Design and preliminary study of custom laser scanning cystoscope for automated bladder surveillance

Minimally Invasive Therapy and Allied Technologies

Volumn 21, Issue 5, 2012, Pages 320-328

  Yoon, W Jong ^a   Brown, Matthew A ^b   Reinhall, Per G ^c   Park, Sangtae ^d   Seibel, Eric J ^c  

^a QATAR UNIVERSITY   (Qatar)

^b University of Bath   (United Kingdom)

^c University of Washington   (United States)

^d UNIVERSITY OF CHICAGO   (United States)

Author keywords

Automated image stitching; Cystoscope; Laser scanning endoscope; Medical devices

Indexed keywords

ARTICLE; AUTOMATION; BLADDER CANCER; CANCER EPIDEMIOLOGY; COMPUTER AIDED DESIGN; COMPUTER PROGRAM; CONTROLLED STUDY; CYSTOSCOPE; FEMALE; FIBEROSCOPE; HUMAN; HUMAN TISSUE; METHODOLOGY; PRIORITY JOURNAL;

ALGORITHMS; CYSTOSCOPY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LASERS; RESEARCH DESIGN; SOFTWARE; TIME FACTORS; URINARY BLADDER; URINARY BLADDER NEOPLASMS;

EID: 84866547184     PISSN: 13645706     EISSN: 13652931     Source Type: Journal    
DOI: 10.3109/13645706.2011.653374     Document Type: Article

References (26)

1. Lim G, Park K, Sugihara M, Minami K, Esashi M. Future of active catheters. Sensors and actuators A. Physical. 1996;56:113-21.
2. Oesterle SN. Where cardiac surgery and interventional cardiology merge: the future of catheter-based interventions for Cardiovascular disease. Heart Surg Forum. 2001;4:290-6.
3. Rigatelli G, Hijazi ZM. Intracardiac echocardiography in cardiovascular catheter-based interventions: different devices for different purposes. J Interv Cardiol. 2006;18:225-33.
4. Calkins H, Jais P, Steinberg JS. A Practical Approach to Catheter Ablation of Atrial Fibrillation. Lippincott Williams & Wilkins, Philadelphia, PA, USA: 2008.
5. Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun M. Cancer Statistics, 2009. CA Cancer J Clin. 2009;59:225-49.
6. Lotan Y, Svatek RS. Should we screen for bladder cancer in a high-risk population? Cancer. 2006;107:982-90.
7. Bernhardt TM, Schmidl H. Diagnostic potential of virtual cystoscopy of the bladder: MRI vs CT. preliminary report. Eur Radiol. 2003;13:305-12.
8. Kim JK, Park SY. Comparison of virtual cystoscopy, multi-planar reformation, and source CT images with contrast material-filled bladder for detecting lesions. AJR Am J Roent-genol. 2005;185:689-96.
9. Song JH, Francis IR. Bladder tumor detection at virtual cystoscopy. Radiology. 2001;218:95-100.
10. Miranda-Luna R, Dau C, Blondel WC, Hernandez-Mier Y, Wolf D, Guillemin F. Mosaicing of bladder endoscopic image sequences: distortion calibration and registration algorithm. IEEE Trans Biomed Eng. 2008;55:541-53.
11. Yoon WJ, Reinhall PG, Park S, Seibel EJ. Development of an automated steering mechanism for bladder urothelium surveillance. J Med Devices. 2009;3:0110041-9.
12. Seibel EJ, Carroll RE, Dominitz JA, Johnston RS, Melville CD, Lee CM, et al. Tethered-Capsule endoscopy, a low-cost and high-performance alternative technology for the screening of esophageal cancer and Barrett's esophagus. IEEE Trans Biomed Eng. 2008;55:1032-42.
13. Seibel EJ, Kenerson HL, Lee CM, Melville CD, Johnston RS, Yeung RS. Introduction of an ultrathin and flexible laser scanning endoscope for color imaging with integrated PDD and future PDT, " Photodynamic therapy: back to the future. In David K. Kessel, Eds. Proceedings of SPIE, Bellingham, Washington USA: 2009. p 73802A-73802A-8.
14. Lee CM, Chandler JE, Seibel EJ. Wide field fluorescence imaging in narrow passageways using scanning fiber endoscope technology. Photonics West 2010, endoscopic microscopy V. In Proceedings of SPIE, Bellingham, Washington USA: 2010. p 7558-775806.
15. Brown M, Lowe DG. Automatic panoramic image stitching using invariant features. IJCV. 2007;74:59-73.
16. Choe T, Cohen I, Lee M, Medioni G. Optimal Global Mosaic Generation from Retinal Images. Proceedings of 18th International Conference on Pattern Recognition (ICPR), 2006. Hong Kong: pp 681-4.
17. Loewke K, Camarillo D, Jobst C, Salisbury JK. Realtime image mosaicing for medical applications. In Proc. MMVR'07, Long Beach, CA, 2007. p 304-9.
18. Seshamani S, Lau W, Hager G. Real-time endoscopic mosaicking. In Proc. MICCAI'06, Copenhagen, Denmark, 2006. p 355-63.
19. Chou JS, Qian J, Wu Z, Schramm HF. Automatic mosaic and display from a sequence of peripheral angiographic images. In Proc. SPIE Med. Imag.: Image R. Process., K. M. Hanson Ed. 3034, 1997:1077.
20. Jalink A, McAdoo J, Halama G, Liu H. CCD mosaic techniques for large-field digital mammography. IEEE Trans Med Imaging. 1996;15:260.
21. Yang G, Stewart C. Covariance-driven mosaic formation from sparsely-overlapping image sets with application to retinal image mosaicking. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2004;1:804.
22. Vercauteren T, Perchant A, Malandain G, Pennec X, Ayache N. Robust mosaicing with correction of motion distortions and tissue deformations for in vivo fibered microscopy. Med Image Anal. 2006;10:673-92.
23. VercauterenT, Perchant A, Pennec X, Ayache N. Mosaicing of confocal microscopic in vivo soft tissue video sequences. In Proc. MICCAI'05, Palm Springs, USA: 2005. p 753-60.
24. Lowe DG. Distinctive image features from scale-invariant keypoints. IJCV. 2004;60:91-110.
25. Dewhirst MW, Viglianti BL, Lora-Michiels M. Basic principles of thermal dosimetry and thermal thresholds for tissue damage from hyperthermia. Int J Hyperthermia. 2003;19:267-94.
26. Hartley R, Zisserman A. Multiple view geometry in computer vision. Cambridge University Press, Shaftesbury Road, Cambridge, United Kingdom: 2003.