المؤلفون: Molloi, Sabee, Ducote, Justin L, Ding, Huanjun, Feig, Stephen A

المصدر: Medical physics. 41(8)

مصطلحات موضوعية: Mammary Glands, Human, Humans, Breast Neoplasms, Mammography, Organ Size, Calibration, Linear Models, Phantoms, Imaging, Algorithms, Fuzzy Logic, Female, Breast Density, Mass and density, Cancer, Logic and set theory, Segmentation, biochemistry, biological organs, cancer, density measurement, fuzzy set theory, image segmentation, mammography, medical image processing, phantoms, breast density, dual energy, breast imaging, Biochemistry, Beer, Spirits, Wine, Vinegar, Microbiology, Enzymology, Mutation or genetic engineering, Investigating density or specific gravity of materials, Analysing materials by determining density or specific gravity, Biological material, e.g. blood, urine, Haemocytometers, Digital computing or data processing equipment or methods, specially adapted for specific applications, Image data processing or generation, in general, Density measurement, Chemical analysis, Proteins, Lipids, Radiologists, Medical X-ray imaging, Mammary Glands, Human, Phantoms, Imaging, Biochemistry, Beer, Spirits, Wine, Vinegar, Microbiology, Enzymology, Mutation or genetic engineering, Investigating density or specific gravity of materials, Analysing materials by determining density or specific gravity, Biological material, e.g. blood, urine, Haemocytometers, Digital computing or data processing equipment or methods, specially adapted for specific applications, Image data processing or generation, in general, Breast Cancer, Biomedical Imaging, Prevention, 4.2 Evaluation of markers and technologies, Nuclear Medicine & Medical Imaging, Other Physical Sciences, Biomedical Engineering, Oncology and Carcinogenesis

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/9wj7q5bgTest

المؤلفون: O'Shea, Tuathan P., Bamber, Jeffrey C., Harris, Emma J.

المصدر: Medical Physics

مصطلحات موضوعية: Movement, Ultrasonic transducers, image matching, Analysis of motion, liver, Image data processing or generation, in general, medical image processing, radiation therapy, biomedical ultrasonics, Digital computing or data processing equipment or methods, specially adapted for specific applications, blood vessels, motion estimation, Therapeutic Interventions, Speckle, motion, Image Processing, Computer-Assisted, Humans, Diagnosis using ultrasonic, sonic or infrasonic waves, Research Articles, Ultrasonography, correlation methods, linear accelerators, Biological material, e.g. blood, urine, Haemocytometers, Image guided radiation therapy, ultrasound, image sequences, Sequence analysis, tracking, Image scanners, Healthy Volunteers, Treatment strategy, Transducer arrays, filtering theory, biological tissues, Radiotherapy, Image-Guided

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=pmid________::576e2d048700bdfcc81a272e20978702Test
http://europepmc.org/articles/PMC5366873Test

المؤلفون: Guo, Junfeng, Wang, Chao, Chan, Kung‐sik, Jin, Dakai, Saha, Punam K., Sieren, Jered P., Barr, R. G., Han, MeiLan K., Kazerooni, Ella, Cooper, Christopher B., Couper, David, Newell, John D., Hoffman, Eric A.

المساهمون: Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109, Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan 48109, Department of Statistics and Actuarial Science, University of Iowa, Iowa City, Iowa 52242, Departments of Radiology and Biomedical Engineering, University of Iowa, Iowa City, Iowa 52242, Department of Medicine, University of California, Los Angeles, California 90095, Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599, Departments of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City, Iowa 52242, Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242, Department of Radiology, University of Iowa, Iowa City, Iowa 52242, Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, New York 10032

مصطلحات موضوعية: Computed tomography, air, bubbles, computerised tomography, lung, medical image processing, object detection, pneumodynamics, statistical analysis, Pneumodyamics, respiration, Computerised tomographs, Biological material, e.g. blood, urine, Haemocytometers, Digital computing or data processing equipment or methods, specially adapted for specific applications, Image data processing or generation, in general, quantitative CT, quality control, phantom, lung imaging, SPIROMICS, Water vapor, Image scanners, Density measurement, Lungs, Modulation transfer functions

وصف الملف: application/pdf

العلاقة: Guo, Junfeng; Wang, Chao; Chan, Kung‐sik; Jin, Dakai; Saha, Punam K.; Sieren, Jered P.; Barr, R. G.; Han, MeiLan K.; Kazerooni, Ella; Cooper, Christopher B.; Couper, David; Newell, John D.; Hoffman, Eric A. (2016). "A controlled statistical study to assess measurement variability as a function of test object position and configuration for automated surveillance in a multicenter longitudinal COPD study (SPIROMICS)." Medical Physics 43(5): 2598-2610.; https://hdl.handle.net/2027.42/134827Test; Medical Physics; D. Jin, J. Guo, T. M. Dougherty, K. S. Iyer, E. A. Hoffman, and P. K. Saha, â A semiâ automatic framework of measuring pulmonary arterial metrics at anatomic airway locations using CT imaging,â Proc. SPIE 9788, 978816 ( 2016 ). 10.1117/12.2216558; D. Jin, K. Iyer, E. Hoffman, and P. Saha, â Automated assessment of pulmonary arterial morphology in multiâ row detector CT imaging using correspondence with anatomic airway branches,â in Advances in Visual Computing, edited by G. Bebis et al. ( Springer International, Cham, Switzerland, 2014 ), Vol. 8887, pp. 521 â 530.; S. N. Wood, Generalized Additive Models: An Introduction with r ( Chapman & Hall/CRC, Boca Raton, FL, 2006 ).; J. C. Pinheiro and D. M. Bates, Mixedâ Effects Models in S and Sâ PLUS ( Springer, New York, NY, 2000 ).; D. Couper, L. M. LaVange, M. Han, R. G. Barr, E. Bleecker, E. A. Hoffman, R. Kanner, E. Kleerup, F. J. Martinez, P. G. Woodruff, and S. Rennard, â Design of the subpopulations and intermediate outcomes in COPD study (SPIROMICS),â Thorax 69, 491 â 494 ( 2014 ). 10.1136/thoraxjnlâ 2013â 203897; J. P. Sieren, J. D. Newell, P. F. Judy, D. A. Lynch, K. S. Chan, J. Guo, and E. A. Hoffman, â Reference standard and statistical model for intersite and temporal comparisons of CT attenuation in a multicenter quantitative lung study,â Med. Phys. 39, 5757 â 5767 ( 2012 ). 10.1118/1.4747342; A. Rosenfeld and J. L. Pfaltz, â Sequential operations in digital picture processing,â J. ACM 13, 471 â 494 ( 1966 ). 10.1145/321356.321357; A. W. Van der Vaart, Asymptotic Statistics ( Cambridge University Press, Cambridge, England, 2000 ).; D. Gruber, â The mathematics of the 3D rotation matrix,â in Xtreme Game Developers Conference, Santa Clara, CA ( 2000 ).; M. E. Pique, â Rotation tools,â in Graphics Gems, edited by A. S. Glassner ( Academic Inc., Cambridge, MA, 1990 ), pp. 465 â 469.; S. Richard, D. B. Husarik, G. Yadava, S. N. Murphy, and E. Samei, â Towards taskâ based assessment of CT performance: System and object MTF across different reconstruction algorithms,â Med. Phys. 39, 4115 â 4122 ( 2012 ). 10.1118/1.4725171; S. N. Friedman, G. S. Fung, J. H. Siewerdsen, and B. M. Tsui, â A simple approach to measure computed tomography (CT) modulation transfer function (MTF) and noiseâ power spectrum (NPS) using the American College of Radiology (ACR) accreditation phantom,â Med. Phys. 40, 051907 (9pp.) ( 2013 ). 10.1118/1.4800795; N. D. Dâ Souza, J. M. Reinhardt, and E. A. Hoffman, â ASAP: Interactive quantification of 2D airway geometry,â Proc. SPIE 2709, 180 â 196 ( 1996 ). 10.1117/12.237860

الإتاحة: https://doi.org/10.1118/1.4947303Test
https://doi.org/10.1136/thoraxjnlTestâ
https://hdl.handle.net/2027.42/134827Test

المؤلفون: Zhou, Chuan, Chan, Heang‐ping, Hadjiiski, Lubomir M., Chughtai, Aamer, Wei, Jun, Kazerooni, Ella A.

المساهمون: Department of Radiology, The University of Michigan, Ann Arbor, Michigan 48109â 0904

مصطلحات موضوعية: Data sets, angiocardiography, blood vessels, cardiovascular system, computerised tomography, diseases, feature extraction, feature selection, image classification, image enhancement, image matching, image registration, image segmentation, medical image processing, optimisation, Computed tomography, Cardiac dynamics, Angiography, Registration, Segmentation, Edge enhancement, Computerised tomographs, Biological material, e.g. blood, urine, Haemocytometers, Digital computing or data processing equipment or methods, specially adapted for specific applications, Image data processing or generation, in general

وصف الملف: application/pdf

العلاقة: Zhou, Chuan; Chan, Heang‐ping; Hadjiiski, Lubomir M.; Chughtai, Aamer; Wei, Jun; Kazerooni, Ella A. (2016). "Coronary artery analysis: Computerâ assisted selection of bestâ quality segments in multipleâ phase coronary CT angiography." Medical Physics 43(10): 5268-5278.; https://hdl.handle.net/2027.42/135134Test; Medical Physics; M. S. Kramer and A. R. Feinstein, â Clinical biostatistics: LIV. The biostatistics of concordance,â Clin. Pharmacol. Ther. 29, 111 â 123 ( 1981 ). 10.1038/clpt.1981.18; M. H. K. Hoffmann, J. Lessick, R. Manzke, F. T. Schmid, E. Gershin, D. T. Boll, S. Rispler, A. J. Aschoff, and M. Grass, â Automatic determination of minimal cardiac motion phases for computed tomography imaging: Initial experience,â Eur. Radiol. 16, 365 â 373 ( 2006 ). 10.1007/s00330â 005â 2849â z; R. M. S. Joemai, J. Geleijns, W. J. H. Veldkamp, and L. J. M. Kroft, â Clinical evaluation of 64â slice CT assessment of global left ventricular function using automated cardiac phase selection,â Circ. J. 72, 641 â 646 ( 2008 ). 10.1253/circj.72.641; R. M. S. Joemai, J. Geleijns, W. J. H. Veldkamp, A. de Roos, and L. J. M. Kroft, â Automated cardiac phase selection with 64â MDCT coronary angiography,â Am. J. Roentgenol. 191, 1690 â 1697 ( 2008 ). 10.2214/AJR.08.1039; B. Ruzsics, M. Gebregziabher, H. Lee, R. L. Brothers, T. Allmendinger, S. Vogt, P. Costello, and U. J. Schoepf, â Coronary CT angiography: Automatic cardiacâ phase selection for image reconstruction,â Eur. Radiol. 19, 1906 â 1913 ( 2009 ). 10.1007/s00330â 009â 1368â 8; C. Rohkohl, H. Bruder, K. Stierstorfer, and T. Flohr, â Improving bestâ phase image quality in cardiac CT by motion correction with MAM optimization,â Med. Phys. 40, 031901 (15pp.) ( 2013 ). 10.1118/1.4789486; W. G. Austen, J. E. Edwards, R. L. Frye, G. G. Gensini, V. L. Gott, L. S. Griffith, D. C. McGoon, M. L. 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Patel, and J. Wei, â Computerized analysis of coronary artery disease: Performance evaluation of segmentation and tracking of coronary arteries in CT angiograms (CTA),â Med. Phys. 41, 081912 (11pp.) ( 2014 ). 10.1118/1.4890294; L. Hadjiiski, C. Zhou, H.â P. Chan, A. Chughtai, P. Agarwal, J. Kuriakose, E. Kazerooni, J. Wei, and S. Patel, â Coronary CT angiography (cCTA): Automated registration of coronary arterial trees from multiple phases,â Phys. Med. Biol. 59, 4661 â 4680 ( 2014 ). 10.1088/0031â 9155/59/16/4661; C. Zhou, H.â P. Chan, J. W. Kuriakose, A. Chughtai, J. Wei, L. M. Hadjiiski, Y. Guo, S. Patel, and E. A. Kazerooni, â Pulmonary vessel segmentation utilizing curved planar reformation and optimal path finding (CROP) in computed tomographic pulmonary angiography (CTPA) for CAD applications,â Proc. SPIE 8315, 83150N1 â 83150N9 ( 2012 ). 10.1117/12.912446; H.â P. Chan, B. Sahiner, R. F. Wagner, and N. 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Phys. 34, 4567 â 4577 ( 2007 ). 10.1118/1.2804558; M. J. Budoff, S. Achenbach, R. S. Blumenthal, J. J. Carr, J. G. Goldin, P. Greenland, A. D. Guerci, J. A. C. Lima, D. J. Rader, G. D. Rubin, L. J. Shaw, and S. E. Wiegers, â Assessment of coronary artery disease by cardiac computed tomography: A scientific statement from the American Heart Association Committee on Cardiovascular Imaging and Intervention, Council on Cardiovascular Radiology and Intervention, and Committee on Cardiac Imaging, Council on Clinical Cardiology,â Circulation 114, 1761 â 1791 ( 2006 ). 10.1161/CIRCULATIONAHA.106.178458; Writing group Members, D. Lloydâ Jones, R. Adams, M. Carnethon, G. De Simone, T. B. Ferguson, K. Flegal, E. Ford, K. Furie, A. Go, K. Greenlund, N. Haase, S. Hailpern, M. Ho, V. Howard, B. Kissela, S. Kittner, D. Lackland, L. Lisabeth, A. Marelli, M. McDermott, J. Meigs, D. Mozaffarian, G. Nichol, C. Oâ Donnell, V. Roger, W. Rosamond, R. Sacco, P. Sorlie, R. Stafford, J. Steinberger, T. 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Kazerooni, â ECGâ gated cardiac CT,â Am. J. Roentgenol. 182, 993 â 1010 ( 2004 ). 10.2214/ajr.182.4.1820993; J. Wei, C. Zhou, H.â P. Chan, A. Chughtai, S. Patel, P. Agarwal, J. Kuriakose, L. M. Hadjiiski, and E. Kazerooni, â Computerized detection of nonâ calcified plaques in coronary CT angiography: Evaluation of topological soft gradient prescreening method and luminal analysis,â Med. Phys. 41, 081901 (9pp.) ( 2014 ). 10.1118/1.4885958; V. Rasche, B. Movassaghi, M. Grass, D. Schafer, and A. Buecker, â Automatic selection of the optimal cardiac phase for gated threeâ dimensional coronary xâ ray angiography,â Acad. Radiol. 13, 630 â 640 ( 2006 ). 10.1016/j.acra.2006.01.010

الإتاحة: https://doi.org/10.1118/1.4961740Test
https://doi.org/10.1007/s00330Testâ
https://doi.org/10.1088/0031Testâ
https://hdl.handle.net/2027.42/135134Test

المؤلفون: McGrath, Deirdre M., Lee, Jenny, Foltz, Warren D., Samavati, Navid, Jewett, Michael A. S., Kwast, Theo, Chung, Peter, Ménard, Cynthia, Brock, Kristy K.

المساهمون: Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48108, Pathology Department, University Health Network, Toronto, Ontario M5G 2C4, Canada, Radiation Medicine Program, Princess Margaret Hospital, University Health Network and the University of Toronto, Toronto, Ontario M5G 2M9, Canada, Radiation Medicine Program, Princess Margaret Hospital, University Health Network and the University of Toronto, Toronto, Ontario M5G 2M9, Canada and Centre Hospitalier de l’Université de Montréal, 1058 Rue Saint‐Denis, Montréal, Québec H2X 3J4, Canada, Radiation Medicine Program, Princess Margaret Hospital, University Health Network, Toronto, Ontario M5G 2M9, Canada, Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada, Departments of Surgery (Urology) and Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario M5G 2M9, Canada

مصطلحات موضوعية: Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging, biomedical MRI, cancer, image matching, image reconstruction, image registration, medical image processing, surgery, tumours, Clinical applications, Registration, Reconstruction, Surgical instruments, devices or methods, e.g. tourniquets, Biological material, e.g. blood, urine, Haemocytometers, Digital computing or data processing equipment or methods, specially adapted for specific applications, Image data processing or generation, in general, pathology correlation, histopathology, prostate cancer, magnetic resonance imaging, MRI‐guided targeted therapy, Gels

وصف الملف: application/pdf

العلاقة: McGrath, Deirdre M.; Lee, Jenny; Foltz, Warren D.; Samavati, Navid; Jewett, Michael A. S.; Kwast, Theo; Chung, Peter; Ménard, Cynthia; Brock, Kristy K. (2016). "Technical Note: Method to correlate whole‐specimen histopathology of radical prostatectomy with diagnostic MR imaging." Medical Physics 43(3): 1065-1072.; https://hdl.handle.net/2027.42/134778Test; Medical Physics; C. Menard, D. Iupati, J. Lee, A. Simeonov, J. Abed, J. Publicover, P. Chung, A. Bayley, C. Catton, M. Milosevic, R. Bristow, G. Morton, P. Warde, K. Brock, and M. A. Haider, “ MRI and biopsy performance in delineating recurrent tumor boundaries after radiotherapy for prostate cancer,” Proc. Int. Soc. Magn. Reson. Med. 19, 3072 ( 2011 ).; M. A. Haider, P. Chung, J. Sweet, A. Toi, K. Jhaveri, C. Menard, P. Warde, J. Trachtenberg, G. Lockwood, and M. Milosevic, “ Dynamic contrast‐enhanced magnetic resonance imaging for localization of recurrent prostate cancer after external beam radiotherapy,” Int. J. Radiat. Oncol., Biol., Phys. 70 ( 2 ), 425 – 430 ( 2008 ). 10.1016/j.ijrobp.2007.06.029; A. McNiven, J. Moseley, D. L. Langer, M. A. Haider, and K. K. Brock, “ Preliminary feasibility study: Modeling 3D deformations of the prostate from whole‐mount histology to in vivo MRI,” Med. Phys. 36, 2712 ( 2009 ). 10.1118/1.3182294; G. J. Jager, E. T. G. Ruijter, C. A. van de Kaa, J. J. M. C. H. de la Rosette, G. O. N. Oosterhof, J. R. Thornbury, and J. O. Barentsz, “ Local stagin of prostate cancer with endorectal MR imaging: Correlation with histopathology,” Am. J. Roentgenol. 166, 845 – 852 ( 1996 ). 10.2214/ajr.166.4.8610561; A. D. Ward, C. Crukley, C. McKenzie, J. Montreuil, E. Gibson, J. A. Gomez, M. Moussa, G. Bauman, and A. Fenster, “ Registration of in vivo prostate magnetic resonance images to digital histopathology images,” in Proceedings of MICCAI: International Conference on Medical Image Computing and Computer Assisted Intervenion, LNCS --> ( Springer Berlin Heidelberg, 2010 ), Vol. 6367, pp. 66 – 76.; D. L. Langer, T. H. van der Kwast, A. J. Evans, J. Trachtenberg, B. C. Wilson, and M. A. Haider, “ Prostate cancer detection with multi‐parametric MRI: Logistic regression analysis of quantitative T2, diffusion‐weighted imaging, and dynamic contrast‐enhanced MRI,” J. Magn. Reson. Imaging 30, 327 – 334 ( 2009 ). 10.1002/jmri.21824; V. Shah, T. Pohida, B. Turkbey, H. Mani, M. Merino, P. A. Pinto, P. Choyke, and M. Bernardo, “ A method for correlating in vivo prostate magnetic resonance imaging and histopathology using individualized magnetic resonance ‐based molds,” Rev. Sci. Instrum. 80 ( 10 ), 104301 ( 2009 ). 10.1063/1.3242697; D. L. Langer, T. H. van der Kwast, A. J. Evans, A. Plotkin, J. Trachtenberg, B. C. Wilson, and M. A. Haider, “ Prostate tissue composition and MR measurements: Investigating the relationships between ADC, T2, K trans, V e and corresponding features,” Radiology 255 ( 2 ), 485 – 494 ( 2010 ). 10.1148/radiol.10091343; C. Yong‐Hing, A. Obenaus, R. Stryker, K. Tong, and G. Sarty, “ Magnetic resonance imaging and mathematical modeling of progressive formalin fixation of the human brain,” Magn. Reson. Med. 54, 324 – 332 ( 2005 ). 10.1002/mrm.20578; A. Graser, A. Heuck, B. Sommer, J. Massmann, J. Scheidler, M. Reiser, and U. Mueller‐Lisse, “ Per‐sextant localization and staging or prostate cancer: Correlation of imaging findings with whole‐mount step section histopathology,” Am. J. Roentgenol. 188, 84 – 90 ( 2007 ). 10.2214/AJR.06.0401; C. Menard, R. C. Susil, P. Choyke, G. S. Gustafson, W. Kammerer, H. Ning, R. W. Millner, K. L. Ullman, N. S. Crouse, S. Smith, E. Lessard, J. Pouliot, V. Wright, E. McVeigh, C. N. Coleman, and K. C. Camphausen, “ MRI‐guided HDR prostate brachytherapy in standard 1.5T scanner,” Int. J. Radiat. Oncol., Biol., Phys. 59 ( 5 ), 1414 – 1423 ( 2004 ). 10.1016/j.ijrobp.2004.01.016; M. A. Haider, T. H. van der Kwast, J. Tanguay, A. J. Evans, A. Hashmi, G. Lockwood, and J. Trachtenberg, “ Combined T2‐weighted and diffusion‐weighted MRI for localization of prostate cancer,” Am. J. Roentgenol. 189, 323 – 328 ( 2007 ). 10.2214/ajr.07.2211; K. K. Brock, M. B. Sharpe, L. A. Dawson, S. M. Kim, and D. A. Jaffray, “ Accuracy of finite element model‐based multi‐organ deformable image registration,” Med. Phys. 32 ( 6 ), 1647 – 1659 ( 2005 ). 10.1118/1.1915012; K. Brock, S. Ahmed, J. Moseley, C. Moulton, M. Guindi, M. Haider, S. Gallinger, and L. Dawson, “ Deformable registration for in vivo imaging and pathology correlation,” Med. Phys. 33, 1994 ( 2006 ). 10.1118/1.2240229

الإتاحة: https://doi.org/10.1118/1.4941016Test
https://hdl.handle.net/2027.42/134778Test

المؤلفون: Orza, Anamaria, Yang, Yi, Feng, Ting, Wang, Xueding, Wu, Hui, Li, Yuancheng, Yang, Lily, Tang, Xiangyang, Mao, Hui

المساهمون: Department of Biomedical Engineering, University of Michigan School of Medicine, Ann Arbor, Michigan 48109, Department of Radiology and Imaging Sciences and Center for Systems Imaging, Emory University School of Medicine, Atlanta, Georgia 30322, Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia 30322, Department of Surgery, Emory University School of Medicine, Atlanta, Georgia 30322

مصطلحات موضوعية: Cancer, Medical X‐ray imaging, biomedical materials, biomedical imaging, Gold, Computed tomography, Nanoparticles, Photoacoustic imaging, Medical image contrast, Silver, X‐ray photoelectron spectroscopy, silver iodine, computer tomography, core–shell, contrast agent, Nano‐biotechnology or nano‐medicine, e.g. protein engineering or drug delivery, Biological material, e.g. blood, urine, Haemocytometers, Nano‐structures, Computerised tomographs, Biomaterials, Nanotechnologies‐applications, X‐ray chemical analysis, tumours, transmission electron microscopy, silver compounds, scanning electron microscopy

وصف الملف: application/pdf

العلاقة: Orza, Anamaria; Yang, Yi; Feng, Ting; Wang, Xueding; Wu, Hui; Li, Yuancheng; Yang, Lily; Tang, Xiangyang; Mao, Hui (2016). "A nanocomposite of Au‐AgI core/shell dimer as a dual‐modality contrast agent for x‐ray computed tomography and photoacoustic imaging." Medical Physics 43(1): 589-599.; https://hdl.handle.net/2027.42/135097Test; Medical Physics; D. J. Naczynski, M. C. Tan, R. E. Riman, and P. V. Moghe, “ Rare earth nanoprobes for functional biomolecular imaging and theranostics,” J. Mater. Chem. B 2 ( 20 ), 2958 – 2973 ( 2014 ). 10.1039/c4tb00094c; V. Ntziachristos, “ Going deeper than microscopy: The optical imaging frontier in biology,” Nat. Methods 7 ( 8 ), 603 – 614 ( 2010 ). 10.1038/nmeth.1483; C. P. Karger, P. Hipp, M. Henze, G. Echner, A. Hoss, L. Schad, and G. H. Hartmann, “ Stereotactic imaging for radiotherapy: Accuracy of CT, MRI, PET and SPECT,” Phys. Med. Biol. 48 ( 2 ), 211 – 221 ( 2003 ). 10.1088/0031‐9155/48/2/305; C. Paizs, A. Katona, and J. 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الإتاحة: https://doi.org/10.1118/1.4939062Test
https://hdl.handle.net/2027.42/135097Test

المؤلفون: Li, Weisi, Belmont, Barry, Greve, Joan M., Manders, Adam B., Downey, Brian C., Zhang, Xi, Xu, Zhen, Guo, Dongming, Shih, Albert

المساهمون: Biomedical Engineering Department, University of Michigan, Ann Arbor, Michigan 48109, Mechanical Engineering Department, University of Michigan, Ann Arbor, Michigan 48109 and Biomedical Engineering Department, University of Michigan, Ann Arbor, Michigan 48109, School of Mechanical Engineering, Dalian University of Technology, Dalian, Liaoning 110042, China and Mechanical Engineering Department, University of Michigan, Ann Arbor, Michigan 48109, School of Mechanical Engineering, Dalian University of Technology, Dalian, Liaoning 110042, China

مصطلحات موضوعية: stress relaxation, ultrasonic imaging, viscoelasticity, visible spectra, Electrical, thermal, and mechanical properties of biological matter, Elasticity and anelasticity, stress‐strain relations, Fatigue, corrosion fatigue, embrittlement, cracking, fracture, and failure, Friction, lubrication, and wear, Elastic properties, Clinical applications, Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging, Diagnosis using ultrasonic, sonic or infrasonic waves, Lubricating, Biological material, e.g. blood, urine, Haemocytometers, tissue‐mimicking materials

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الإتاحة: https://doi.org/10.1118/1.4962649Test
https://hdl.handle.net/2027.42/135011Test

المؤلفون: Samala, Ravi K., Chan, Heang‐ping, Hadjiiski, Lubomir, Helvie, Mark A., Wei, Jun, Cha, Kenny

المساهمون: Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109

مصطلحات موضوعية: Mammography, Cancer, Segmentation, Biological material, e.g. blood, urine, Haemocytometers, In which a programme is changed according to experience gained by the computer itself during a complete run, Learning machines, Digital computing or data processing equipment or methods, specially adapted for specific applications, Image data processing or generation, in general, Analysis of texture, Inference methods or devices, digital breast tomosynthesis, computerâ aided detection, mass, deepâ learning, convolutional neural network, transfer learning, Data sets, Learning, Digital tomosynthesis mammography, Image detection systems, Film mammography, Artificial neural networks, Testing procedures, medical image processing, feature extraction

وصف الملف: application/pdf

العلاقة: Samala, Ravi K.; Chan, Heang‐ping; Hadjiiski, Lubomir; Helvie, Mark A.; Wei, Jun; Cha, Kenny (2016). "Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography." Medical Physics 43(12): 6654-6666.; http://hdl.handle.net/2027.42/135545Test; Medical Physics; Y.â T. Wu, C. Zhou, L. M. Hadjiiski, J. Shi, J. Wei, C. Paramagul, B. Sahiner, and H.â P. Chan, â A dynamic multiple thresholding method for automated breast boundary detection in digitized mammograms,â Proc. SPIE 6512, 65122U1 â 65122U8 ( 2007 ). 10.1117/12.710198; J. J. Näppi, T. Hironaka, D. Regge, and H. Yoshida, â Deep transfer learning of virtual endoluminal views for the detection of polyps in CT colonography,â Proc. SPIE 9785, 97852Bâ 1 â 97852Bâ 8 ( 2016 ). 10.1117/12.2217260; A. Cruzâ Roa, J. Arévalo, A. Judkins, A. Madabhushi, and F. 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الإتاحة: https://doi.org/10.1118/1.4967345Test
https://doi.org/10.1088/0031Testâ
https://doi.org/10.1016/0893Testâ
https://doi.org/10.1007/s11263Testâ
http://hdl.handle.net/2027.42/135545Test

المؤلفون: Chan, Heang‐ping

المساهمون: Department of Radiology, University of Michigan, 1500 E. Medical Center Drive, Med Inn Building C477, Ann Arbor, Michigan 48109â 5842

مصطلحات موضوعية: Image sensors, Metal insulator semiconductor structures, Xâ ray detectors, Xâ ray imaging, Digital tomosynthesis mammography, Image reconstruction, Medical image reconstruction, Medical Xâ ray imaging, CMOS integrated circuits, diagnostic radiography, medical image processing, noise, sensors, Digital radiography, Sensors (chemical, optical, electrical, movement, gas, etc.), remote sensing, Biological material, e.g. blood, urine, Haemocytometers, Digital computing or data processing equipment or methods, specially adapted for specific applications, Image data processing or generation, in general, Medical image noise

وصف الملف: application/pdf

العلاقة: Chan, Heang‐ping (2016). "Comment on â Large area CMOS active pixel sensor xâ ray imager for digital breast tomosynthesis: Analysis, modeling, and characterizationâ [Med. Phys. 42, 6294â 6308 (2015)]." Medical Physics 43(3): 1578-1579.; http://hdl.handle.net/2027.42/134858Test; Medical Physics; C. M. Zhao, J. Kanicki, A. C. Konstantinidis, and T. Patel, â Large area CMOS active pixel sensor xâ ray imager for digital breast tomosynthesis: Analysis, modeling, and characterization,â Med. Phys. 42, 6294 â 6308 ( 2015 ). 10.1118/1.4932368; H.â P. Chan, M. M. Goodsitt, M. A. Helvie, S. Zelakiewicz, A. Schmitz, M. Noroozian, C. Paramagul, M. A. Roubidoux, A. V. Nees, C. H. Neal, P. Carson, Y. Lu, L. Hadjiiski, and J. Wei, â Digital breast tomosynthesis: Observer performance of clustered microcalcification detection on breast phantom images acquired with an experimental system using variable scan angles, angular increments, and number of projection views,â Radiology 273, 675 â 685 ( 2014 ). 10.1148/radiol.14132722; H. S. Park, Y. S. Kim, H. J. Kim, Y. W. Choi, and J. G. Choi, â Optimization of configuration parameters in a newly developed digital breast tomosynthesis system,â J. Radiat. Res. 55, 589 â 599 ( 2014 ). 10.1093/jrr/rrt130; Y. Lu, H.â P. Chan, J. Wei, M. M. Goodsitt, P. L. Carson, L. Hadjiiski, A. Schmitz, J. W. Eberhard, and B. E. H. Claus, â Image quality of microcalcifications in digital breast tomosynthesis: Effects of projectionâ view distributions,â Med. Phys. 38, 5703 â 5712 ( 2011 ). 10.1118/1.3637492

الإتاحة: https://doi.org/10.1118/1.4942487Test
http://hdl.handle.net/2027.42/134858Test

المؤلفون: Samavati, Navid, Velec, Michael, Brock, Kristy K.

المساهمون: Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109‐0010, Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario M5G 2M9, Canada, Institute of Medical Science, University of Toronto, Toronto, Ontario M5S 1A8, Canada

مصطلحات موضوعية: Cone beam computed tomography, Analysis of motion, Biological material, e.g. blood, urine, Haemocytometers, Digital computing or data processing equipment or methods, specially adapted for specific applications, Image data processing or generation, in general, Scintigraphy, cancer, computerised tomography, decision making, dosimetry, image motion analysis, image registration, medical image processing, pneumodynamics, radiation therapy, tumours, Dose‐volume analysis, Registration, Computed tomography, Computerised tomographs, deformable registration, dose accumulation, stereotactic body radiotherapy, biomechanical modeling, hybrid registration

وصف الملف: application/pdf

العلاقة: Samavati, Navid; Velec, Michael; Brock, Kristy K. (2016). "Effect of deformable registration uncertainty on lung SBRT dose accumulation." Medical Physics 43(1): 233-240.; http://hdl.handle.net/2027.42/134767Test; Medical Physics; K. Brock, D. McShan, R. Ten Haken, S. Hollister, L. Dawson, and J. Balter, “ Inclusion of organ deformation in dose calculations,” Med. Phys. 30 ( 3 ), 290 – 295 ( 2003 ). 10.1118/1.1539039; G. D. Hugo, J. Campbell, T. Zhang, and D. Yan, “ Cumulative lung dose for several motion management strategies as a function of pretreatment patient parameters,” Int. J. Radiat. Oncol., Biol., Phys. 74 ( 2 ), 593 – 601 ( 2009 ). 10.1016/j.ijrobp.2008.12.069; W. Lu et al., “ Deformable registration of the planning image (kVCT) and the daily images (MVCT) for adaptive radiation therapy,” Phys. Med. Biol. 51 ( 17 ), 4357 – 4374 ( 2006 ). 10.1088/0031‐9155/51/17/015; M. K. Chan, D. L. Kwong, S. C. Ng, A. S. Tong, and E. K. 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الإتاحة: https://doi.org/10.1118/1.4938412Test
http://hdl.handle.net/2027.42/134767Test