Rectified Surface Mosaics

Carroll, Robert E.; Seitz, Steven M.

doi:10.1007/s11263-009-0264-7

Cited by 12 publications

(10 citation statements)

References 29 publications

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“…A 3D reconstruction using shape from motion of an excavated pig bladder [134]. An unrolled panorama image of the esophagus, based on a cylindrical surface model [36]. A planar panorama image of the larynx, generated with general-purpose stitching software [125].…”

Section: B De-vignettingmentioning

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: B De-vignettingmentioning

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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“…4; 1) image registration and frame-toframe camera motion estimation; 2) global optimization or bundle adjustment where multiple images are registered; and 3) scene reconstruction. Image registration and frame-to-frame motion estimation can be performed in the image space by using direct alignment [53,54,55,56] or in feature space using region matching [57,58,59,60]. Direct alignment uses every pixel in the image and is well suited to environments with sparse regions of interest.…”

Section: Structure From Motionmentioning

confidence: 99%

“…It defines the mathematical relationship between pixels in images captured from different locations. In MIS, planar models have been used on a variety of organs [59,61,62,63,64] (see Table II), cylindrical models for the esophagus and colon [53,54,55,56] and full projective models for the abdomen, colon [57], heart [58] and bladder [60]. The main problem with Structure from Motion is error propagation caused by the frame-to-frame camera motion estimation.…”

Section: Structure From Motionmentioning

confidence: 99%

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Three-Dimensional Tissue Deformation Recovery and Tracking

Mountney

Stoyanov

Yang

2010

IEEE Signal Process. Mag.

171

111

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Recent advances in surgical robotics have provided a platform for extending the current capabilities of minimally invasive surgery by incorporating both pre-operative and intra-operative imaging data. In this tutorial paper, we introduce techniques for in vivo 3D tissue deformation recovery and tracking, based on laparoscopic or endoscopic images. These optically based techniques provide a unique opportunity for recovering surface deformation of the softtissue without the need of additional instrumentation. They can therefore be easily incorporated into the existing surgical workflow. Technically, the problem formulation is challenging due to non-rigid deformation of the tissue and instrument interaction. Current approaches and future research directions in terms of intra-operative planning and adaptive surgical navigation are explained in detail.Index Terms-image-guidance, robotic assisted minimally invasive surgery, 3D deformation recovery.

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“…A panorama reconstruction of the placenta would greatly reduce the chance of complications of the surgery. Panorama reconstruction of internal anatomical structures has found many applications, such as for retina [3], bladder [4] and esophagus [5] reconstruction. However, fetoscopic panorama reconstruction has mostly been done ex-vivo [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Stable Image Registration for In-Vivo Fetoscopic Panorama Reconstruction

et al. 2018

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Abstract:A Twin-to-Twin Transfusion Syndrome (TTTS) is a condition that occurs in about 10% of pregnancies involving monochorionic twins. This complication can be treated with fetoscopic laser coagulation. The procedure could greatly benefit from panorama reconstruction to gain an overview of the placenta. In previous work we investigated which steps could improve the reconstruction performance for an in-vivo setting. In this work we improved this registration by proposing a stable region detection method as well as extracting matchable features based on a deep-learning approach. Finally, we extracted a measure for the image registration quality and the visibility condition. With experiments we show that the image registration performance is increased and more constant. Using these methods a system can be developed that supports the surgeon during the surgery, by giving feedback and providing a more complete overview of the placenta.

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Rectified Surface Mosaics

Cited by 12 publications

References 29 publications

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

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

Three-Dimensional Tissue Deformation Recovery and Tracking

Stable Image Registration for In-Vivo Fetoscopic Panorama Reconstruction

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