Depth-sensitive diffuse speckle contrast topography for high-density mapping of cerebral blood flow in rodents

被引:1
|
作者
Mohtasebi, Mehrana [1 ]
Singh, Dara [1 ]
Liu, Xuhui [1 ]
Fathi, Faraneh [1 ]
Haratbar, Samaneh Rabienia [1 ]
Saatman, Kathryn E. [2 ]
Chen, Lei [2 ]
Yu, Guoqiang [1 ]
机构
[1] Univ Kentucky, Dept Biomed Engn, Lexington, KY 40506 USA
[2] Univ Kentucky, Dept Physiol, Spinal Cord & Brain Injury Res Ctr, Lexington, KY 40506 USA
基金
美国国家卫生研究院;
关键词
neuroimaging; cerebral blood flow; speckle contrast diffuse correlation topography; diffuse speckle contrast topography; parallel computation; CORRELATION TOMOGRAPHY; OPTICAL TOMOGRAPHY; SPECTROSCOPY; PHANTOMS;
D O I
10.1117/1.NPh.10.4.045007
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Significance: Frequent assessment of cerebral blood flow (CBF) is crucial for the diagnosis and management of cerebral vascular diseases. In contrast to large and expensive imaging modalities, such as nuclear medicine and magnetic resonance imaging, optical imaging techniques are portable and inexpensive tools for continuous measurements of cerebral hemodynamics. The recent development of an innovative noncontact speckle contrast diffuse correlation tomography (scDCT) enables three-dimensional (3D) imaging of CBF distributions. However, scDCT requires complex and time-consuming 3D reconstruction, which limits its ability to achieve high spatial resolution without sacrificing temporal resolution and computational efficiency. Aim: We investigate a new diffuse speckle contrast topography (DSCT) method with parallel computation for analyzing scDCT data to achieve fast and high-density two-dimensional (2D) mapping of CBF distributions at different depths without the need for 3D reconstruction. Approach: A new moving window method was adapted to improve the sampling rate of DSCT. A fast computation method utilizing MATLAB functions in the Image Processing ToolboxT and Parallel Computing ToolboxT was developed to rapidly generate high-density CBF maps. The new DSCT method was tested for spatial resolution and depth sensitivity in head-simulating layered phantoms and invivo rodent models. Results: DSCT enables 2D mapping of the particle flow in the phantom at different depths through the top layer with varied thicknesses. Both DSCT and scDCT enable the detection of global and regional CBF changes in deep brains of adult rats. However, DSCT achieves fast and high-density 2D mapping of CBF distributions at different depths without the need for complex and time-consuming 3D reconstruction. Conclusions: The depth-sensitive DSCT method has the potential to be used as a noninvasive, noncontact, fast, high resolution, portable, and inexpensive brain imager for basic neuroscience research in small animal models and for translational studies in human neonates.
引用
收藏
页数:17
相关论文
共 10 条
  • [1] High-density speckle contrast optical tomography of cerebral blood flow response to functional stimuli in the rodent brain
    Dragojevic, Tanja
    Vidal Rosas, Ernesto E.
    Hollmann, Joseph L.
    Culver, Joseph P.
    Justicia, Carles
    Durduran, Turgut
    NEUROPHOTONICS, 2019, 6 (04)
  • [2] In vivo cerebral blood flow imaging in small animals with three-dimensional, high-density speckle contrast optical tomography
    Dragojevic, T.
    Hollmann, J. L.
    Varma, H. M.
    Valdes, C. P.
    Culver, J. P.
    Justicia, C.
    Durduran, T.
    JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 2017, 37 : 391 - 392
  • [3] Noninvasive noncontact speckle contrast diffuse correlation tomography of cerebral blood flow in rats
    Huang, Chong
    Mazdeyasna, Siavash
    Chen, Li
    Abu Jawdeh, Elie G.
    Bada, Henrietta S.
    Saatman, Kathryn E.
    Chen, Lei
    Yu, Guoqiang
    NEUROIMAGE, 2019, 198 : 160 - 169
  • [4] Movement correction method for laser speckle contrast imaging of cerebral blood flow in cranial windows in rodents
    Guilbert, Jeremie
    Desjardins, Michele
    JOURNAL OF BIOPHOTONICS, 2022, 15 (01)
  • [5] Cerebral Blood Flow Monitoring by Diffuse Speckle Contrast Analysis during MCAO Surgery in the Rat
    Yeo, Chaebeom
    Kim, Heejaung
    Song, Cheol
    CURRENT OPTICS AND PHOTONICS, 2017, 1 (05) : 433 - 439
  • [6] Speckle contrast diffuse correlation tomography of cerebral blood flow in perinatal disease model of neonatal piglets
    Huang, Chong
    Mazdeyasna, Siavash
    Mohtasebi, Mehrana
    Saatman, Kathryn E.
    Cheng, Qiang
    Yu, Guoqiang
    Chen, Lei
    JOURNAL OF BIOPHOTONICS, 2021, 14 (04)
  • [7] High Resolution Cerebral Blood Flow Imaging by Registered Laser Speckle Contrast Analysis
    Miao, Peng
    Rege, Abhishek
    Li, Nan
    Thakor, Nitish V.
    Tong, Shanbao
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2010, 57 (05) : 1152 - 1157
  • [8] Depth sensitivity analysis of high-density imaging arrays for mapping brain function with Diffuse Optical Tomography
    Dehghani, Hamid
    White, Brian R.
    Zeff, Benjamin W.
    Tizzard, Andrew
    Culver, Joseph P.
    OPTICAL TOMOGRAPHY AND SPECTROSCOPY OF TISSUE VIII, 2009, 7174
  • [9] Simultaneous, live imaging of cortical spreading depression and associated cerebral blood flow changes, by combining voltage-sensitive dye and laser speckle contrast methods
    Obrenovitch, Tihomir P.
    Chen, Shangbin
    Farkas, Eszter
    NEUROIMAGE, 2009, 45 (01) : 68 - 74
  • [10] Comparing the performance potential of speckle contrast optical spectroscopy and diffuse correlation spectroscopy for cerebral blood flow monitoring using Monte Carlo simulations in realistic head geometries
    Robinson, Mitchell B.
    Cheng, Tom Y.
    Renna, Marco
    Wu, Melissa M.
    Kim, Byungchan
    Cheng, Xiaojun
    Boas, David A.
    Franceschini, Maria Angela
    Carp, Stefan A.
    NEUROPHOTONICS, 2024, 11 (01)