Detection of urinary bladder mass in CT urography with SPAN
dc.contributor.author | Cha, Kenny | |
dc.contributor.author | Hadjiiski, Lubomir | |
dc.contributor.author | Chan, Heang‐ping | |
dc.contributor.author | Cohan, Richard H. | |
dc.contributor.author | Caoili, Elaine M. | |
dc.contributor.author | Zhou, Chuan | |
dc.date.accessioned | 2017-01-06T20:47:05Z | |
dc.date.available | 2017-01-06T20:47:05Z | |
dc.date.issued | 2015-07 | |
dc.identifier.citation | Cha, Kenny; Hadjiiski, Lubomir; Chan, Heang‐ping ; Cohan, Richard H.; Caoili, Elaine M.; Zhou, Chuan (2015). "Detection of urinary bladder mass in CT urography with SPAN." Medical Physics 42(7): 4271-4284. | |
dc.identifier.issn | 0094-2405 | |
dc.identifier.issn | 2473-4209 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/134872 | |
dc.publisher | American Association of Physicists in Medicine | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.subject.other | Materials properties | |
dc.subject.other | cancer | |
dc.subject.other | computerised tomography | |
dc.subject.other | feature extraction | |
dc.subject.other | image classification | |
dc.subject.other | image segmentation | |
dc.subject.other | medical image processing | |
dc.subject.other | optimisation | |
dc.subject.other | tumours | |
dc.subject.other | Computed tomography | |
dc.subject.other | Segmentation | |
dc.subject.other | Cancer | |
dc.subject.other | Numerical optimization | |
dc.subject.other | Computerised tomographs | |
dc.subject.other | Biological material, e.g. blood, urine; Haemocytometers | |
dc.subject.other | Digital computing or data processing equipment or methods, specially adapted for specific applications | |
dc.subject.other | Image data processing or generation, in general | |
dc.subject.other | computerâ aided detection | |
dc.subject.other | CT urography | |
dc.subject.other | bladder | |
dc.subject.other | malignancy | |
dc.subject.other | Cancer | |
dc.subject.other | Radiologists | |
dc.subject.other | Laser Doppler velocimetry | |
dc.subject.other | Image detection systems | |
dc.subject.other | Computed tomography | |
dc.subject.other | Medical image contrast | |
dc.subject.other | Medical image smoothing | |
dc.subject.other | Medical image segmentation | |
dc.title | Detection of urinary bladder mass in CT urography with SPAN | |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Medicine (General) | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.contributor.affiliationum | Department of Radiology, The University of Michigan, Ann Arbor, Michigan 48109â 0904 | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/134872/1/mp2503.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/134872/2/mp2503_am.pdf | |
dc.identifier.doi | 10.1118/1.4922503 | |
dc.identifier.source | Medical Physics | |
dc.identifier.citedreference | L. M. Hadjiiski, H. P. Chan, E. M. Caoili, R. H. Cohan, J. Wei, and C. Zhou, â Autoâ initialized cascaded level set (AIâ CALS) segmentation of bladder lesions on multiâ detector row CT urography,â Acad. Radiol. 20, 148 â 155 ( 2013 ). 10.1016/j.acra.2012.08.012 | |
dc.identifier.citedreference | E. M. Caoili, R. H. Cohan, M. Korobkin, J. F. Platt, I. R. Francis, G. J. Faerber, J. E. Montie, and J. H. Ellis, â Urinary tract abnormalities: Initial experience with multiâ detector row CT urography,â Radiology 222, 353 â 360 ( 2002 ). 10.1148/radiol.2222010667 | |
dc.identifier.citedreference | W. C. Liu, K. J. Mortele, and S. G. Silverman, â Incidental extraurinary findings at MDCT urography in patients with hematuria: Prevalence and impact on imaging costs,â Am. J. Roentgenol. 185, 1051 â 1056 ( 2005 ). 10.2214/AJR.04.0218 | |
dc.identifier.citedreference | C. L. McCarthy and N. C. Cowan, â Multidetector CT urography (MDâ CTU) for urothelial imaging,â Radiology (P) 225, 237 ( 2002 ). | |
dc.identifier.citedreference | M. Noroozian, R. H. Cohan, E. M. Caoili, N. C. Cowan, and J. H. Ellis, â Multislice CT urography: State of the art,â Br. J. Radiol. 77, S74 â S86 ( 2004 ). 10.1259/bjr/13478281 | |
dc.identifier.citedreference | S. B. Park, J. K. Kim, H. J. Lee, H. J. Choi, and K.â S. Cho, â Hematuria: Portal venous phase multi detector row CT of the bladderâ A prospective study,â Radiology 245, 798 â 805 ( 2007 ). 10.1148/radiol.2452061060 | |
dc.identifier.citedreference | G. S. Sudakoff, D. P. Dunn, M. L. Guralnick, R. S. Hellman, D. Eastwood, and W. A. See, â Multidetector computerized tomography urography as the primary imaging modality for detecting urinary tract neoplasms in patients with asymptomatic hematuria,â J. Urol. 179, 862 â 867 ( 2008 ). 10.1016/j.juro.2007.10.061 | |
dc.identifier.citedreference | C. J. Duan, K. H. Yuan, F. H. Liu, P. Xiao, G. Q. Lv, and Z. R. Liang, â An adaptive windowâ setting scheme for segmentation of bladder tumor surface via MR cystography,â IEEE Trans. Inf. Technol. Biomed. 16, 720 â 729 ( 2012 ). 10.1109/titb.2012.2200496 | |
dc.identifier.citedreference | S. Jaume, M. Ferrant, B. Macq, L. Hoyte, J. R. Fielding, A. Schreyer, R. Kikinis, and S. K. Warfield, â Tumor detection in the bladder wall with a measurement of abnormal thickness in CT scans,â IEEE Trans. Biomed. Eng. 50, 383 â 390 ( 2003 ). 10.1109/TBME.2003.808828 | |
dc.identifier.citedreference | L. M. Hadjiiski, B. Sahiner, H. P. Chan, E. M. Caoili, R. H. Cohan, and C. Zhou, â Automated segmentation of urinary bladder and detection of bladder lesions in multiâ detector row CT urography,â Proc. SPIE 7260, 72603R ( 2009 ). 10.1117/12.813864 | |
dc.identifier.citedreference | L. Hadjiiski, H. P. Chan, R. H. Cohan, E. M. Caoili, Y. Law, K. Cha, C. Zhou, and J. Wei, â Urinary bladder segmentation in CT urography (CTU) using CLASS,â Med. Phys. 40, 111906 (10pp.) ( 2013 ). 10.1118/1.4823792 | |
dc.identifier.citedreference | K. Cha, L. M. Hadjiiski, H.â P. Chan, E. M. Caoili, R. H. Cohan, and C. Zhou, â CT urography: Segmentation of urinary bladder using CLASS with local contour refinement,â Phys. Med. Biol. 59, 2767 â 2785 ( 2014 ). 10.1088/0031â 9155/59/11/2767 | |
dc.identifier.citedreference | L. M. Hadjiiski, B. Sahiner, H. P. Chan, N. Petrick, M. A. Helvie, and M. N. Gurcan, â Analysis of temporal change of mammographic features: Computerâ aided classification of malignant and benign breast masses,â Med. Phys. 28, 2309 â 2317 ( 2001 ). 10.1118/1.1412242 | |
dc.identifier.citedreference | B. Sahiner, H. P. Chan, N. Petrick, M. A. Helvie, and L. M. Hadjiiski, â Improvement of mammographic mass characterization using spiculation measures and morphological features,â Med. Phys. 28, 1455 â 1465 ( 2001 ). 10.1118/1.1381548 | |
dc.identifier.citedreference | J. Kilday, F. Palmieri, and M. D. Fox, â Classifying mammographic lesions using computerâ aided image analysis,â IEEE Trans. Med. Imaging 12, 664 â 669 ( 1993 ). 10.1109/42.251116 | |
dc.identifier.citedreference | E. Street, L. Hadjiiski, B. Sahiner, S. Gujar, M. Ibrahim, S. K. Mukherji, and H. P. Chan, â Automated volume analysis of head and neck lesions on CT scans using 3D level set segmentation,â Med. Phys. 34, 4399 â 4408 ( 2007 ). 10.1118/1.2794174 | |
dc.identifier.citedreference | American Cancer Society, â What are the key statistics about bladder cancer?,â www.cancer.org (2014). | |
dc.identifier.citedreference | S. A. Akbar, K. J. Mortele, K. Baeyens, M. Kekelidze, and S. G. Silverman, â Multidetector CT urography: Techniques, clinical applications, and pitfalls,â Semin. Ultrasound, CT MRI 25, 41 â 54 ( 2004 ). 10.1053/j.sult.2003.11.002 | |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.