{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:00:13Z","timestamp":1740099613464,"version":"3.37.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030393427"},{"type":"electronic","value":"9783030393434"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-39343-4_24","type":"book-chapter","created":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T06:03:29Z","timestamp":1579759409000},"page":"282-293","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3167-5134","authenticated-orcid":false,"given":"Jose","family":"Bernal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2771-6546","authenticated-orcid":false,"given":"Maria del C.","family":"Vald\u00e9s-Hern\u00e1ndez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2105-8725","authenticated-orcid":false,"given":"Javier","family":"Escudero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5710-567X","authenticated-orcid":false,"given":"Paul A.","family":"Armitage","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8701-9043","authenticated-orcid":false,"given":"Stephen","family":"Makin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0670-0887","authenticated-orcid":false,"given":"Rhian M.","family":"Touyz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9812-6642","authenticated-orcid":false,"given":"Joanna M.","family":"Wardlaw","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,24]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/S0921-9366(98)80004-2","volume-title":"Analysis of Geophysical Potential Fields, Advances in Exploration Geophysics","author":"PS Naidu","year":"1998","unstructured":"Naidu, P.S., Mathew, M.: Chapter 3 Power spectrum and its applications. In: Naidu, P.S., Mathew, M. (eds.) Analysis of Geophysical Potential Fields, Advances in Exploration Geophysics, vol. 5, pp. 75\u2013143. Elsevier, Amsterdam (1998)"},{"issue":"10","key":"24_CR2","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1161\/01.STR.19.10.1285","volume":"19","author":"F Fazekas","year":"1988","unstructured":"Fazekas, F., et al.: White matter signal abnormalities in normal individuals: correlation with carotid ultrasonography, cerebral blood flow measurements, and cerebrovascular risk factors. Stroke 19(10), 1285\u20131288 (1988)","journal-title":"Stroke"},{"key":"24_CR3","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1080\/01621459.2016.1273115","volume":"113","author":"C Happ","year":"2018","unstructured":"Happ, C., Greven, S.: Multivariate functional principal component analysis for data observed on different (dimensional) domains. J. Am. Statistical Assoc. 113, 649\u2013652 (2018)","journal-title":"J. Am. Statistical Assoc."},{"issue":"10","key":"24_CR4","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1007\/s00234-017-1892-1","volume":"59","author":"MDCV Hern\u00e1ndez","year":"2017","unstructured":"Hern\u00e1ndez, M.D.C.V., et al.: Metric to quantify white matter damage on brain magnetic resonance images. Neuroradiology 59(10), 951\u2013962 (2017)","journal-title":"Neuroradiology"},{"issue":"7","key":"24_CR5","doi-asserted-by":"publisher","first-page":"1684","DOI":"10.1007\/s00330-010-1718-6","volume":"20","author":"MDCV Hern\u00e1ndez","year":"2010","unstructured":"Hern\u00e1ndez, M.D.C.V., Ferguson, K.J., Chappell, F.M., Wardlaw, J.M.: New multispectral MRI data fusion technique for white matter lesion segmentation: method and comparison with thresholding in FLAIR images. Eur. Radiol. 20(7), 1684\u20131691 (2010)","journal-title":"Eur. Radiol."},{"key":"24_CR6","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1016\/j.neuroimage.2015.10.018","volume":"125","author":"AK Heye","year":"2016","unstructured":"Heye, A.K., et al.: Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability. Neuroimage 125, 446\u2013455 (2016)","journal-title":"Neuroimage"},{"issue":"12","key":"24_CR7","doi-asserted-by":"publisher","first-page":"124301","DOI":"10.1118\/1.4898202","volume":"41","author":"F Khalifa","year":"2014","unstructured":"Khalifa, F., et al.: Models and methods for analyzing DCE-MRI: a review. Med. Phys. 41(12), 124301 (2014)","journal-title":"Med. Phys."},{"issue":"7","key":"24_CR8","doi-asserted-by":"publisher","first-page":"1210","DOI":"10.1016\/S1388-2457(03)00085-3","volume":"114","author":"D Mattia","year":"2003","unstructured":"Mattia, D., et al.: Quantitative EEG and dynamic susceptibility contrast MRI in Alzheimer\u2019s disease: a correlative study. Clin. Neurophysiol. 114(7), 1210\u20131216 (2003)","journal-title":"Clin. Neurophysiol."},{"issue":"2","key":"24_CR9","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1177\/0271678X16635657","volume":"37","author":"S Mu\u00f1oz Maniega","year":"2017","unstructured":"Mu\u00f1oz Maniega, S., et al.: Integrity of normal-appearing white matter: influence of age, visible lesion burden and hypertension in patients with small-vessel disease. J. Cereb. Blood Flow Metab. 37(2), 644\u2013656 (2017)","journal-title":"J. Cereb. Blood Flow Metab."},{"issue":"4","key":"24_CR10","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1159\/000286342","volume":"29","author":"G Potter","year":"2010","unstructured":"Potter, G., Doubal, F., Jackson, C., Sudlow, C., Dennis, M., Wardlaw, J.: Associations of clinical stroke misclassification (\u2018clinical-imaging dissociation\u2019) in acute ischemic stroke. Cerebrovasc. Dis. 29(4), 395\u2013402 (2010)","journal-title":"Cerebrovasc. Dis."},{"key":"24_CR11","volume-title":"Mathematics of the Discrete Fourier Transform (DFT)","author":"JO Smith","year":"2007","unstructured":"Smith, J.O.: Mathematics of the Discrete Fourier Transform (DFT). W3K Publishing, Palo Alto (2007)"},{"issue":"14","key":"24_CR12","doi-asserted-by":"publisher","first-page":"1228","DOI":"10.1212\/WNL.0000000000000837","volume":"83","author":"J Staals","year":"2014","unstructured":"Staals, J., Makin, S.D., Doubal, F.N., Dennis, M.S., Wardlaw, J.M.: Stroke subtype, vascular risk factors, and total MRI brain small-vessel disease burden. Neurology 83(14), 1228\u20131234 (2014)","journal-title":"Neurology"},{"issue":"12","key":"24_CR13","doi-asserted-by":"publisher","first-page":"e00415","DOI":"10.1002\/brb3.415","volume":"5","author":"MDC Vald\u00e9s Hern\u00e1ndez","year":"2015","unstructured":"Vald\u00e9s Hern\u00e1ndez, M.D.C., et al.: Rationale, design and methodology of the image analysis protocol for studies of patients with cerebral small vessel disease and mild stroke. Brain Behav. 5(12), e00415 (2015)","journal-title":"Brain Behav."},{"key":"24_CR14","doi-asserted-by":"publisher","first-page":"327","DOI":"10.3389\/fneur.2017.00327","volume":"8","author":"MDC Vald\u00e9s-Hern\u00e1ndez","year":"2017","unstructured":"Vald\u00e9s-Hern\u00e1ndez, M.D.C., et al.: Application of texture analysis to study small vessel disease and blood-brain barrier integrity. Front. Neurol. 8, 327 (2017)","journal-title":"Front. Neurol."},{"issue":"10","key":"24_CR15","doi-asserted-by":"publisher","first-page":"1003","DOI":"10.1212\/WNL.0000000000004328","volume":"89","author":"JM Wardlaw","year":"2017","unstructured":"Wardlaw, J.M., et al.: White matter hyperintensity reduction and outcomes after minor stroke. Neurology 89(10), 1003\u20131010 (2017)","journal-title":"Neurology"},{"issue":"6","key":"24_CR16","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1016\/j.jalz.2016.09.006","volume":"13","author":"JM Wardlaw","year":"2017","unstructured":"Wardlaw, J.M., et al.: Blood-brain barrier failure as a core mechanism in cerebral small vessel disease and dementia: evidence from a cohort study. Alzheimer\u2019s Dementia 13(6), 634\u2013643 (2017)","journal-title":"Alzheimer\u2019s Dementia"},{"issue":"5","key":"24_CR17","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/S1474-4422(13)70060-7","volume":"12","author":"JM Wardlaw","year":"2013","unstructured":"Wardlaw, J.M., Smith, C., Dichgans, M.: Mechanisms of sporadic cerebral small vessel disease: insights from neuroimaging. Lancet Neurol. 12(5), 483\u2013497 (2013)","journal-title":"Lancet Neurol."}],"container-title":["Communications in Computer and Information Science","Medical Image Understanding and Analysis"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-39343-4_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T06:17:31Z","timestamp":1579760251000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-39343-4_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030393427","9783030393434"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-39343-4_24","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"24 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIUA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annual Conference on Medical Image Understanding and Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Liverpool","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miua2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/miua2019.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"ocs","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"70","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}