From 2D towards 3D cartography of hollow organs

Daul, Christian; Blondel, Walter; Ben-Hamadou, Achraf; Miranda-Luna, R.; Soussen, Charles; Guillemin, François

doi:10.1109/iceee.2010.5608606

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…This research was continued by Hernandez-Mier et al in 2006, extending the investigations to fluorescence imaging [64], and by Olijnyk et al [112] (2007) and Ben-Hamadou et al [20] (2009). The authors applied active stereo techniques by projecting eight laser dots for surface reconstruction of the bladder wall [19], [46]. An acceleration of the method presented by Miranda-Luna et al was described by Hernandez-Mier et al in 2010 [65].…”

Section: Approachesmentioning

confidence: 99%

Stitching and Surface Reconstruction From Endoscopic Image Sequences: A Review of Applications and Methods

Bergen

Wittenberg

2016

IEEE J. Biomed. Health Inform.

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Endoscopic procedures form part of routine clinical practice for minimally invasive examinations and interventions. While they are beneficial for the patient, reducing surgical trauma and making convalescence times shorter, they make orientation and manipulation more challenging for the physician, due to the limited field of view through the endoscope. However, this drawback can be reduced by means of medical image processing and computer vision, using image stitching and surface reconstruction methods to expand the field of view. This paper provides a comprehensive overview of the current state of the art in endoscopic image stitching and surface reconstruction. The literature in the relevant fields of application and algorithmic approaches is surveyed. The technological maturity of the methods and current challenges and trends are analyzed.

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Section: Approachesmentioning

confidence: 99%

Stitching and Surface Reconstruction From Endoscopic Image Sequences: A Review of Applications and Methods

Bergen

Wittenberg

2016

IEEE J. Biomed. Health Inform.

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“…Profile position, represented by its centroid on the image plane, is obtained by isolation of the profile, which is accomplished by turning the PL on and off as in step 4 of sub-section 7.1. The centroid position in pixels is transformed to metric using equation (10). That position is referred to work-piece coordinates and in this case the initial position is the first cross-section profile captured.…”

Section: Measurement Of Depth Of the Cross-sectionsmentioning

confidence: 99%

“…Several publications refer to the 3D reconstruction of hollow parts using rigid endoscopes, primarily in the medical field [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. However, works reporting the use of rigid or flexible endoscopes in industry is limited to a few publications [1,[17][18][19].…”

Section: Introductionmentioning

confidence: 99%

3D reconstruction of hollow parts analyzing images acquired by a fiberscope

Icasio-Hernández

González-Barbosa

Hurtado-Ramos

et al. 2014

Meas. Sci. Technol.

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A modified fiberscope used to reconstruct difficult-to-reach inner structures is presented. By substituting the fiberscope’s original illumination system, we can project a profile-revealing light line inside the object of study. The light line is obtained using a sandwiched power light-emitting diode (LED) attached to an extension arm on the tip of the fiberscope. Profile images from the interior of the object are then captured by a camera attached to the fiberscope’s eyepiece. Using a series of those images at different positions, the system is capable of generating a 3D reconstruction of the object with submillimeter accuracy. Also proposed is the use of a combination of known filters to remove the honeycomb structures produced by the fiberscope and the use of ring gages to obtain the extrinsic parameters of the camera attached to the fiberscope and the metrological traceability of the system. Several standard ring diameter measurements were compared against their certified values to improve the accuracy of the system. To exemplify an application, a 3D reconstruction of the interior of a refrigerator duct was conducted. This reconstruction includes accuracy assessment by comparing the measurements of the system to a coordinate measuring machine. The system, as described, is capable of 3D reconstruction of the interior of objects with uniform and non-uniform profiles from 10 to 60 mm in transversal dimensions and a depth of 1000 mm if the material of the walls of the object is translucent and allows the detection of the power LED light from the exterior through the wall. If this is not possible, we propose the use of a magnetic scale which reduces the working depth to 170 mm. The assessed accuracy is around ±0.15 mm in 2D cross-section reconstructions and ±1.3 mm in 1D position using a magnetic scale, and ±0.5 mm using a CCD camera.

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