Panoramabildgebung der Blase: Vom Phantom zu präklinischen Experimenten

Zusammenfassung

Zur Untersuchung der Harnblase wird die Blasenwand mittels starrer oder flexibler Zystoskopie in der klinischen Routine visuell begutachtet, um Gewebeveränderungen zu erkennen und zu behandeln. Durch Methoden der digitalen Bildverarbeitung lassen sich aus zystoskopischen Videosequenzen sog. „Panoramabilder“ oder „Mosaike“ in Echtzeit berechnen, mit derer sich der Verlauf und die Vollständigkeit einer Untersuchung darstellen lässt. Zudem lassen sich solche Panoramabilder für eine erweiterte Dokumentation in digitale Patientenakten integrieren. Dieser Beitrag beschreibt ein prototypisches System für die Erstellung von Blasenpanoramen und präsentiert Ergebnisse aus einem Blasenphantom, sowie retrospektiv verrechneten Zystoskopiesequenzen.

Abstract

In order to detect and treat lesions in the bladder, for clinical examinations the bladder wall is visually inspected in the form of rigid or flexible cystoscopies. Using methods of digital image processing, cystoscopic image sequences can be converted in real-time into so-called „panoramic images“ or „mosaics“, which can be used to document the process as well the completeness of such an examination. Furthermore, such digital panoramic images can be included in the digital patient record for enhanced documentation. This contribution describes a prototype for the computation of panoramic bladder images and presents first results based on a bladder phantom and retrospective real cystoscopic videos.

Schlüsselwörter

Zystoskopie - Stitching - Mosaicking - Panoramabildgebung - Bilderverarbeitung

Key words

cystoscopy - stitching - mosaicking - panorama imaging - image processing

• Literatur

• 1 Capel DP. Image Mosaicing and Super-resolution. Springer; 2004
• 2 Wagner D, Mulloni A, Langlotz T et al. Real-time panoramic mapping and tracking on mobile phones. Proc’s IEEE 201 Virtual Reality Conference (VR). Waltham, MA: 20–24.3.2010 211-218
• 3 Pan Q, Arth C, Reitmayr G et al. Rapid scene reconstruction on mobile phones from panoramic images. In Proc’s 2011 10th IEEE Int. Symp. on Mixed and Augmented Reality (ISMAR). Basel: 26–29.10.2011 55-64
• 4 Gramer M, Bohlken W, Lundt B et al. An algorithm for automatic stitching of CR X-ray images. In: Advances in Medical Engineering. Springer Proc’s in Physics. 114. 2007
• 5 Wang X, Foos DH, Doran J et al. Fully automatic and reference-marker-free image stitching method for full-spine and full-leg imaging with computed radiography. Proc. SPIE 5368, Medical Imaging 2004: Physics of Medical Imaging, 361 (May 6, 2004);
• 6 Steckhan D, Bergen T, Wittenberg T et al. Efficient large scale image stitching for virtual microscopy. In Proc’s 30th Annual Int. Conf. Engineering in Medicine & Biology (EMBC). Vancouver, Canada: 2008: 4019-4023 20–24. Aug.
• 7 Appleton B, Bradley AP, Wildermoth M. Towards optimal image stitching for virtual microscopy. Proc’s Digital Image Computing: Techniques and Applications, 2005 (DICTA '05). Queensland, Australia: 6–8.12.2005 44+
• 8 Sun C, Beare R, Hilsenstein V et al. Mosaicing of microscope images with global geometric and radiometric corrections. Journal of Microscopy 2006; 224 (02) 158-165
• 9 Behrens A. An Image Mosaicing Algorithm for Bladder Fluorescence Endoscopy. In. Proc’s 12th Int. Student Conf. Electrical Eng Prague: 2008
• 10 Soper T, Chandler J, Porter M et al. Constructing spherical panoramas of a bladder phantom from endoscopic video using bundle adjustment. Proc. SPIE 7964 In press.
• 11 Yoon W, Brown M, Seibel E. Automated Cystoscopic Surveillance System with Endoscopic Image Mosaicing. In: Mechatronics 2010: The 12th Mechatronics Forum Biennial International Conference, 2010–06–28 – 2010–06–30, Zurich:
• 12 Mountney P, Stoyanov D, Davison A et al. Simultaneous Stereoscope Localization and Soft-Tissue Mapping for Minimal Invasive Surgery. Proc. MICCAI 2006; 347-354
• 13 Mountney P, Yang G. Dynamic View Expansion for Minimally Invasive Surgery using Simultaneous Localization And Mapping. 31st IEEE EMBS Ann. Int. Conf., Minneapolis, Minn., USA, September 2–6, 2009: 1184-1187
• 14 Ishii T, Zenbutsu S, Nakaguchi T et al. Novel Points of View for Endoscopy: Panoramized Intraluminal Opened Image and 3D Shape Reconstruction. J Medical Imaging and Health Informatics 2001; 1.1: 13-20
• 15 Bergen T, Ruthotto S, Münzenmayer C et al. Feature-based real-time endoscopic mosaicking. Proc’s IEEE: 6th Int. Symp. on Image and Signal Processing and Analysis, ISPA 2009. September 16–18, Salzburg, Austria: 2009: 695-700
• 16 Bergen T, Wittenberg T, Münzenmayer C et al. A graph-based approach for local and global panorama imaging in cystoscopy. Proc's SPIE Med. Imaging 2013: Image Processing, Orlando, Fl, USA: 2013
• 17 Bergen T, Nowack S, Münzenmayer C et al. A hybrid tracking approach for endoscopic real-time panorama imaging. in 17th Annual Conference of the International Society for Computer Aided Surgery, Heidelberg, Germany Int J CARS 2013; 8 (Suppl. 01) Springer 352-354
• 18 Bergen T, Nowack S, Münzenmayer C et al. Echtzeit-Panoramaansichten aus endoskopischen Bildern für die Zystoskopie. Endoskopie Heute 2013; 1 (26) P19
• 19 Bergen T, Hastreiter P, Xu T et al. Real-time panorama imaging of sphenoid sinuses from monocular endoscopic views: an update based on clinical experiments, Accepted, to appear in Proc’s CURAC September. 2014
• 20 Nowack S, Wittenberg T, Paulus D et al. Merkmalsverfolgung für die Panoramaendoskopie. In Proc’s, Bildverarbeitung für die Medizin Heidelberg: 3.–5.03.2013 2013: 205-2010
• 21 Bergen T, Münzenmayer C, Schneider A et al. Panorama-Endoskopie für die erweiterte Sicht in chirurgischen Eingriffen – Ein Update. In: DGE-BV: Endoskopie heute (Jahrestagung DGE-BV 2014, Hamburg, 4.4). Stuttgart: Thieme Verlag; 2014
• 22 Schuster M, Bergen T, Reiter M et al. Laryngoscopic Image Stitching for View Enhancement and Documentation – First Experiences. Biomed Engineering/Biomed. Tech. Vol. 57 (S1), 2012. Proc’s 46. Jahrestagung der DGBMT, 16.19.9.2012 in Jena.