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T2-adjusted computed diffusion-weighted imaging: A novel method to enhance tumour visualisation.
Cheng, Lin; Blackledge, Matthew D; Collins, David J; Orton, Matthew R; Jerome, Neil P; Feiweier, Thorsten; Rata, Mihaela; Morgan, Veronica; Tunariu, Nina; Leach, Martin O; Koh, Dow-Mu.
Afiliação
  • Cheng L; Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • Blackledge MD; Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK. Electronic address: matthew.blackledge@icr.ac.uk.
  • Collins DJ; Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • Orton MR; Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • Jerome NP; Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • Feiweier T; Siemens Healthcare GmbH, Erlangen, Germany.
  • Rata M; Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • Morgan V; Department of Radiology, Royal Marsden Hospital, Sutton, UK.
  • Tunariu N; Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK; Department of Radiology, Royal Marsden Hospital, Sutton, UK.
  • Leach MO; Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • Koh DM; Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK; Department of Radiology, Royal Marsden Hospital, Sutton, UK.
Comput Biol Med ; 79: 92-98, 2016 12 01.
Article em En | MEDLINE | ID: mdl-27770679
ABSTRACT

PURPOSE:

To introduce T2-adjusted computed DWI (T2-cDWI), a method that provides synthetic images at arbitrary b-values and echo times (TEs) that improve tissue contrast by removing or increasing T2 contrast in diffusion-weighted images. MATERIALS AND

METHODS:

In addition to the standard DWI acquisition protocol T2-weighted echo-planar images at multiple (≥2) echo times were acquired. This allows voxelwise estimation of apparent diffusion coefficient (ADC) and T2 values, permitting synthetic images to be generated at any chosen b-value and echo time. An analytical model is derived for the noise properties in T2-cDWI, and validated using a diffusion test-object. Furthermore, we present T2-cDWI in two example clinical case studies (i) a patient with mesothelioma demonstrating multiple disease tissue compartments and (ii) a patient with primary ovarian cancer demonstrating solid and cystic disease compartments.

RESULTS:

Measured image noise in T2-cDWI from phantom experiments conformed to the analytical model and demonstrated that T2-cDWI at high computed b-value/TE combinations achieves lower noise compared with conventional DWI. In patients, T2-cDWI with low b-value and long TE enhanced fluid signal while suppressing solid tumour components. Conversely, large b-values and short TEs overcome T2 shine-through effects and increase the contrast between tumour and fluid compared with conventional high-b-value DW images.

CONCLUSION:

T2-cDWI is a promising clinical tool for improving image signal-to-noise, image contrast, and tumour detection through suppression of T2 shine-through effects.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imagem de Difusão por Ressonância Magnética / Neoplasias Tipo de estudo: Guideline Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Comput Biol Med Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imagem de Difusão por Ressonância Magnética / Neoplasias Tipo de estudo: Guideline Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Comput Biol Med Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido
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