3D surface reconstruction for laparoscopic computer-assisted interventions: comparison of state-of-the-art methods

Groch, Anja; Seitel, Alexander; Hempel, Susanne; Speidel, Stefanie; Engelbrecht, Rainer; Penne, Jochen; Höller, Kurt; Röhl, Sebastian; Yung, Kwong; Bodenstedt, Sebastian; Pflaum, Felix; Santos, Thiago R. Dos; Mersmann, Sven; Meinzer, Hans-Peter; Hornegger, Joachim; Maier-Hein, Lena

doi:10.1117/12.878354

Cited by 12 publications

(14 citation statements)

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“…Sensor fusion. The different reconstruction methods reviewed here provide different, often complementary advantages, as already shown by Groch et al (Groch et al, 2011) for laparoscopic interventions as well as by Beder et al (Beder et al, 2007) and Ringbeck (Ringbeck, 2009) in the non-medical context. For example, stereo approaches perform best on textured objects, while structured light and ToF yield the best results on homogeneous objects.…”

Section: Discussionmentioning

confidence: 85%

“…As a consequence of all of these issues, the reconstruction accuracy of the first prototypical ToF endoscopes, which yield maximum errors > 1 cm (Seitel, 2012;Groch et al, 2011) is not yet sufficient for clinical application. Yet the increase of performance of ToF-devices in recent years and the growing number of applications in various areas clearly shows that upcoming ToF cameras will feature even more advanced characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…The standard LEDarray illumination units of the ToF camera were replaced by a fiber-coupled high-power laser diode connected to the illumination fiber bundle of the endoscope. In a subsequent study, a new generation ToF camera (CamCube 2.0, PMD Technologies) featuring a higher resolution of 204 × 204 was used in a similar setup (Groch et al, 2011). The reconstruction error, determined with CT reference data, was of the order of magnitude of 4 mm.…”

Section: Application To Laparoscopymentioning

confidence: 99%

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Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery

Maier-Hein

Mountney

Bartoli

et al. 2013

Medical Image Analysis

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236

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One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-operative morphology and motion of soft-tissues. This information is prerequisite to the registration of multi-modal patient-specific data for enhancing the surgeon's navigation capabilites by observing beyond exposed tissue surfaces and for providing intelligent control of robotic-assisted instruments. In minimally invasive surgery (MIS), optical techniques are an increasingly attractive approach for in vivo 3D reconstruction of the soft-tissue surface geometry. This paper reviews the state-of-the-art methods for optical intra-operative 3D reconstruction in laparoscopic surgery and discusses the technical challenges and future perspectives towards clinical translation. With the recent paradigm shift of surgical practice towards MIS and new developments in 3D optical imaging, this is a timely discussion about technologies that could facilitate complex CAS procedures in dynamic and deformable anatomical regions.

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Section: Discussionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Section: Application To Laparoscopymentioning

confidence: 99%

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Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery

Maier-Hein

Mountney

Bartoli

et al. 2013

Medical Image Analysis

Self Cite

236

130

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show abstract

“…The standard illumination units of the ToF camera were replaced by a fiber-coupled high-power laser diode connected to the illumination fiber bundle of the endoscope. In a subsequent study, a higher resolution ToF camera featuring a lateral resolution of 204×204 px was used in a similar setup [56]. Recently, the company Richard Wolf GmbH (Knittlingen, Germany) introduced their first prototypical ToF endoscope.…”

Section: -D Endoscopy For Minimally Invasive Proceduresmentioning

confidence: 99%

Real-Time Range Imaging in Health Care: A Survey

Bauer

Seitel

Hofmann³

et al. 2013

Lecture Notes in Computer Science

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Abstract. The recent availability of dynamic, dense, and low-cost range imaging has gained widespread interest in health care. It opens up new opportunities and has an increasing impact on both research and commercial activities. This chapter presents a state-of-the-art survey on the integration of modern range imaging sensors into medical applications. The scope is to identify promising applications and methods, and to provide an overview of recent developments in this rapidly evolving domain. The survey covers a broad range of topics, including guidance in computer-assisted interventions, operation room monitoring and workflow analysis, touch-less interaction and on-patient visualization, as well as prevention and support in elderly care and rehabilitation. We put emphasis on dynamic and interactive tasks where real-time and dense 3-D imaging forms the key aspect. While considering different range imaging modalities that fulfill these requirements, we particularly investigate the impact of Time-of-Flight imaging in this domain. Eventually, we discuss practical demands and limitations, and open research issues and challenges that are of fundamental importance for the progression of the field.

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“…However, 3D reconstruction still remains a very challenging task in the endoscopic domain. Several recent surveys about this topic are available [63,69,136,176].…”

Section: D Reconstructionmentioning

confidence: 99%

Content-based processing and analysis of endoscopic images and videos: A survey

Münzer

Schoeffmann

Böszörményi

2017

Multimed Tools Appl

109

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In recent years, digital endoscopy has established as key technology for medical screenings and minimally invasive surgery. Since then, various research communities with manifold backgrounds have picked up on the idea of processing and automatically analyzing the inherently available video signal that is produced by the endoscopic camera. Proposed works mainly include image processing techniques, pattern recognition, machine learning methods and Computer Vision algorithms. While most contributions deal with realtime assistance at procedure time, the post-procedural processing of recorded videos is still in its infancy. Many post-processing problems are based on typical Multimedia methods like indexing, retrieval, summarization and video interaction, but have only been sparsely addressed so far for this domain. The goals of this survey are (1) to introduce this research field to a broader audience in the Multimedia community to stimulate further research, (2) to describe domain-specific characteristics of endoscopic videos that need to be addressed in a pre-processing step, and (3) to systematically bring together the very diverse research results for the first time to provide a broader overview of related research that is currently not perceived as belonging together.

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3D surface reconstruction for laparoscopic computer-assisted interventions: comparison of state-of-the-art methods

Cited by 12 publications

References 0 publications

Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery

Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery

Real-Time Range Imaging in Health Care: A Survey

Content-based processing and analysis of endoscopic images and videos: A survey

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