Multispectral image alignment using a three channel endoscope in vivo during minimally invasive surgery

Sequential multispectral imaging is an acquisition technique that involves collecting images of a target at different wavelengths, to compile a spectrum for each pixel. In surgical applications it suffers from low illumination levels and motion artefacts. A three-channel rigid endoscope system has been developed that allows simultaneous recording of stereoscopic and multispectral images. Salient features on the tissue surface may be tracked during the acquisition in the stereo cameras and, using multiple camera triangulation techniques, this information used to align the multispectral images automatically even though the tissue or camera is moving. This paper describes a detailed validation of the set-up in a controlled experiment before presenting the first in vivo use of the device in a porcine minimally invasive surgical procedure. Multispectral images of the large bowel were acquired and used to extract the relative concentration of haemoglobin in the tissue despite motion due to breathing during the acquisition. Using the stereoscopic information it was also possible to overlay the multispectral information on the reconstructed 3D surface. This experiment demonstrates the ability of this system for measuring blood perfusion changes in the tissue during surgery and its potential use as a platform for other sequential imaging modalities.

[1]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[2]  M. Dewhirst,et al.  Hyperspectral imaging of hemoglobin saturation in tumor microvasculature and tumor hypoxia development. , 2005, Journal of biomedical optics.

[3]  Georgios N Stamatas,et al.  In vivo monitoring of cutaneous edema using spectral imaging in the visible and near infrared. , 2006, The Journal of investigative dermatology.

[4]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  H. Mantsch,et al.  Mapping tissue oxygenation in the beating heart with near-infrared spectroscopic imaging , 2003 .

[6]  Guang-Zhong Yang,et al.  Soft-Tissue Motion Tracking and Structure Estimation for Robotic Assisted MIS Procedures , 2005, MICCAI.

[7]  E. Hillman,et al.  Ultra-fast multispectral optical imaging of cortical oxygenation, blood flow, and intracellular calcium dynamics. , 2009, Optics express.

[8]  D. Scharstein,et al.  A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).

[9]  Luma V. Halig,et al.  Hyperspectral imaging and quantitative analysis for prostate cancer detection. , 2012, Journal of biomedical optics.

[10]  Victor X D Yang,et al.  A multispectral fluorescence imaging system: Design and initial clinical tests in intra‐operative Photofrin‐photodynamic therapy of brain tumors , 2003, Lasers in surgery and medicine.

[11]  Guang-Zhong Yang,et al.  Dense 3D Depth Recovery for Soft Tissue Deformation During Robotically Assisted Laparoscopic Surgery , 2004, MICCAI.

[12]  Joshua R. Smith,et al.  First Prize: Characterization of Renal Ischemia Using DLP® Hyperspectral Imaging: A Pilot Study Comparing Artery-Only Occlusion Versus Artery and Vein Occlusion , 2010 .

[13]  N. Takano,et al.  Detecting early oral cancer: narrowband imaging system observation of the oral mucosa microvasculature. , 2010, International journal of oral and maxillofacial surgery.

[14]  D. Elson,et al.  Polarized multispectral imaging in a rigid endoscope based on elastic light scattering spectroscopy , 2012, Biomedical optics express.

[15]  M. Gladwin,et al.  Noninvasive Determination of Spatially Resolved and Time-Resolved Tissue Perfusion in Humans During Nitric Oxide Inhibition and Inhalation by Use of a Visible-Reflectance Hyperspectral Imaging Technique , 2001, Circulation.

[16]  Alistair Gorman,et al.  Generalization of the Lyot filter and its application to snapshot spectral imaging. , 2010, Optics express.

[17]  Lanlan Zhou,et al.  Multispectral Fluorescence Imaging , 2009, Journal of Nuclear Medicine.

[18]  Guang-Zhong Yang,et al.  Registration and analysis of multispectral images acquired during uterine transplantation surgery , 2012 .

[19]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[20]  Michael B Wallace,et al.  Prospective, controlled tandem endoscopy study of narrow band imaging for dysplasia detection in Barrett's Esophagus. , 2008, Gastroenterology.

[21]  Abhas Thapa,et al.  Minimal arterial in-flow protects renal oxygenation and function during porcine partial nephrectomy: confirmation by hyperspectral imaging. , 2011, Urology.

[22]  Danail Stoyanov,et al.  Robust registration of multispectral images of the cortical surface in neurosurgery , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

[23]  Mark Hewko,et al.  Regional variations in myocardial tissue oxygenation mapped by near-infrared spectroscopic imaging. , 2002, Journal of molecular and cellular cardiology.

[24]  Robert P. W. Duin,et al.  Multi-spectral video endoscopy system for the detection of cancerous tissue , 2013, Pattern Recognit. Lett..

[25]  Vincent Sauvage,et al.  A Triple Endoscope System for Alignment of Multispectral Images of Moving Tissue , 2010 .

[26]  H. Mantsch,et al.  Visible-near infrared multispectral imaging of the rat dorsal skin flap. , 1999, Journal of biomedical optics.

[27]  L. Billingham,et al.  Narrow‐band imaging flexible cystoscopy in the detection of recurrent urothelial cancer of the bladder , 2008, BJU international.

[28]  E. Livingston,et al.  Intraoperative bile duct visualization using near-infrared hyperspectral video imaging. , 2008, American Journal of Surgery.

[29]  E. Livingston,et al.  Characterization of a near-infrared laparoscopic hyperspectral imaging system for minimally invasive surgery. , 2007, Analytical chemistry.

[30]  Liang Gao,et al.  Snapshot Image Mapping Spectrometer (IMS) with high sampling density for hyperspectral microscopy , 2010, Optics express.

[31]  Kan-Zhi Liu,et al.  Assessment of Skin Flaps Using Optically Based Methods for Measuring Blood Flow and Oxygenation , 2005, Plastic and reconstructive surgery.

[32]  Aksone Nouvong,et al.  Hyperspectral Imaging in Diabetic Foot Wound Care , 2010, Journal of diabetes science and technology.

[33]  Guang-Zhong Yang,et al.  Stabilization of Image Motion for Robotic Assisted Beating Heart Surgery , 2007, MICCAI.

[34]  Christopher D. Anderson,et al.  Visible hyperspectral imaging evaluating the cutaneous response to ultraviolet radiation , 2007, SPIE BiOS.

[35]  Daniel L Farkas,et al.  Spectral imaging for precise surgical intervention in Hirschsprung's Disease , 2008, Journal of biophotonics.