Quantitative evaluation of systematic imaging error due to uncertainty in tissue optical properties in high-density diffuse optical tomography

被引:1
|
作者
Zhan, Yuxuan [1 ]
Eggebrecht, Adam [2 ]
Dehghani, Hamid [1 ]
Culver, Joseph [2 ]
机构
[1] Univ Birmingham, Sch Comp Sci, Birmingham B15 2TT, W Midlands, England
[2] Washington Univ, Dept Radiol, St Louis, MO 63100 USA
来源
OPTICAL TOMOGRAPHY AND SPECTROSCOPY OF TISSUE IX | 2011年 / 7896卷
基金
美国国家卫生研究院;
关键词
medical imaging; diffuse optical tomography; tissue optical properties; image quality; optical neuroimaging; BRAIN-FUNCTION; RECONSTRUCTION;
D O I
10.1117/12.873746
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In MRI-guided diffuse optical tomography of the human brain function, three-dimensional anatomical head model consisting of up to five segmented tissue types can be specified. With disregard to misclassification between different tissues, uncertainty in the optical properties of each tissue type becomes the dominant cause of systematic error in image reconstruction. In this study we present a quantitative evaluation of image resolution dependence due to such uncertainty. Our results show that given a head model which provides a realistic description of its tissue optical property distribution, high-density diffuse optical tomography with cortically constrained image reconstruction are capable of detecting focal activation up to 21.81 mm below the human scalp at an imaging quality better than or equal to 1.0 cm in localization error and 1.0 cm(3) in FVHM with a tolerance of uncertainty in tissue optical properties between +15% and -20%.
引用
收藏
页数:8
相关论文
共 39 条
  • [21] High Resolution Diffuse Optical Tomography using Short Range Indirect Subsurface Imaging
    Liu, Chao
    Maity, Akash K.
    Dubrawski, Artur W.
    Sabharwal, Ashutosh
    Narasimhan, Srinivasa G.
    2020 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL PHOTOGRAPHY (ICCP), 2020,
  • [22] Quantitative evaluation of registration methods for atlas-based Diffuse Optical Tomography
    Wu, Xue
    Eggebrecht, Adam T.
    Culver, Joseph P.
    Zhan, Yuxuan
    Basevi, Hector
    Dehghani, Hamid
    DIFFUSE OPTICAL IMAGING IV, 2013, 8799
  • [23] Towards an Interpretable Functional Image-Based Classifier: Dimensionality Reduction of High-Density Diffuse Optical Tomography Data
    Srinivasan, Sruthi
    Butters, Emilia
    Mancini, Flavia
    Bale, Gemma
    MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE, LOD 2023, PT II, 2024, 14506 : 351 - 357
  • [24] Listen to photon propagation in biological tissues: Quantitative optical scattering imaging and high-resolution diffuse optical tomography using photoacoustic measurements
    Yuan, Zhen
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2014, 2014, 8943
  • [25] High-density functional diffuse optical tomography based on frequency-domain measurements improves image quality and spatial resolution
    Doulgerakis, Matthaios
    Eggebrecht, Adam T.
    Dehghani, Hamid
    NEUROPHOTONICS, 2019, 6 (03)
  • [26] Optimization and evaluation of a three-dimensional diffuse optical tomography system for brain imaging
    Wang, Qiang
    Liu, Zhao
    Jiang, Huabei
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2007, 15 (04) : 223 - 234
  • [27] Quantitative Imaging of Inhomogeneities in Turbid Medium using Diffuse Optical Tomography: A Genetic Algorithm based approach
    Sethi, Abhishek R.
    Patel, H. S.
    Srivastava, Atul
    OPTICAL TOMOGRAPHY AND SPECTROSCOPY OF TISSUE X, 2013, 8578
  • [28] A wide field-of-view, modular, high-density diffuse optical tomography system for minimally constrained three-dimensional functional neuroimaging
    Zhao, Hubin
    Brigadoi, Sabrina
    Chitnis, Danial
    De Vita, Enrico
    Castellaro, Marco
    Powell, Samuel
    Everdell, Nicholas L.
    Cooper, Robert J.
    BIOMEDICAL OPTICS EXPRESS, 2020, 11 (08) : 4110 - 4129
  • [29] High Resolution, Deep Imaging Using Confocal Time-of-Flight Diffuse Optical Tomography
    Zhao, Yongyi
    Raghuram, Ankit
    Kim, Hyun K.
    Hielscher, Andreas H.
    Robinson, Jacob T.
    Veeraraghavan, Ashok
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (07) : 2206 - 2219
  • [30] Short-separation regression incorporated diffuse optical tomography image reconstruction modeling for high-density functional near-infrared spectroscopy
    Gao, Yuanyuan
    Rogers, De'Ja
    von Luhmann, Alexander
    Ortega-Martinez, Antonio
    Boas, David A.
    Yucel, Meryem Ayse
    NEUROPHOTONICS, 2023, 10 (02)