Real-time video mosaicing with a high-resolution microendoscope

Bedard, Noah; Quang, Timothy; Schmeler, Kathleen M.; Richards‐Kortum, Rebecca; Tkaczyk, Tomasz S.

doi:10.1364/boe.3.002428

Cited by 61 publications

(50 citation statements)

References 11 publications

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“…It is unequivocal that the information obtained from a static miniprobe will not be truly representative of the corresponding tissue surface as adjacently placed cancer cells could easily be missed if they are not brought to the surgeon's view. A potential solution to this is to increase the field-of-view obtained by stitching adjacent image frames together as the probe is moved across the tissue surface, a technique known as mosaicing [45][46][47][48][49]. However, this is often difficult to translate the probe tip over the tissue in a smooth and precisely controlled fashion with conventional controls of endoscope.…”

Section: Technical Challengesmentioning

confidence: 99%

Endomicroscopy for Computer and Robot Assisted Intervention

Zuo

Yang

2017

IEEE Rev. Biomed. Eng.

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Abstract-Endomicroscopy is a new technique that allows human tissue to be characterized in vivo, and in situ, circumventing the need for conventional biopsy and histology. Despite increased application and growing research interests in this area, the clinical application of endomicroscopy, however, is limited by difficulties in ergonomic control, consistent probe-tissue contact, large area surveillance and retargeting. Recently, advances in high-speed imaging, mosaicing and robotics have aimed to address these difficulties. The development of robot-assisted devices in particular has shown great promises in extending the clinical potential of endomicroscopy. Issues related to miniaturization, adaptation to tissue deformation, control stability, force and position compensation, cost and sterility are being pursued by both research and commercial communities. In this paper, recent clinical and technical developments in different aspects of computer and robotic assisted endomicroscopy interventions including instrumentation, multiscale integration, and high-speed imaging techniques are presented. We further address emerging trends and new research opportunities towards more widespread clinical acceptance of robotically assisted endomicroscopy technologies.

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Section: Technical Challengesmentioning

confidence: 99%

Endomicroscopy for Computer and Robot Assisted Intervention

Zuo

Yang

2017

IEEE Rev. Biomed. Eng.

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“…In the future, mosaicking could be implemented to acquire HRME images from a larger field of view in the ROI, reducing the chance of missing focal lesions (Bedard et al, 2012). All four of the sites (100%) classified as CIN2 by one pathologist and CIN3 by another pathologist were classified as neoplastic according to the HRME algorithm.…”

Section: Discussionmentioning

confidence: 99%

High-resolution microendoscopy: a point-of-care diagnostic for cervical dysplasia in low-resource settings

Grant

Fregnani²,

Possati-Resende³

et al. 2017

European Journal of Cancer Prevention

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Cervical cancer is the third leading cause of cancer-related death among women in low-to-middle income countries. Pap testing and pathological services are difficult to implement under these settings. Alternative techniques for the diagnosis of cervical precancer in these settings are needed to reduce the burden of the disease. The objective of this study was to evaluate the diagnostic accuracy of a low-cost, high-resolution microendoscope imaging system in identifying precancerous lesions of the cervix in vivo. A retrospective study of 59 patients undergoing colposcopy for an abnormal Pap test was performed at Hospital de Câncer de Barretos in Brazil. All patients underwent colposcopy as per standard of care, and acetowhite lesions were recorded. High-resolution microendoscopy (HRME) images were obtained from one colposcopically normal region and from all lesions observed on colposcopy. Biopsies of abnormal areas were obtained and reviewed by three independent, blinded pathologists and compared with HRME findings. The mean nuclear area and the median nuclear eccentricity were calculated from HRME images acquired from each site. A diagnostic algorithm to distinguish histopathologically diagnosed cervical intraepithelial neoplasias of grade 2 or more severe lesions (high grade) from less severe lesions (low grade) was developed using these parameters. A test of trend was used to analyze the relationship between HRME positivity and severity of histopathogical diagnosis. Fisher's exact test was used to analyze differences in HRME positivity between high-grade and low-grade lesions. Evaluable images were obtained from 108 of 143 discrete sites. Of these, 71 sites were colposcopically normal or low grade according to histopathology and 37 were diagnosed as high grade on the basis of histopathology. Using the mean nuclear area and the median nuclear eccentricity, HRME images from 59 colposcopically abnormal sites were classified as high grade or low grade with 92% sensitivity and 77% specificity compared with histopathological findings. Increasing HRME positivity showed a significant trend with increasing severity of diagnosis (Ptrend<0.001). We found a strong association (P<0.001) between HRME positivity and a histopathological diagnosis of cervical intraepithelial neoplasia of grade 2 or higher. HRME demonstrated an accurate in-situ diagnosis of high-grade dysplasia. In low-resource settings in which colposcopy and histopathology services are severely limited or unavailable, HRME may provide a low-cost, accurate method for diagnosis of cervical precancer without the need for biopsy, allowing for a single 'screen-and-treat' approach.

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“…To compare signal and background intensity in DSIMe and widefield images, line scans were plotted across the same location in widefield and DSIMe images in images of mouse tissue. To remove the fixed pattern associated with the fiber bundle, a fiber core removal algorithm was used (35). In brief, the algorithm interpolates the pixel intensity of the fiber cladding based on the pixel intensities within the fiber core.…”

Section: Methodsmentioning

confidence: 99%

Differential structured illumination microendoscopy for in vivo imaging of molecular contrast agents

Keahey

Ramalingam

Schmeler

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

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Fiber optic microendoscopy has shown promise for visualization of molecular contrast agents used to study disease in vivo. However, fiber optic microendoscopes have limited optical sectioning capability, and image contrast is limited by out-of-focus light generated in highly scattering tissue. Optical sectioning techniques have been used in microendoscopes to remove out-of-focus light but reduce imaging speed or rely on bulky optical elements that prevent in vivo imaging. Here, we present differential structured illumination microendoscopy (DSIMe), a fiber optic system that can perform structured illumination in real time for optical sectioning without any opto-mechanical components attached to the distal tip of the fiber bundle. We demonstrate the use of DSIMe during in vivo fluorescence imaging in patients undergoing surgery for cervical adenocarcinoma in situ. Images acquired using DSIMe show greater contrast than standard microendoscopy, improving the ability to detect cellular atypia associated with neoplasia.

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Real-time video mosaicing with a high-resolution microendoscope

Cited by 61 publications

References 11 publications

Endomicroscopy for Computer and Robot Assisted Intervention

Endomicroscopy for Computer and Robot Assisted Intervention

High-resolution microendoscopy: a point-of-care diagnostic for cervical dysplasia in low-resource settings

Differential structured illumination microendoscopy for in vivo imaging of molecular contrast agents

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