix-Assisted Laser Desorption/Ionization Imaging Mass Spectrometry (MALDI IMS) ion images in the brain, we developed methods for applying these modalities to models of tumor-induced bone disease in order to better understand the changes in protein expression that occur within the tumor-bone microenvironment...
April 2014: Bone
Julia Krüger, Jan Ehrhardt, Arpad Bischof, Heinz Handels
PURPOSE: Multimodality mammography using conventional 2D mammography and dynamic contrast-enhanced 3D magnetic resonance imaging (DCE-MRI) is frequently performed for breast cancer detection and diagnosis. Combination of both imaging modalities requires superimposition of corresponding structures in mammograms and MR images. This task is challenging due to large differences in (1) dimensionality and spatial resolution, (2) variations in tissue contrast, as well as (3) differences in breast orientation and deformation during the image acquisition...
May 2014: International Journal of Computer Assisted Radiology and Surgery
Byung-Woo Hong
We propose a mathematical framework for simultaneously delineating the boundary of object and estimating its temporal motion in the application of lesion detection in a dynamic contrast-enhanced (DCE) breast MRI sequence where both the appearance and the shape of region of interest is assumed to change in time. A unified energy functional for a joint segmentation and registration is proposed based on the assumption that the statistical properties of dynamic intensity curves within a region of interest are homogeneous...
November 7, 2013: Physics in Medicine and Biology
Carolina Wessel, Julia A Schnabel, Michael Brady
We develop a large deformations, Finite Elements biomechanical model of a stellate breast tumour, subject to prone to supine (MRI to US) breast deformations. Based on clinical findings, we introduce a volume of increased mammographic density/stiffness around a spiculated tumour, as well as a range of reported mechanical properties, both linear elastic and hyperelastic. This novel model demonstrates that these have a non-negligible effect on stresses and displacements, which, in turn, have implications, for example, in breast registration...
2013: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Philipp Matthies, Asli Okur, Thomas Wendler, Nassir Navab, Michael Friebe
Nowadays for clinical applications such as sentinel lymph node biopsy in breast or prostate cancer, only pre-operative image data is used for navigation, i.e. CT, SPECT/CT or PET/CT. Freehand SPECT and freehand PET provide intra-operative functional imaging techniques that can be complemented with pre- and intra-operative MR imaging to allow for better planning, navigation and guidance. In this paper we propose a method to enable navigation based on pre- or intra-operatively acquired MR images. A fully MR compatible phantom and a dedicated MR compatible optical tracking target with MR markers is built for this study...
2013: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Angela W C Lee, Vijayaraghavan Rajagopal, Thiranja P Babarenda Gamage, Anthony J Doyle, Poul M F Nielsen, Martyn P Nash
This paper presents a novel X-ray and MR image registration technique based on individual-specific biomechanical finite element (FE) models of the breasts. Information from 3D magnetic resonance (MR) images was registered to X-ray mammographic images using non-linear FE models subject to contact mechanics constraints to simulate the large compressive deformations between the two imaging modalities. A physics-based perspective ray-casting algorithm was used to generate 2D pseudo-X-ray projections of the FE-warped 3D MR images...
December 2013: Medical Image Analysis
Maryellen L Giger, Nico Karssemeijer, Julia A Schnabel
The role of breast image analysis in radiologists' interpretation tasks in cancer risk assessment, detection, diagnosis, and treatment continues to expand. Breast image analysis methods include segmentation, feature extraction techniques, classifier design, biomechanical modeling, image registration, motion correction, and rigorous methods of evaluation. We present a review of the current status of these task-based image analysis methods, which are being developed for the various image acquisition modalities of mammography, tomosynthesis, computed tomography, ultrasound, and magnetic resonance imaging...
2013: Annual Review of Biomedical Engineering
Paul C Pearlman, Arthur Adams, Sjoerd G Elias, Willem P Th M Mali, Max A Viergever, Josien P W Pluim
Optical breast imaging offers the possibility of noninvasive, low cost, and high sensitivity imaging of breast cancers. Poor spatial resolution and a lack of anatomical landmarks in optical images of the breast make interpretation difficult and motivate registration and fusion of these data with subsequent optical images and other breast imaging modalities. Methods used for registration and fusion of optical breast images are reviewed. Imaging concerns relevant to the registration problem are first highlighted, followed by a focus on both monomodal and multimodal registration of optical breast imaging...
August 2012: Journal of Biomedical Optics
C Andrés Méndez, Francesca Pizzorni Ferrarese, Paul Summers, Giuseppe Petralia, Gloria Menegaz
In order to better predict and follow treatment responses in cancer patients, there is growing interest in noninvasively characterizing tumor heterogeneity based on MR images possessing different contrast and quantitative information. This requires mechanisms for integrating such data and reducing the data dimensionality to levels amenable to interpretation by human readers. Here we propose a two-step pipeline for integrating diffusion and perfusion MRI that we demonstrate in the quantification of breast lesion heterogeneity...
2012: International Journal of Biomedical Imaging
Yi Wang, Glen Morrell, Marta E Heibrun, Allison Payne, Dennis L Parker
RATIONALE AND OBJECTIVES: The goal of the study is to develop a technique to achieve accurate volumetric breast tissue segmentation using magnetic resonance imaging (MRI) data. This segmentation can be useful to aid in the diagnosis of breast cancers and to assess breast cancer risk based on breast density. Tissue segmentation is also essential for development of acoustic and thermal models used in magnetic resonance guided high-intensity focused ultrasound treatment of breast lesions...
February 2013: Academic Radiology
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