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Breast cancer, imaging processing, image registration

Zhao Ma, Wei Zhang, Yi Su, Peiji Liu, Yinghua Pan, Gang Zhang, Yipeng Song
Background: The Optical Surface Management System (OSMS) is a simple, fast, reproducible, and accurate solution for patient set-up and can minimize random day-to-day set-up errors. However, studies in breast cancer patients are rare. Objective: To analyze 200 patient set-ups in 20 patients with breast cancer by comparing the OSMS with the conventional cone-beam computed tomography (CBCT). Method: Displacements from concurrent OSMS and CBCT registrations were compared in a total of 200 setups of 20 patients to analyze the interfractional displacement and positioning displacement in three dimensions (lateral, longitudinal, and vertical directions)...
2018: BioMed Research International
João Otávio Bandeira Diniz, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
BACKGROUND AND OBJECTIVE: The processing of medical image is an important tool to assist in minimizing the degree of uncertainty of the specialist, while providing specialists with an additional source of detect and diagnosis information. Breast cancer is the most common type of cancer that affects the female population around the world. It is also the most deadly type of cancer among women. It is the second most common type of cancer among all others. The most common examination to diagnose breast cancer early is mammography...
March 2018: Computer Methods and Programs in Biomedicine
Chia-Yen Lee, Hao-Jen Wang, Jhih-Hao Lai, Yeun-Chung Chang, Chiun-Sheng Huang
Long-term comparisons of infrared image can facilitate the assessment of breast cancer tissue growth and early tumor detection, in which longitudinal infrared image registration is a necessary step. However, it is hard to keep markers attached on a body surface for weeks, and rather difficult to detect anatomic fiducial markers and match them in the infrared image during registration process. The proposed study, automatic longitudinal infrared registration algorithm, develops an automatic vascular intersection detection method and establishes feature descriptors by shape context to achieve robust matching, as well as to obtain control points for the deformation model...
February 1, 2017: Scientific Reports
Nicholas Trahearn, Yee Wah Tsang, Ian A Cree, David Snead, David Epstein, Nasir Rajpoot
Automation of downstream analysis may offer many potential benefits to routine histopathology. One area of interest for automation is in the scoring of multiple immunohistochemical markers to predict the patient's response to targeted therapies. Automated serial slide analysis of this kind requires robust registration to identify common tissue regions across sections. We present an automated method for co-localized scoring of Estrogen Receptor and Progesterone Receptor (ER/PR) in breast cancer core biopsies using whole slide images...
December 23, 2016: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
Matthew R Lowerison, M Nicole Hague, Ann F Chambers, James C Lacefield
The linear subtraction methods commonly used for preclinical contrast-enhanced imaging are susceptible to registration errors and motion artifacts that lead to reduced contrast-to-tissue ratios. To address this limitation, a new approach to linear contrast-enhanced ultrasound (CEUS) is proposed based on the analysis of the temporal dynamics of the speckle statistics during wash-in of a bolus injection of microbubbles. In the proposed method, the speckle signal is approximated as a mixture of temporally varying random processes, representing the microbubble signal, superimposed onto spatially heterogeneous tissue backscatter in multiple subvolumes within the region of interest...
September 2016: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Q Huang, M Zhang, N Yue, T Chen
PURPOSE: In room kilovoltage x-ray (kV) imaging provides higher contrast than Megavoltage (MV) imaging with faster acquisition time compared with on-board cone-beam computed tomography (CBCT), thus improving patient setup accuracy and efficiency. In this study we evaluated the clinical feasibility of utilizing kV imaging for whole breast radiation patient setup. METHODS: For six breast cancer patients with whole breast treatment plans using two opposed tangential fields, MV-based patient setup was conducted by aligning patient markers with in room lasers and MV portal images...
June 2015: Medical Physics
M Milagro Fernández-Carrobles, Gloria Bueno, Oscar Déniz, Jesús Salido, Marcial García-Rojo, Lucía González-López
Breast cancer is the most common type of cancer and the fifth leading cause of death in women over 40. Therefore, prompt diagnostic and treatment is essential. In this work a TMA Computer Aided Diagnosis (CAD) system has been implemented to provide support to pathologists in their daily work. For that purpose, the tool covers each and every process from the TMA core image acquisition to their individual classification. The first process includes: tissue core location, segmentation and rigid registration of digital microscopic images acquired at different magnifications (5x, 10x, 20x, 20x and 40x) from different devices...
2015: Studies in Health Technology and Informatics
Antonio Ruiz, Manuel Ujaldon, Lee Cooper, Kun Huang
Microscopic imaging is an important tool for characterizing tissue morphology and pathology. 3D reconstruction and visualization of large sample tissue structure requires registration of large sets of high-resolution images. However, the scale of this problem presents a challenge for automatic registration methods. In this paper we present a novel method for efficient automatic registration using graphics processing units (GPUs) and parallel programming. Comparing a C++ CPU implementation with Compute Unified Device Architecture (CUDA) libraries and pthreads running on GPU we achieve a speed-up factor of up to 4...
April 1, 2009: Journal of Signal Processing Systems
Samantha G Price, Alexander A Silvius, Enrique W Izaguirre
Image guided conformal small animal orthovoltage microirradiators are currently under development to perform radiobiological experiments with preclinical cancer models. An important component of these instruments is the treatment delivery image guidance system, a microelectronic portal imaging device (μEPID). Here, we present the design and implementation of a μEPID, specifically designed and constructed for small animal orthovoltage microirradiators. The μEPID can acquire images in the range of 60 kVp to 320 kVp x-ray photon energies and can endure high doses from orthovoltage beams without radiation damage...
2014: Journal of X-ray Science and Technology
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
Jonathan Santos, Abhijit J Chaudhari, Anand A Joshi, Andrea Ferrero, Kai Yang, John M Boone, Ramsey D Badawi
RATIONALE AND OBJECTIVES: Dedicated breast CT and PET/CT scanners provide detailed 3D anatomical and functional imaging data sets and are currently being investigated for applications in breast cancer management such as diagnosis, monitoring response to therapy and radiation therapy planning. Our objective was to evaluate the performance of the diffeomorphic demons (DD) non-rigid image registration method to spatially align 3D serial (pre- and post-contrast) dedicated breast computed tomography (CT), and longitudinally-acquired dedicated 3D breast CT and positron emission tomography (PET)/CT images...
September 2014: Physica Medica: PM
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
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
Andrea Fränzle, Maren Bretschi, Tobias Bäuerle, Kristina Giske, Jens Hillengass, Rolf Bendl
PURPOSE: Most of the patients who died of breast cancer have developed bone metastases. To understand the pathogenesis of bone metastases and to analyze treatment response of different bone remodeling therapies, preclinical animal models are examined. In breast cancer, bone metastases are often bone destructive. To assess treatment response of bone remodeling therapies, the volumes of these lesions have to be determined during the therapy process. The manual delineation of missing structures, especially if large parts are missing, is very time-consuming and not reproducible...
December 2013: Medical Physics
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
Michael J Gerdes, Christopher J Sevinsky, Anup Sood, Sudeshna Adak, Musodiq O Bello, Alexander Bordwell, Ali Can, Alex Corwin, Sean Dinn, Robert J Filkins, Denise Hollman, Vidya Kamath, Sireesha Kaanumalle, Kevin Kenny, Melinda Larsen, Michael Lazare, Qing Li, Christina Lowes, Colin C McCulloch, Elizabeth McDonough, Michael C Montalto, Zhengyu Pang, Jens Rittscher, Alberto Santamaria-Pang, Brion D Sarachan, Maximilian L Seel, Antti Seppo, Kashan Shaikh, Yunxia Sui, Jingyu Zhang, Fiona Ginty
Limitations on the number of unique protein and DNA molecules that can be characterized microscopically in a single tissue specimen impede advances in understanding the biological basis of health and disease. Here we present a multiplexed fluorescence microscopy method (MxIF) for quantitative, single-cell, and subcellular characterization of multiple analytes in formalin-fixed paraffin-embedded tissue. Chemical inactivation of fluorescent dyes after each image acquisition round allows reuse of common dyes in iterative staining and imaging cycles...
July 16, 2013: Proceedings of the National Academy of Sciences of the United States of America
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
Yu Sun Lee, Kyoung Ju Kim, Seung Do Ahn, Eun Kyung Choi, Jong Hoon Kim, Sang-Wook Lee, Si Yeol Song, Sang Min Yoon, Young Seok Kim, Jin-Hong Park, Byung Chul Cho, Su Ssan Kim
BACKGROUND: To evaluate the utility of the preoperative PET-CT using deformable image registration (DIR) in the treatment of patients with locally advanced breast cancer and to find appropriate radiotherapy technique for further adequate treatment of axillary nodal area. METHODS: Sixty-five breast cancer patients who had level II, III axillary or supraclavicular lymph node metastasis on ¹⁸F-FDG PET-CT and received postoperative radiotherapy after modified radical mastectomy were enrolled...
2013: Radiation Oncology
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
Lu Jiang, Tiffany R Greenwood, Erika R Amstalden van Hove, Kamila Chughtai, Venu Raman, Paul T Winnard, Ron M A Heeren, Dmitri Artemov, Kristine Glunde
Applications of molecular imaging in cancer and other diseases frequently require the combination of in vivo imaging modalities, such as MR and optical imaging, with ex vivo optical, fluorescence, histology and immunohistochemical imaging to investigate and relate molecular and biological processes to imaging parameters within the same region of interest. We have developed a multimodal image reconstruction and fusion framework that accurately combines in vivo MRI and MRSI, ex vivo brightfield and fluorescence microscopic imaging and ex vivo histology imaging...
March 2013: NMR in Biomedicine
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