A hematoma detector—a practical application of instrumental motion as signal in near infra-red imaging

Abstract: In this paper we discuss results based on using instrumental motion as a signal rather than treating it as noise in Near Infra-Red (NIR) imaging. As a practical application to demonstrate this approach we show the design of a novel NIR hematoma detection device. The proposed device is based on a simplified single source configuration with a dual separation detector array and uses motion as a signal for detecting changes in blood volume in the dural regions of the head. The rapid triage of hematomas in the emergency room will lead to improved use of more sophisticated/expensive imaging facilities such as CT/MRI units. We present simulation results demonstrating the viability of such a device and initial phantom results from a proof of principle device. The results demonstrate excellent localization of inclusions as well as good quantitative comparisons.

[1]  Hamid Dehghani,et al.  Retinotopic mapping of adult human visual cortex with high-density diffuse optical tomography , 2007, Proceedings of the National Academy of Sciences.

[2]  M. Schweiger,et al.  A finite element approach for modeling photon transport in tissue. , 1993, Medical physics.

[3]  David A Boas,et al.  Assessment of Infant Brain Development With Frequency-Domain Near-Infrared Spectroscopy , 2007, Pediatric Research.

[4]  S. Arridge.  Optical tomography in medical imaging , 1999 .

[5]  R. D. Ferguson,et al.  Wide-field retinal hemodynamic imaging with the tracking scanning laser ophthalmoscope. , 2004, Optics express.

[6]  M. Hopman,et al.  Near infrared spectroscopy for noninvasive assessment of claudication. , 1997, The Journal of surgical research.

[7]  D T Delpy,et al.  The Noninvasive Measurement of Absolute Cerebral Deoxyhemoglobin Concentration and Mean Optical Path Length in the Neonatal Brain by Second Derivative Near Infrared Spectroscopy , 1996, Pediatric Research.

[8]  David A. Boas,et al.  A Quantitative Comparison of Simultaneous BOLD fMRI and NIRS Recordings during Functional Brain Activation , 2002, NeuroImage.

[9]  M. Schweiger,et al.  Multiple-slice imaging of a tissue-equivalent phantom by use of time-resolved optical tomography. , 2000, Applied optics.

[10]  B. Tromberg,et al.  Diffuse optical monitoring of blood flow and oxygenation in human breast cancer during early stages of neoadjuvant chemotherapy. , 2007, Journal of biomedical optics.

[11]  M. Schweiger,et al.  The finite element method for the propagation of light in scattering media: boundary and source conditions. , 1995, Medical physics.

[12]  M. Schweiger,et al.  Image reconstruction in optical tomography in the presence of coupling errors. , 2007, Applied optics.

[13]  W. Eric L. Grimson,et al.  Anatomical atlas-guided diffuse optical tomography of brain activation , 2009, NeuroImage.

[14]  B. Pogue,et al.  Review of tissue simulating phantoms for optical spectroscopy, imaging and dosimetry. , 2006, Journal of biomedical optics.

[15]  J. Leon-Carrion,et al.  The Infrascanner, a handheld device for screening in situ for the presence of brain haematomas , 2010, Brain injury.

[16]  Descriptive parameter for photon trajectories in a turbid medium. , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[17]  S. Bunce,et al.  Functional brain imaging using near-infrared technology , 2007, IEEE Engineering in Medicine and Biology Magazine.

[18]  J. H. Trumpy,et al.  [Epidural hematoma]. , 1977, Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke.

[19]  J. VanMeter,et al.  Functional connectivity in the prefrontal cortex measured by near-infrared spectroscopy during ultrarapid object recognition. , 2011, Journal of biomedical optics.

[20]  Improved detection limits using a hand-held optical imager with coregistration capabilities. , 2010, Biomedical optics express.

[21]  Marek Czosnyka,et al.  Continuous Assessment of Cerebral Autoregulation With Near-Infrared Spectroscopy in Adults After Subarachnoid Hemorrhage , 2010, Stroke.

[22]  Benjamin T. Schmidt,et al.  Topographic localization of brain activation in diffuse optical imaging using spherical wavelets , 2009, Physics in medicine and biology.

[23]  C. Grill.  [Subdural hematoma]. , 1961, Svenska lakartidningen.

[24]  Simon R. Arridge,et al.  Radiosity diffusion model in 3D , 2001, European Conference on Biomedical Optics.

[25]  J. Detre,et al.  Transcranial optical monitoring of cerebrovascular hemodynamics in acute stroke patients. , 2009, Optics express.

[26]  J. VanMeter,et al.  Event-related fast optical signal in a rapid object recognition task: Improving detection by the independent component analysis , 2008, Brain Research.

[27]  J. Pickard,et al.  Noninvasive monitoring of cerebrovascular reactivity with near infrared spectroscopy in head-injured patients. , 2010, Journal of neurotrauma.

[28]  S Nioka,et al.  Study of near infrared technology for intracranial hematoma detection. , 2000, Journal of biomedical optics.

[29]  Elizabeth M C Hillman,et al.  Optical brain imaging in vivo: techniques and applications from animal to man. , 2007, Journal of biomedical optics.

[30]  R. Cubeddu,et al.  In vivo optical characterization of human tissues from 610 to 1010 nm by time-resolved reflectance spectroscopy. , 2001, Physics in medicine and biology.

[31]  D. Tucker,et al.  Intracranial Hematoma Detection Using Near Infrared Light and Local Reference Method , 2006 .