• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

多波长光磁成像算法改进,使用光谱约束直接恢复发色团浓度。

Multiwavelength photo-magnetic imaging algorithm improved for direct chromophore concentration recovery using spectral constraints.

出版信息

Appl Opt. 2021 Dec 10;60(35):10855-10861. doi: 10.1364/AO.439250.

DOI:10.1364/AO.439250
PMID:35200850
Abstract

Multiwavelength photo-magnetic imaging (PMI) is a novel combination of diffuse optics and magnetic resonance imaging, to the best of our knowledge, that yields tissue chromophore concentration maps with high resolution and quantitative accuracy. Here, we present the first experimental results, to the best of our knowledge, obtained using a spectrally constrained PMI image reconstruction method, where chromophore concentration maps are directly recovered, unlike the conventional two-step approach that requires an intermediate step of reconstructing wavelength-dependent absorption coefficient maps. The imposition of the prior spectral information into the PMI inverse problem improves the reconstructed image quality and allows recovery of highly quantitative concentration maps, which are crucial for effective cancer detection and characterization. The obtained results demonstrate the higher performance of the direct reconstruction method. Indeed, the reconstructed concentration maps are not only of higher quality but also obtained approximately 2 times faster than the conventional method.

摘要

多波长光磁共振成像(PMI)是漫射光学和磁共振成像的一种新组合,据我们所知,它可以以高分辨率和定量精度获得组织色素浓度图。在这里,我们提出了第一个实验结果,据我们所知,该结果是使用光谱约束的 PMI 图像重建方法获得的,与传统的两步法不同,该方法需要中间步骤来重建波长相关的吸收系数图。将先验光谱信息施加到 PMI 反问题中可以提高重建图像的质量,并允许恢复高度定量的浓度图,这对于有效检测和表征癌症至关重要。所得到的结果表明了直接重建方法的更高性能。实际上,重建的浓度图不仅质量更高,而且比传统方法快约 2 倍。

相似文献

1
Multiwavelength photo-magnetic imaging algorithm improved for direct chromophore concentration recovery using spectral constraints.多波长光磁成像算法改进,使用光谱约束直接恢复发色团浓度。
Appl Opt. 2021 Dec 10;60(35):10855-10861. doi: 10.1364/AO.439250.
2
Self-Guided Algorithm for Fast Image Reconstruction in Photo-Magnetic Imaging: Artificial Intelligence-Assisted Approach.光磁成像中快速图像重建的自引导算法:人工智能辅助方法。
Bioengineering (Basel). 2024 Jan 28;11(2):126. doi: 10.3390/bioengineering11020126.
3
Multi-Wavelength Photo-Magnetic Imaging System for Photothermal Therapy Guidance.多波长光磁成像系统用于光热治疗引导。
Lasers Surg Med. 2021 Jul;53(5):713-721. doi: 10.1002/lsm.23350. Epub 2020 Nov 10.
4
Photo-magnetic imaging: resolving optical contrast at MRI resolution.光磁成像:在 MRI 分辨率下解析光学对比度。
Phys Med Biol. 2013 Jun 7;58(11):3551-62. doi: 10.1088/0031-9155/58/11/3551. Epub 2013 May 2.
5
Rapid two-step dipole inversion for susceptibility mapping with sparsity priors.具有稀疏先验的磁化率映射的快速两步偶极子反演。
Neuroimage. 2018 Feb 15;167:276-283. doi: 10.1016/j.neuroimage.2017.11.018. Epub 2017 Nov 11.
6
Accelerated MRI thermometry by direct estimation of temperature from undersampled k-space data.通过直接从欠采样k空间数据估计温度实现加速磁共振成像温度测量。
Magn Reson Med. 2015 May;73(5):1914-25. doi: 10.1002/mrm.25327. Epub 2014 Jun 16.
7
High-resolution sodium imaging using anatomical and sparsity constraints for denoising and recovery of novel features.利用解剖结构和稀疏性约束进行高分辨率钠成像,以实现新型特征的去噪和恢复。
Magn Reson Med. 2021 Aug;86(2):625-636. doi: 10.1002/mrm.28767. Epub 2021 Mar 25.
8
Improved magnetic resonance fingerprinting reconstruction with low-rank and subspace modeling.基于低秩和子空间建模的磁共振指纹成像重建方法的改进。
Magn Reson Med. 2018 Feb;79(2):933-942. doi: 10.1002/mrm.26701. Epub 2017 Apr 15.
9
Rapid T quantification from high resolution 3D data with model-based reconstruction.基于模型重建的高分辨率 3D 数据快速 T 定量。
Magn Reson Med. 2019 Mar;81(3):2072-2089. doi: 10.1002/mrm.27502. Epub 2018 Oct 22.
10
MR-guided joint reconstruction of activity and attenuation in brain PET-MR.MR 引导的脑 PET-MR 活动和衰减联合重建。
Neuroimage. 2017 Nov 15;162:276-288. doi: 10.1016/j.neuroimage.2017.09.006. Epub 2017 Sep 14.

引用本文的文献

1
Self-Guided Algorithm for Fast Image Reconstruction in Photo-Magnetic Imaging: Artificial Intelligence-Assisted Approach.光磁成像中快速图像重建的自引导算法:人工智能辅助方法。
Bioengineering (Basel). 2024 Jan 28;11(2):126. doi: 10.3390/bioengineering11020126.