A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters

Malek Mahrooz; Gity Masoumeh; Alidoosti Azadeh; Oghabian Zeinab; Rahimifar Pariya; Ebrahimi Seyede Mandieh Seyed; Tabibian Elnaz; Oghabian Mohammad Ali

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A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters

机译：一种基于灌注加权MRI参数与平滑肌瘤区分子宫肉瘤的机器学习方法

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摘要

Purpose: To propose a computer-assisted method for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted magnetic resonance imaging (PWI).

机译：目的：提出一种基于灌注加权磁共振成像（PWI）从平滑肌瘤区分子宫肉瘤的计算机辅助方法。

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来源
《European Journal of Radiology》 |2019年第2019期|共9页
作者
Malek Mahrooz; Gity Masoumeh; Alidoosti Azadeh; Oghabian Zeinab; Rahimifar Pariya; Ebrahimi Seyede Mandieh Seyed; Tabibian Elnaz; Oghabian Mohammad Ali;
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作者单位

Tehran Univ Med Sci IKHC Med Imaging Ctr Dept Radiol Tehran Iran;

Tehran Univ Med Sci IKHC Med Imaging Ctr Dept Radiol Tehran Iran;

Tehran Univ Med Sci IKHC Med Imaging Ctr Dept Radiol Tehran Iran;

Tehran Univ Med Sci Dept Med Phys &

Biomed Engn Res Ctr Mol &

Cellular Imaging Neuroimaging &

Tehran Univ Med Sci IKHC Med Imaging Ctr Dept Radiol Tehran Iran;

Tehran Univ Med Sci IKHC Med Imaging Ctr Dept Radiol Tehran Iran;

Tehran Univ Med Sci IKHC Med Imaging Ctr Dept Radiol Tehran Iran;

Tehran Univ Med Sci Dept Med Phys &

Biomed Engn Res Ctr Mol &

Cellular Imaging Neuroimaging &

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原文格式 PDF
正文语种 eng
中图分类放射医学;
关键词
Perfusion weighted imaging; Computer-aided diagnosis; Leiomyomas; Magnetic resonance imaging; Uterine sarcoma;

机译：灌注加权成像;计算机辅助诊断;Leiomyomas;磁共振成像;子宫肉瘤;

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专利

1. A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters [J] . Malek Mahrooz, Gity Masoumeh, Alidoosti Azadeh, European Journal of Radiology . 2019,第期

机译：一种基于灌注加权MRI参数与平滑肌瘤区分子宫肉瘤的机器学习方法
2. Investigating the diagnostic value of quantitative parameters based on T2-weighted and contrast-enhanced MRI with psoas muscle and outer myometrium as internal references for differentiating uterine sarcomas from leiomyomas at 3T MRI [J] . Mahrooz Malek, Maryam Rahmani, Seyyedeh Mahdieh Seyyed Ebrahimi, Cancer Imaging . 2019,第1期

机译：研究基于T2加权和对比增强MRI的定量参数的诊断价值，与PSOA肌肉和外部肌瘤作为鉴定3T MRI在Leiomyomas的子宫肉瘤的内部参考
3. Machine Learning to Differentiate T2-Weighted Hyperintense Uterine Leiomyomas from Uterine Sarcomas by Utilizing Multiparametric Magnetic Resonance Quantitative Imaging Features [J] . Nakagawa Masataka, Nakaura Takeshi, Namimoto Tomohiro, Academic radiology . 2019,第10期

机译：通过利用多射磁共振定量成像特征，机器学习用子宫肉瘤区分T2加权的高压子宫内霉菌
4. MRI-based thermometry and thermal dosimetry during focused ultrasound thermal ablation of uterine leiomyomas [C] . McDannold N., Tempany C., Stewart E.A., IEEE Ultrasonics Symposium . 2005

机译：基于MRI的热量测定在聚焦超声热消融子宫平滑肌酵母期间
5. Machine Learning-Based Arterial Spin Labeling Perfusion MRI Signal Processing [D] . ?Xie, Danfeng 2020

机译：基于机器学习的动脉旋转标签灌注MRI信号处理
6. Investigating the diagnostic value of quantitative parameters based on T2-weighted and contrast-enhanced MRI with psoas muscle and outer myometrium as internal references for differentiating uterine sarcomas from leiomyomas at 3T MRI [O] . Mahrooz Malek, Maryam Rahmani, Seyyedeh Mahdieh Seyyed Ebrahimi, 2019

机译：基于T2加权和对比增强MRI（以腰肌和子宫外肌层为基础的3T MRI鉴别子宫肉瘤与子宫肌瘤的内部参考）的定量参数的诊断价值
7. Investigating the diagnostic value of quantitative parameters based on T2-weighted and contrast-enhanced MRI with psoas muscle and outer myometrium as internal references for differentiating uterine sarcomas from leiomyomas at 3T MRI [O] . Mahrooz Malek, Maryam Rahmani, Seyyedeh Mahdieh Seyyed Ebrahimi, 2019

机译：研究基于T2加权和对比增强MRI的定量参数的诊断价值，与PSOA肌肉和外部肌瘤作为鉴定3T MRI在Leiomyomas的子宫肉瘤的内部参考

A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters

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