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Emaduddin M, Halic T, Demirel D, Bayrak C, Arikatla VS, De S. Specular Reflection Removal for 3D Reconstruction of Tissues using Endoscopy Videos. PROCEEDINGS OF IEEE SOUTHEASTCON. IEEE SOUTHEASTCON 2023; 2023:246-252. [PMID: 37900192 PMCID: PMC10603791 DOI: 10.1109/southeastcon51012.2023.10115137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
Endoscopy is widely employed for diagnostic examination of the interior of organs and body cavities and numerous surgical interventions. Still, the inability to correlate individual 2D images with 3D organ morphology limits its applications, especially in intra-operative planning and navigation, disease physiology, cancer surveillance, etc. As a result, most endoscopy videos, which carry enormous data potential, are used only for real-time guidance and are discarded after collection. We present a complete method for the 3D reconstruction of inner organs that suggests image extraction techniques from endoscopic videos and a novel image pre-processing technique to reconstruct and visualize a 3D model of organs from an endoscopic video. We use advanced computer vision methods and do not require any modifications to the clinical-grade endoscopy hardware. We have also formalized an image acquisition protocol through experimentation with a calibrated test bed. We validate the accuracy and robustness of our reconstruction using a test bed with known ground truth. Our method can significantly contribute to endoscopy-based diagnostic and surgical procedures using comprehensive tissue and tumor 3D visualization.
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Affiliation(s)
- Muhammad Emaduddin
- Department of Computer Science and Engineering, Texas A&M University, College Station, Texas
| | | | - Doga Demirel
- Department of Computer Science, Florida Polytechnic University, Lakeland, Florida
| | - Coskun Bayrak
- Department of Computer Science, Youngstown State University, Youngstown, OH
| | | | - Suvranu De
- College of Engineering, Florida A&M University - Florida State University, Tallahassee, Florida
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Suarez-Ibarrola R, Kriegmair M, Waldbillig F, Grüne B, Negassi M, Parupalli U, Schmitt A, Reiterer A, Müller C, Scheurer A, Baur S, Klein K, Fallert JA, Mündermann L, Yoganathan J, Probst M, Ihle P, Bobic N, Schumm T, Rehn H, Betke A, Graurock M, Forrer M, Gratzke C, Miernik A, Hein S. A novel endoimaging system for endoscopic 3D reconstruction in bladder cancer patients. MINIM INVASIV THER 2020; 31:34-41. [DOI: 10.1080/13645706.2020.1761833] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Rodrigo Suarez-Ibarrola
- Department of Urology, Faculty of Medicine, University of Freiburg - Medical Centre, Freiburg, Germany
| | | | - Frank Waldbillig
- Department of Urology, University Hospital Mannheim, Mannheim, Germany
| | - Britta Grüne
- Department of Urology, University Hospital Mannheim, Mannheim, Germany
| | - Misgana Negassi
- Fraunhofer Institute for Physical Measurement Techniques IPM, Freiburg, Germany
- Department of Sustainable Systems Engineering INATECH, University of Freiburg, Freiburg, Germany
| | - Ujwala Parupalli
- Fraunhofer Institute for Physical Measurement Techniques IPM, Freiburg, Germany
- Department of Sustainable Systems Engineering INATECH, University of Freiburg, Freiburg, Germany
| | - Annette Schmitt
- Fraunhofer Institute for Physical Measurement Techniques IPM, Freiburg, Germany
- Department of Sustainable Systems Engineering INATECH, University of Freiburg, Freiburg, Germany
| | - Alexander Reiterer
- Fraunhofer Institute for Physical Measurement Techniques IPM, Freiburg, Germany
- Department of Sustainable Systems Engineering INATECH, University of Freiburg, Freiburg, Germany
| | | | | | - Stefan Baur
- QIT Systeme GmbH & Co. KG, Mannheim, Germany
| | | | | | | | | | | | | | - Neven Bobic
- Actuator Solutions, GmbH, Gunzenhausen, Germany
| | | | | | | | | | | | - Christian Gratzke
- Department of Urology, Faculty of Medicine, University of Freiburg - Medical Centre, Freiburg, Germany
| | - Arkadiusz Miernik
- Department of Urology, Faculty of Medicine, University of Freiburg - Medical Centre, Freiburg, Germany
| | - Simon Hein
- Department of Urology, Faculty of Medicine, University of Freiburg - Medical Centre, Freiburg, Germany
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Suarez-Ibarrola R, Hein S, Farin E, Waldbillig F, Kriegmair MC, Ritter M, Klingler HC, Herrmann TRW, Gratzke C, Miernik A. Current Standards in the Endoscopic Management of Bladder Cancer: A Survey Evaluation among Urologists in German-Speaking Countries. Urol Int 2020; 104:410-416. [PMID: 32209791 DOI: 10.1159/000506653] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 02/17/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION To assess the current diagnostic, treatment, and documentation strategies for bladder cancer (BC) in German-speaking countries. MATERIALS AND METHODS A 14-item web-based survey was distributed among members of the German, Austrian, and Swiss Associations of Urology, addressing physicians who perform cystoscopies and transurethral resection of bladder tumors (TURB). RESULTS The survey was responded to by 308 of 5,564 urologists with a mean age of 49.5 years (response rate: 5.5%). The majority of participants (57.3%) practice in an outpatient setting. White light cystoscopy only is used by 60.2%, with additional photodynamic diagnosis and narrow band imaging by 36.8 and 12.5%, respectively. Endoscopic findings are documented in written form by 93.5%, followed by image capture (33.7%) and a central data archive (20.8%). Inpatient hospital urologists document cystoscopic findings by freehand drawing (21.4 vs. 11.4%, p = 0.017), and with a fixed bladder scheme (31.3 vs. 7.4%, <0.05) significantly more frequently. Cystoscopic findings are mainly conveyed to other health professionals in written form (77.4%), and significantly more often by inpatient urologists (p < 0.05). CONCLUSIONS Significant differences exist in the approach to documenting and communicating cystoscopic BC findings. Accurate graphic documentation of lesions, visualization of the mucosa's totality, and meticulous consultation of previous surgical reports require improvements to reduce recurrence and progression rates.
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Affiliation(s)
- Rodrigo Suarez-Ibarrola
- Department of Urology, Faculty of Medicine, University of Freiburg Medical Centre, Freiburg, Germany,
| | - Simon Hein
- Department of Urology, Faculty of Medicine, University of Freiburg Medical Centre, Freiburg, Germany
| | - Erik Farin
- Section of Health Care Research and Rehabilitation Research, University of Freiburg Medical Centre, Freiburg, Germany
| | - Frank Waldbillig
- Department of Urology, University Hospital Mannheim, Mannheim, Germany
| | | | - Manuel Ritter
- Department of Urology and Pediatric Urology, University Hospital Bonn, Bonn, Germany
| | - Hans C Klingler
- Department of Urology and Pediatric Urology, Wilhelminenspital, Vienna, Austria.,Department of Urology, Medical University of Vienna, Vienna, Austria
| | | | - Christian Gratzke
- Department of Urology, Faculty of Medicine, University of Freiburg Medical Centre, Freiburg, Germany
| | - Arkadiusz Miernik
- Department of Urology, Faculty of Medicine, University of Freiburg Medical Centre, Freiburg, Germany
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Chang TC, Marcq G, Kiss B, Trivedi DR, Mach KE, Liao JC. Image-Guided Transurethral Resection of Bladder Tumors - Current Practice and Future Outlooks. Bladder Cancer 2017; 3:149-159. [PMID: 28824942 PMCID: PMC5545914 DOI: 10.3233/blc-170119] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Transurethral resection of bladder tumor (TURBT) under white light cystoscopy (WLC) is the cornerstone for the diagnosis, removal and local staging of non-muscle invasive bladder cancer (NMIBC). Despite technological improvements over the decades, significant shortcomings remain with WLC for tumor detection, thereby impacting the surgical quality and contributing to tumor recurrence and progression. Enhanced cystoscopy modalities such as blue light cystoscopy (BLC) and narrow band imaging (NBI) aid resections by highlighting tumors that might be missed on WLC. Optical biopsy technologies such as confocal laser endomicroscopy (CLE) and optical coherence tomography (OCT) characterize tissue in real-time to ensure a more thorough resection. New resection techniques, particularly en bloc resection, are actively under investigation to improve the overall quality of resections and aid pathologic interpretation. Moreover, new image processing computer algorithms may improve perioperative planning and longitudinal follow-up. Clinical translation of molecular imaging agents is also on the horizon to improve optical diagnosis of bladder cancer. This review focuses on emerging technologies that can impact the quality of TURBT to improve the overall management of NMIBC.
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Affiliation(s)
- Timothy C Chang
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.,Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Gautier Marcq
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.,Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Bernhard Kiss
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.,Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Dharati R Trivedi
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.,Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Kathleen E Mach
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.,Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Joseph C Liao
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.,Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
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Lurie KL, Angst R, Zlatev DV, Liao JC, Ellerbee Bowden AK. 3D reconstruction of cystoscopy videos for comprehensive bladder records. BIOMEDICAL OPTICS EXPRESS 2017; 8:2106-2123. [PMID: 28736658 PMCID: PMC5516821 DOI: 10.1364/boe.8.002106] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 02/04/2017] [Accepted: 02/04/2017] [Indexed: 05/06/2023]
Abstract
White light endoscopy is widely used for diagnostic imaging of the interior of organs and body cavities, but the inability to correlate individual 2D images with 3D organ morphology limits its utility for quantitative or longitudinal studies of disease physiology or cancer surveillance. As a result, most endoscopy videos, which carry enormous data potential, are used only for real-time guidance and are discarded after collection. We present a computational method to reconstruct and visualize a 3D model of organs from an endoscopic video that captures the shape and surface appearance of the organ. A key aspect of our strategy is the use of advanced computer vision techniques and unmodified, clinical-grade endoscopy hardware with few constraints on the image acquisition protocol, which presents a low barrier to clinical translation. We validate the accuracy and robustness of our reconstruction and co-registration method using cystoscopy videos from tissue-mimicking bladder phantoms and show clinical utility during cystoscopy in the operating room for bladder cancer evaluation. As our method can powerfully augment the visual medical record of the appearance of internal organs, it is broadly applicable to endoscopy and represents a significant advance in cancer surveillance opportunities for big-data cancer research.
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Affiliation(s)
- Kristen L. Lurie
- Dept. of Electrical Engineering, Stanford University, Stanford, CA,
USA
- Dept. of Urology, Stanford University, Stanford, CA,
USA
| | | | | | - Joseph C. Liao
- Dept. of Urology, Stanford University, Stanford, CA,
USA
- Corresponding author:
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Kriegmair MC, Bergen T, Ritter M, Mandel P, Michel MS, Wittenberg T, Bolenz C. Digital Mapping of the Urinary Bladder: Potential for Standardized Cystoscopy Reports. Urology 2017; 104:235-241. [PMID: 28214573 DOI: 10.1016/j.urology.2017.02.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Revised: 01/16/2017] [Accepted: 02/09/2017] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To develop a standardized digital reporting tool for cystoscopy of the urinary bladder using panoramic imaging. MATERIALS AND METHODS An image processing and stitching software (Endorama) was developed to generate panoramic images from cystoscopy data. In a processing phase, algorithms were modulated and refined by reference to cystoscopy sequences (n = 30). Subsequently, standard systematic cystoscopies (n = 12) were recorded in patients undergoing transurethral resection of a bladder tumor to create panoramic images. RESULTS All sequences were applicable for the development and refinements of the software. Processing increasingly allowed the creation of images illustrating large parts of the bladder and relevant anatomic landmarks in different locations. The pathway covered by the endoscope during the intervention was illustrated as a route in the respective digital image. During the application phase, panoramic images were successfully created in 10 out of 12 cases. The resolution of the images was 4096 × 2048 pixels and the images required a median digital memory of 3.9 MB (3.4-5.7). The panoramic images illustrated 22 relevant findings of which 7 were papillary tumors. CONCLUSION High-quality digital panoramic maps of the urinary bladder were created using specifically processed data of videocystoscopy. In this preliminary series, relevant findings were illustrated in the respective image. Our tool may help improve standardization of cystoscopy reports and reduce interobserver variability.
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Affiliation(s)
| | - Tobias Bergen
- Image Processing and Medical Engineering Department, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Manuel Ritter
- Department of Urology, University Medical Center Mannheim, Mannheim, Germany
| | - Philipp Mandel
- Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Maurice S Michel
- Department of Urology, University Medical Center Mannheim, Mannheim, Germany
| | - Thomas Wittenberg
- Image Processing and Medical Engineering Department, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
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Lurie KL, Angst R, Seibel EJ, Liao JC, Ellerbee Bowden AK. Registration of free-hand OCT daughter endoscopy to 3D organ reconstruction. BIOMEDICAL OPTICS EXPRESS 2016; 7:4995-5009. [PMID: 28018720 PMCID: PMC5175547 DOI: 10.1364/boe.7.004995] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2016] [Revised: 10/27/2016] [Accepted: 10/27/2016] [Indexed: 06/06/2023]
Abstract
Despite the trend to pair white light endoscopy with secondary image modalities for in vivo characterization of suspicious lesions, challenges remain to co-register such data. We present an algorithm to co-register two different optical imaging modalities as a mother-daughter endoscopy pair. Using white light cystoscopy (mother) and optical coherence tomography (OCT) (daughter) as an example, we developed the first forward-viewing OCT endoscope that fits in the working channel of flexible cystoscopes and demonstrated our algorithm's performance with optical phantom and clinical imaging data. The ability to register multimodal data opens opportunities for advanced analysis in cancer imaging applications.
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Affiliation(s)
- Kristen L. Lurie
- Dept. of Electrical Engineering, Stanford University, Stanford, CA,
USA
- Dept. of Urology, Stanford University, Stanford, CA,
USA
| | | | - Eric J. Seibel
- Dept. of Mechanical Engineering, University of Washington, Seattle, WA,
USA
| | - Joseph C. Liao
- Dept. of Urology, Stanford University, Stanford, CA,
USA
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