A Comparative Study of Correspondence-Search Algorithms in MIS Images

Puerto, Gustavo; Mariottini, Gian-Luca

doi:10.1007/978-3-642-33418-4_77

Cited by 9 publications

(9 citation statements)

References 19 publications

(32 reference statements)

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“…e.g. [19]) can be used just as effectively. The seed points are then processed to generate a semi-dense disparity map by exploiting the fact that points in the neighborhood of an already assigned pixel should correspond to a pixel close to that point's corresponding pixel.…”

Section: A Stereoscopymentioning

confidence: 99%

Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction

Maier-Hein

Groch

Bartoli

et al. 2014

IEEE Trans. Med. Imaging

103

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Abstract-Intra-operative imaging techniques for obtaining the shape and morphology of soft-tissue surfaces in vivo are a key enabling technology for advanced surgical systems. Different optical techniques for 3D surface reconstruction in laparoscopy have been proposed, however, so far no quantitative and comparative validation has been performed. Furthermore, robustness of the methods to clinically important factors like smoke or bleeding has not yet been assessed. To address these issues, we have formed a joint international initiative with the aim of validating different state-of-the-art passive and active reconstruction methods in a comparative manner. In this comprehensive in vitro study, we investigated reconstruction accuracy using different organs with various shape and texture and also tested reconstruction robustness with respect to a number of factors like the pose of the endoscope as well as the amount of blood or smoke present in the scene. The study suggests complementary advantages of the different techniques with respect to accuracy, robustness, point density, hardware complexity and computation time. While reconstruction accuracy under ideal conditions was generally high, robustness is a remaining issue to be addressed. Future work should include sensor fusion and in vivo validation studies in a specific clinical context.

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Section: A Stereoscopymentioning

confidence: 99%

Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction

Maier-Hein

Groch

Bartoli

et al. 2014

IEEE Trans. Med. Imaging

103

View full text Add to dashboard Cite

show abstract

“…To validate our new method for reference correspondence generation, we used a publically available data set 3 [18] to generate several validation data sets ("Data acquisition" section) and assessed the accuracy of the raw crowd annotation ("Accuracy of raw annotations" section), as well as the accuracy after clustering ("Accuracy after clustering" section) and after outlier removal ("Accuracy after outlier removal" section). We then applied the method to a new data set comprising 100 pairs of stereo images, as described in "New data set generation" section.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…Data Set I: To assess the accuracy of correspondences established by the crowd, the data annotation tool, introduced in "Crowd-based correspondence search" section, was used to generate 100 different HITs using the first N C = 10 correspondences of each image pair in the publically available data set [18] of N KW I = 100 images. For each of the N KW I · N C = 1000 different correspondences, N KW U = 10 annotations were requested (i.e., HITs repeated by 10 users), leading to n = 10, 000 annotations in total, acquired in February 2014.…”

Section: Data Acquisitionmentioning

confidence: 99%

Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences

et al. 2015

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“…In Giannarou et al (2013), anisotropic regions are tracked using Extended Kalman Filters and tested on in vivo robotic-assisted MIS procedures. Puerto et al (2012) compared several feature matching algorithms over a large annotated surgical data set of 100 MIS image-pairs. In this paper, we perform salient feature point matching between two consecutive image frames of the video to compute the magnification factor.…”

Section: Methodsmentioning

confidence: 99%

Persistent and automatic intraoperative 3D digitization of surfaces under dynamic magnifications of an operating microscope

Kumar

Miga

Pheiffer

et al. 2015

Medical Image Analysis

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One of the major challenges impeding advancement in image-guided surgical (IGS) systems is the soft-tissue deformation during surgical procedures. These deformations reduce the utility of the patient’s preoperative images and may produce inaccuracies in the application of preoperative surgical plans. Solutions to compensate for the tissue deformations include the acquisition of intraoperative tomographic images of the whole organ for direct displacement measurement and techniques that combines intraoperative organ surface measurements with computational biomechanical models to predict subsurface displacements. The later solution has the advantage of being less expensive and amenable to surgical workflow. Several modalities such as textured laser scanners, conoscopic holography, and stereo-pair cameras have been proposed for the intraoperative 3D estimation of organ surfaces to drive patient-specific biomechanical models for the intraoperative update of preoperative images. Though each modality has its respective advantages and disadvantages, stereo-pair camera approaches used within a standard operating microscope is the focus of this article. A new method that permits the automatic and near real-time estimation of 3D surfaces (at 1Hz) under varying magnifications of the operating microscope is proposed. This method has been evaluated on a CAD phantom object and on full-length neurosurgery video sequences (~1 hour) acquired intraoperatively by the proposed stereovision system. To the best of our knowledge, this type of validation study on full-length brain tumor surgery videos has not been done before. The method for estimating the unknown magnification factor of the operating microscope achieves accuracy within 0.02 of the theoretical value on a CAD phantom and within 0.06 on 4 clinical videos of the entire brain tumor surgery. When compared to a laser range scanner, the proposed method for reconstructing 3D surfaces intraoperatively achieves root mean square errors (surface-to-surface distance) in the 0.28-0.81mm range on the phantom object and in the 0.54-1.35mm range on 4 clinical cases. The digitization accuracy of the presented stereovision methods indicate that the operating microscope can be used to deliver the persistent intraoperative input required by computational biomechanical models to update the patient’s preoperative images and facilitate active surgical guidance.

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A Comparative Study of Correspondence-Search Algorithms in MIS Images

Cited by 9 publications

References 19 publications

Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction

Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction

Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences

Persistent and automatic intraoperative 3D digitization of surfaces under dynamic magnifications of an operating microscope

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