{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T09:07:20Z","timestamp":1774084040834,"version":"3.50.1"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T00:00:00Z","timestamp":1571961600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T00:00:00Z","timestamp":1571961600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100006593","name":"Board of Research in Nuclear Sciences","doi-asserted-by":"publisher","award":["34\/14\/13\/2016-BRNS\/34044"],"award-info":[{"award-number":["34\/14\/13\/2016-BRNS\/34044"]}],"id":[{"id":"10.13039\/501100006593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1007\/s11517-019-02014-w","type":"journal-article","created":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T22:45:38Z","timestamp":1572043538000},"page":"2567-2598","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["An efficient wavelet and curvelet-based PET image denoising technique"],"prefix":"10.1007","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6249-4662","authenticated-orcid":false,"given":"Abhishek","family":"Bal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minakshi","family":"Banerjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Punit","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mausumi","family":"Maitra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,25]]},"reference":[{"issue":"4","key":"2014_CR1","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1056\/NEJM200007273430404","volume":"343","author":"RM Pieterman","year":"2000","unstructured":"Pieterman RM, van Putten JWG, Meuzelaar JJ, Mooyaart EL, Vaalburg W, Ko\u00ebter GH, Fidler V, Pruim J, Groen HJM (2000) Preoperative staging of non\u2013small-cell lung cancer with positron-emission tomography. England J Med 343(4):254\u2013261","journal-title":"England J Med"},{"key":"2014_CR2","unstructured":"Iwata R, Ido T (1990) Differential diagnosis of lung tumor with positron emission tomography: a prospective"},{"issue":"4","key":"2014_CR3","first-page":"574","volume":"40","author":"W Weber","year":"1999","unstructured":"Weber W, Carter Y, Abdel-Dayem HM, Sfakianakis G, et al. (1999) Assessment of pulmonary lesions with (18) f-fluorodeoxyglucose positron imaging using coincidence mode gamma cameras. J Nucl Med 40(4):574","journal-title":"J Nucl Med"},{"issue":"4","key":"2014_CR4","first-page":"660","volume":"38","author":"PG Coxson","year":"1997","unstructured":"Coxson PG, Huesman RH, Borland L (1997) Consequences of using a simplified kinetic model for dynamic pet data. J Nucl Med 38(4):660","journal-title":"J Nucl Med"},{"key":"2014_CR5","doi-asserted-by":"crossref","unstructured":"Rodrigues I, Sanches J, Bioucas-Dias J (2008) Denoising of medical images corrupted by poisson noise. In: 15th IEEE International conference on image processing, 2008. ICIP 2008. IEEE, pp 1756\u20131759","DOI":"10.1109\/ICIP.2008.4712115"},{"issue":"4","key":"2014_CR6","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/j.compmedimag.2004.12.002","volume":"29","author":"Y-Y Shih","year":"2005","unstructured":"Shih Y-Y, Chen J-C, Liu R-S (2005) Development of wavelet de-noising technique for pet images. Comput Med Imaging Graph 29(4):297\u2013304","journal-title":"Comput Med Imaging Graph"},{"issue":"8","key":"2014_CR7","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1016\/j.media.2013.05.005","volume":"17","author":"A Le Pogam","year":"2013","unstructured":"Le Pogam A, Hanzouli H, Hatt M, Cheze Le Rest C, Visvikis D (2013) Denoising of pet images by combining wavelets and curvelets for improved preservation of resolution and quantitation. Med Image Anal 17 (8):877\u2013891","journal-title":"Med Image Anal"},{"issue":"5","key":"2014_CR8","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1097\/00004647-200005000-00015","volume":"20","author":"FE Turkheimer","year":"2000","unstructured":"Turkheimer FE, Banati RB, Visvikis D, Aston JAD, Gunn RN, Cunningham VJ (2000) Modeling dynamic pet-spect studies in the wavelet domain. J Cerebral Blood Flow Metabol 20(5):879\u2013893","journal-title":"J Cerebral Blood Flow Metabol"},{"issue":"24","key":"2014_CR9","doi-asserted-by":"publisher","first-page":"4329","DOI":"10.1088\/0031-9155\/47\/24\/302","volume":"47","author":"P Hannequin","year":"2002","unstructured":"Hannequin P, Mas J (2002) Statistical and heuristic image noise extraction (shine): a new method for processing poisson noise in scintigraphic images. Phys Med Biol 47(24):4329","journal-title":"Phys Med Biol"},{"issue":"4","key":"2014_CR10","doi-asserted-by":"publisher","first-page":"159","DOI":"10.3413\/nukmed-0215","volume":"48","author":"A Seret","year":"2009","unstructured":"Seret A, Vanhove C, Defrise M (2009) Resolution improvement and noise reduction in human pinhole spect using a multi-ray approach and the shine method. Nuklearmedizin Nucl Med 48(4):159\u2013165","journal-title":"Nuklearmedizin Nucl Med"},{"issue":"1","key":"2014_CR11","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/79.560323","volume":"14","author":"JM Ollinger","year":"1997","unstructured":"Ollinger JM, Fessler JA (1997) Positron-emission tomography. IEEE Signal Process Mag 14(1):43\u201355","journal-title":"IEEE Signal Process Mag"},{"issue":"5","key":"2014_CR12","doi-asserted-by":"publisher","first-page":"910","DOI":"10.1109\/9.855552","volume":"45","author":"K Ito","year":"2000","unstructured":"Ito K, Xiong K (2000) Gaussian filters for nonlinear filtering problems. IEEE Trans Autom control 45 (5):910\u2013927","journal-title":"IEEE Trans Autom control"},{"issue":"2","key":"2014_CR13","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1016\/j.neuroimage.2005.09.031","volume":"30","author":"NM Alpert","year":"2006","unstructured":"Alpert NM, Reilhac A, Chio TC, Selesnick I (2006) Optimization of dynamic measurement of receptor kinetics by wavelet denoising. Neuroimage 30(2):444\u2013451","journal-title":"Neuroimage"},{"issue":"3","key":"2014_CR14","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1137\/05064182X","volume":"5","author":"E Candes","year":"2006","unstructured":"Candes E, Demanet L, Donoho D, Ying L (2006) Fast discrete curvelet transforms. Multiscale Model Simul 5(3):861\u2013899","journal-title":"Multiscale Model Simul"},{"issue":"2","key":"2014_CR15","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1002\/cpa.10116","volume":"57","author":"EJ Cand\u00e8s","year":"2004","unstructured":"Cand\u00e8s EJ, Donoho DL (2004) New tight frames of curvelets and optimal representations of objects with piecewise c2 singularities. Commun Pure Appl Math 57(2):219\u2013266","journal-title":"Commun Pure Appl Math"},{"key":"2014_CR16","unstructured":"Ridgelets EJC (1998) Ridgelets: theory and applications. PhD thesis, Ph. D. Thesis, Stanford University USA"},{"issue":"6","key":"2014_CR17","doi-asserted-by":"publisher","first-page":"670","DOI":"10.1109\/TIP.2002.1014998","volume":"11","author":"J-L Starck","year":"2002","unstructured":"Starck J-L, Cand\u00e8s EJ, Donoho DL (2002) The curvelet transform for image denoising. IEEE Trans Image Process 11(6):670\u2013684","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"2014_CR18","doi-asserted-by":"publisher","first-page":"632","DOI":"10.1007\/s11390-010-9352-y","volume":"25","author":"NT Binh","year":"2010","unstructured":"Binh NT, Khare A (2010) Multilevel threshold based image denoising in curvelet domain. J Comput Sci Technol 25(3):632\u2013640","journal-title":"J Comput Sci Technol"},{"key":"2014_CR19","unstructured":"Donoho DL, Johnstone IM (1994) Ideal spatial adaptation by wavelet shrinkage. Biometrika, 425\u2013455"},{"issue":"9","key":"2014_CR20","doi-asserted-by":"publisher","first-page":"1532","DOI":"10.1109\/83.862633","volume":"9","author":"SG Chang","year":"2000","unstructured":"Chang SG, Yu B, Vetterli M (2000) Adaptive wavelet thresholding for image denoising and compression. IEEE Trans Image Process 9(9):1532\u20131546","journal-title":"IEEE Trans Image Process"},{"issue":"7","key":"2014_CR21","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/s12149-007-0044-9","volume":"21","author":"M Shidahara","year":"2007","unstructured":"Shidahara M, Ikoma Y, Kershaw J, Kimura Y, Naganawa M, Watabe H (2007) Pet kinetic analysis: wavelet denoising of dynamic pet data with application to parametric imaging. Ann Nucl Med 21(7):379","journal-title":"Ann Nucl Med"},{"key":"2014_CR22","unstructured":"Cai TT, Silverman BW (2001) Incorporating information on neighbouring coefficients into wavelet estimation. Sankhy\u0101 Indian J Statist, Series B, 127\u2013148"},{"issue":"1","key":"2014_CR23","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.patcog.2004.05.009","volume":"38","author":"GY Chen","year":"2005","unstructured":"Chen GY, Tien D, Bui, Krzy\u017cak A (2005) Image denoising with neighbour dependency and customized wavelet and threshold. Pattern Recogn 38(1):115\u2013124","journal-title":"Pattern Recogn"},{"issue":"1","key":"2014_CR24","first-page":"213","volume":"8","author":"KS Mohideen","year":"2008","unstructured":"Mohideen KS, Perumal AS, Sathik MM (2008) Image de-noising using discrete wavelet transform. Int J Comput Sci Netw Secur 8(1):213\u2013216","journal-title":"Int J Comput Sci Netw Secur"},{"issue":"01","key":"2014_CR25","doi-asserted-by":"publisher","first-page":"109","DOI":"10.4236\/jsip.2012.31014","volume":"03","author":"Hari Om","year":"2012","unstructured":"Om H, Biswas M (2012) An improved image denoising method based on wavelet thresholding","journal-title":"Journal of Signal and Information Processing"},{"key":"2014_CR26","unstructured":"Green GC (2005) Wavelet-based denoising of cardiac PET data. Carleton University"},{"issue":"3","key":"2014_CR27","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/5992.841791","volume":"2","author":"C Taswell","year":"2000","unstructured":"Taswell C (2000) The what, how, and why of wavelet shrinkage denoising. Comput Sci Eng 2(3):12\u201319","journal-title":"Comput Sci Eng"},{"key":"2014_CR28","doi-asserted-by":"publisher","first-page":"1143","DOI":"10.1121\/1.1586258","volume":"114","author":"B Mohl","year":"2003","unstructured":"Mohl B, Wahlberg M, Madsen PT (2003) Ideal spatial adaptation via wavelet shrinkage. J Acoust Soc Am 114:1143\u20131154","journal-title":"J Acoust Soc Am"},{"issue":"3","key":"2014_CR29","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1109\/18.382009","volume":"41","author":"DL Donoho","year":"1995","unstructured":"Donoho DL (1995) De-noising by soft-thresholding. IEEE Trans Inf Theory 41(3):613\u2013627","journal-title":"IEEE Trans Inf Theory"},{"issue":"432","key":"2014_CR30","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1080\/01621459.1995.10476626","volume":"90","author":"DL Donoho","year":"1995","unstructured":"Donoho DL, Johnstone IM (1995) Adapting to unknown smoothness via wavelet shrinkage. J Am Stat Assoc 90(432):1200\u20131224","journal-title":"J Am Stat Assoc"},{"key":"2014_CR31","doi-asserted-by":"crossref","unstructured":"Chang GS, Yu B, Vetterli M (1998) Spatially adaptive wavelet thresholding with context modeling for image denoising. In: 1998 International conference on image processing, 1998. ICIP 98. Proceedings, vol 1. IEEE, pp 535\u2013539","DOI":"10.1109\/ICIP.1998.723556"},{"key":"2014_CR32","first-page":"4","volume":"2011","author":"S AlZubi","year":"2011","unstructured":"AlZubi S, Islam N, Abbod M (2011) Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation. J Biomed Imag 2011:4","journal-title":"J Biomed Imag"},{"key":"2014_CR33","unstructured":"Kumar YK (2009) Comparison of fusion techniques applied to preclinical images: fast discrete curvelet transform using wrapping technique & wavelet transform. J Theor Appl Inf Technol, 5(6)"},{"key":"2014_CR34","doi-asserted-by":"crossref","unstructured":"Ali Hyder S, Sukanesh R (2011) An efficient algorithm for denoising mr and ct images using digital curvelet transform. In: Software tools and algorithms for biological systems. Springer, pp 471\u2013480","DOI":"10.1007\/978-1-4419-7046-6_47"},{"key":"2014_CR35","doi-asserted-by":"crossref","unstructured":"Starck J-L, Murtagh F, Fadili JM (2010) Sparse image and signal processing: wavelets, curvelets, morphological diversity. Cambridge University Press","DOI":"10.1017\/CBO9780511730344"},{"key":"2014_CR36","unstructured":"Mallat S (2008) A wavelet tour of signal processing: the sparse way. Academic Press"},{"issue":"3","key":"2014_CR37","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1109\/97.995823","volume":"9","author":"Z Wang","year":"2002","unstructured":"Wang Z, Bovik AC (2002) A universal image quality index. IEEE Signal Process Lett 9(3):81\u201384","journal-title":"IEEE Signal Process Lett"},{"key":"2014_CR38","first-page":"65","volume-title":"Physiological Imaging of the Brain with PET","author":"Mark Slifstein","year":"2001","unstructured":"Slifstein M, Mawlawi O, Laruelle M (2001) Partial volume effect correction: methodological considerations. In: Gjedde A, Hansen SB, GMK, Paulson OB (eds) Physiological imaging of the brain with PET, pp 65\u201371"},{"key":"2014_CR39","doi-asserted-by":"crossref","unstructured":"Bal A, Banerjee M, Chakrabarti A, Sharma P (2018) Mri brain tumor segmentation and analysis using rough-fuzzy c-means and shape based properties. Journal of King Saud University-Computer and Information Sciences","DOI":"10.1016\/j.jksuci.2018.11.001"},{"key":"2014_CR40","doi-asserted-by":"crossref","unstructured":"Bal A, Banerjee M, Sharma P, Maitra M (2018) Brain tumor segmentation on mr image using k-means and fuzzy-possibilistic clustering. In: 2018 2nd International conference on electronics, materials engineering & nano-technology (IEMENTech). IEEE, pp 1\u20138","DOI":"10.1109\/IEMENTECH.2018.8465390"},{"key":"2014_CR41","doi-asserted-by":"crossref","unstructured":"Maji P, Pal SK (2011) Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging, vol 3. Wiley","DOI":"10.1002\/9781118119723"},{"key":"2014_CR42","first-page":"2","volume":"1","author":"HB Kekre","year":"2010","unstructured":"Kekre HB, Gharge S (2010) Texture based segmentation using statistical properties for mammographic images. Entropy 1:2","journal-title":"Entropy"},{"issue":"7","key":"2014_CR43","doi-asserted-by":"publisher","first-page":"1095","DOI":"10.1016\/j.jvcir.2012.07.007","volume":"23","author":"H-Y Yang","year":"2012","unstructured":"Yang H-Y, Wang X-Y, Wang Q-Y, Zhang X-J (2012) Ls-svm based image segmentation using color and texture information. J Vis Commun Image Represent 23(7):1095\u20131112","journal-title":"J Vis Commun Image Represent"},{"key":"2014_CR44","doi-asserted-by":"crossref","unstructured":"Yu S, Muhammed HH (2016) Noise type evaluation in positron emission tomography images. In: International conference on biomedical engineering (IBIOMED). IEEE, pp 1\u20136","DOI":"10.1109\/IBIOMED.2016.7869828"},{"key":"2014_CR45","doi-asserted-by":"crossref","unstructured":"Hasinoff SW (2014) Photon, poisson noise. In: Computer vision. Springer, pp 608\u2013610","DOI":"10.1007\/978-0-387-31439-6_482"},{"issue":"4","key":"2014_CR46","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1080\/00401706.1973.10489112","volume":"15","author":"PC Consul","year":"1973","unstructured":"Consul PC, Jain GC (1973) A generalization of the poisson distribution. Technometrics 15(4):791\u2013799","journal-title":"Technometrics"},{"issue":"2","key":"2014_CR47","first-page":"1","volume":"6","author":"EJ Stollnitz","year":"1995","unstructured":"Stollnitz EJ, DeRose TD, Salesin DH (1995) Wavelets for computer graphics: a primer part 1 y. Way 6 (2):1","journal-title":"Way"},{"issue":"1","key":"2014_CR48","first-page":"22","volume":"1","author":"C Mulcahy","year":"1997","unstructured":"Mulcahy C (1997) Image compression using the haar wavelet transform. Spelman Sci Math J 1(1):22\u201331","journal-title":"Spelman Sci Math J"},{"key":"2014_CR49","unstructured":"Kara B, Watsuji N (2003) Using wavelets for texture classification. In: IJCI proceedings of international conference on signal processing, vol 1"},{"key":"2014_CR50","unstructured":"Candes EJ, Donoho DL (2000) Curvelets, multiresolution representation, and scaling laws. In: International symposium on optical science and technology. International Society for Optics and Photonics, pp 1\u201312"},{"issue":"5","key":"2014_CR51","doi-asserted-by":"publisher","first-page":"1062","DOI":"10.1137\/S0036141098344403","volume":"31","author":"DL Donoho","year":"2000","unstructured":"Donoho DL (2000) Orthonormal ridgelets and linear singularities. SIAM J Math Anal 31(5):1062\u20131099","journal-title":"SIAM J Math Anal"},{"issue":"1","key":"2014_CR52","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/TIP.2002.806252","volume":"12","author":"MN Do","year":"2003","unstructured":"Do MN, Vetterli M (2003) The finite ridgelet transform for image representation. IEEE Trans Image Process 12(1):16\u201328","journal-title":"IEEE Trans Image Process"},{"issue":"1760","key":"2014_CR53","doi-asserted-by":"publisher","first-page":"2495","DOI":"10.1098\/rsta.1999.0444","volume":"357","author":"EJ Cand\u00e8s","year":"1999","unstructured":"Cand\u00e8s EJ, Donoho DL (1999) Ridgelets: a key to higher-dimensional intermittency? Philos Trans R Soc London A: Math Phys Eng Sci 357(1760):2495\u20132509","journal-title":"Philos Trans R Soc London A: Math Phys Eng Sci"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-019-02014-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11517-019-02014-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-019-02014-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,23]],"date-time":"2020-10-23T23:29:30Z","timestamp":1603495770000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11517-019-02014-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,25]]},"references-count":53,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["2014"],"URL":"https:\/\/doi.org\/10.1007\/s11517-019-02014-w","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10,25]]},"assertion":[{"value":"26 December 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 October 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}