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A multi-task generative model for simultaneous post-contrast MR image synthesis and brainstem glioma segmentation.
Zhang, Yajing; Huang, Yanxin; Xiong, Xiangyu; Liu, Yaou; Qi, Jin.
Afiliación
  • Zhang Y; MR R&D, Philips Healthcare, Suzhou, China. Electronic address: zhangyajing9996@hotmail.com.
  • Huang Y; University of Electronic Science and Technology of China, Chengdu, China.
  • Xiong X; MR R&D, Philips Healthcare, Suzhou, China.
  • Liu Y; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Qi J; University of Electronic Science and Technology of China, Chengdu, China.
Magn Reson Imaging ; 113: 110210, 2024 Nov.
Article en En | MEDLINE | ID: mdl-39033886
ABSTRACT

OBJECTIVES:

This study aims to generate post-contrast MR images reducing the exposure of gadolinium-based contrast agents (GBCAs) for brainstem glioma (BSG) detection, simultaneously delineating the BSG lesion, and providing high-resolution contrast information.

METHODS:

A retrospective cohort of 30 patients diagnosed with brainstem glioma was included. Multi-contrast images, including pre-contrast T1 weighted (pre-T1w), T2 weighted (T2w), arterial spin labeling (ASL) and post-contrast T1w images, were collected. A multi-task generative model was developed to synthesize post-contrast T1w images and simultaneously segment BSG masks from the multi-contrast inputs. Performance evaluation was conducted using peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and mean absolute error (MAE) metrics. A perceptual study was also undertaken to assess diagnostic quality.

RESULTS:

The proposed model achieved SSIM of 0.86 ± 0.04, PSNR of 26.33 ± 0.05 and MAE of 57.20 ± 20.50 for post-contrast T1w image synthesis. Automated delineation of the BSG lesions achieved Dice similarity coefficient (DSC) score of 0.88 ± 0.27.

CONCLUSIONS:

The proposed model can synthesize high-quality post-contrast T1w images and accurately segment the BSG region, yielding satisfactory DSC scores. CLINICAL RELEVANCE STATEMENT The synthesized post-contrast MR image presented in this study has the potential to reduce the usage of gadolinium-based contrast agents, which may pose risks to patients. Moreover, the automated segmentation method proposed in this paper aids radiologists in accurately identifying the brainstem glioma lesion, facilitating the diagnostic process.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Medios de Contraste / Neoplasias del Tronco Encefálico / Glioma Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Magn Reson Imaging Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Medios de Contraste / Neoplasias del Tronco Encefálico / Glioma Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Magn Reson Imaging Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos