Ischemic stroke enhancement using a variational model and the expectation maximization method.
Objectives: In order to enable less experienced physicians to reliably detect early signs of stroke, A novel approach was proposed to enhance the visual perception of ischemic stroke in non-enhanced CT.Methods: A set of 39 retrospective CT scans were used, divided into 23 cases of acute ischemic str...
| Publicado en: | European Radiology Vol. 28; no. 9; pp. 3936 - 3943 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2018
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| 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=131115234&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 131115234 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Sep2018 vid: 28 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 131115234 131115234 NLM29619518 10.1007/s00330-018-5378-2 NLM29619518 131115234 ppf: 3936 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Ischemic stroke enhancement using a variational model and the expectation maximization method. aug: au: Alves, Allan Felipe Fattori Jennane, Rachid de Miranda, José Ricardo Arruda de Freitas, Carlos Clayton Macedo Abdala, Nitamar de Pina, Diana Rodrigues affil: Instituto de Biociências de Botucatu, Departamento de Física e Biofísica, UNESP—Universidade Estadual Paulista, P.O. BOX 510, Distrito de Rubião Junior S/N, 18618-000, Botucatu, São Paulo, Brazil sug: subj: Tomography, X-Ray Computed Methods Radiographic Image Interpretation, Computer-Assisted Methods Stroke Cerebral Ischemia Sensitivity and Specificity Middle Age Algorithms Retrospective Design Aged NIH Stroke Scale Scales Middle Aged: 45-64 years Aged: 65+ years ab: Objectives: In order to enable less experienced physicians to reliably detect early signs of stroke, A novel approach was proposed to enhance the visual perception of ischemic stroke in non-enhanced CT.Methods: A set of 39 retrospective CT scans were used, divided into 23 cases of acute ischemic stroke and 16 normal patients. Stroke cases were obtained within 4.5 h of symptom onset and with a mean NIHSS of 12.9±7.4. After selection of adjunct slices from the CT exam, image averaging was performed to reduce the noise and redundant information. This was followed by a variational decomposition model to keep the relevant component of the image. The expectation maximization method was applied to generate enhanced images.Results: We determined a test to evaluate the performance of observers in a clinical environment with and without the aid of enhanced images. The overall sensitivity of the observer's analysis was 64.5 % and increased to 89.6 % and specificity was 83.3 % and increased to 91.7 %.Conclusion: These results show the importance of a computational tool to assist neuroradiology decisions, especially in critical situations such as the diagnosis of ischemic stroke.Key Points: • Diagnosing patients with stroke requires high efficiency to avoid irreversible cerebral damage. • A computational algorithm was proposed to enhance the visual perception of stroke. • Observers' performance was increased with the aid of enhanced images. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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