A Computer-Aided Analysis Method of SPECT Brain Images for Quantitative Treatment Monitoring: Performance Evaluations and Clinical Applications.

The objective and quantitative analysis of longitudinal single photon emission computed tomography (SPECT) images are significant for the treatment monitoring of brain disorders. Therefore, a computer aided analysis (CAA) method is introduced to extract a change-rate map (CRM) as a parametric image...

Descripción completa

Detalles Bibliográficos
Publicado en:BioMed Research International Vol. 2017; pp. 1 - 12
Autores principales: Xiujuan Zheng, Wentao Wei, Qiu Huang, Shaoli Song, Jieqing Wan, Gang Huang
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell 1/31/2017
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121060662&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 121060662
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        23146133
        FT2T
      jtl: BioMed Research International
      issn: 23146133
      maglogo: N
    pubinfo:
      dt: 1/31/2017
      vid: 2017
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        121060662
        121060662
        121060662
        10.1155/2017/1962181
        121060662
      ppf: 1
      ppct: 11
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: A Computer-Aided Analysis Method of SPECT Brain Images for Quantitative Treatment Monitoring: Performance Evaluations and Clinical Applications.
      aug:
        au:
          Xiujuan Zheng
          Wentao Wei
          Qiu Huang
          Shaoli Song
          Jieqing Wan
          Gang Huang
        affil: Department of Automation, The School of Electrical Engineering Information, Sichuan University, Chengdu, China
      sug:
        subj:
          Carotid Stenosis Therapy
          Tomography, Emission-Computed, Single-Photon Utilization
          Cerebrovascular Circulation Evaluation
          Brain Mapping Methods
          Cerebral Ischemia Therapy
          Human
          Data Collection, Computer Assisted
          Prospective Studies
          Algorithms
          Stents
          Radioisotopes
          Male
          Female
          Middle Age
          Aged
          One-Way Analysis of Variance
          McNemar's Test
          Funding Source
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: The objective and quantitative analysis of longitudinal single photon emission computed tomography (SPECT) images are significant for the treatment monitoring of brain disorders. Therefore, a computer aided analysis (CAA) method is introduced to extract a change-rate map (CRM) as a parametric image for quantifying the changes of regional cerebral blood flow (rCBF) in longitudinal SPECT brain images. The performances of the CAA-CRM approach in treatment monitoring are evaluated by the computer simulations and clinical applications. The results of computer simulations show that the derived CRMs have high similarities with their ground truths when the lesion size is larger than system spatial resolution and the change rate is higher than 20%. In clinical applications, the CAA-CRM approach is used to assess the treatment of 50 patients with brain ischemia. The results demonstrate that CAA-CRM approach has a 93.4% accuracy of recovered region's localization. Moreover, the quantitative indexes of recovered regions derived fromCRM are all significantly different among the groups and highly correlated with the experienced clinical diagnosis. In conclusion, the proposed CAA-CRM approach provides a convenient solution to generate a parametric image and derive the quantitative indexes from the longitudinal SPECT brain images for treatment monitoring.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N