Video‐based 3D reconstruction, laparoscope localization and deformation recovery for abdominal minimally invasive surgery: a survey

Lin, Bingxiong; Sun, Yu; Qian, Xiaoning; Goldgof, Dmitry B.; Gitlin, Richard D.; You, Yuncheng

doi:10.1002/rcs.1661

Cited by 71 publications

(39 citation statements)

References 161 publications

(255 reference statements)

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“…However, our findings indicated that laparoscopic surgery for ovarian cysts had less adverse effects than did laparotomy, and could better control the patient’s stress response and protect the patient’s ovarian reserve function. Many studies 25,26 have also reported the advantages of laparoscopic surgery for treating diseases. In a radial operation for carcinoma of the stomach, 27 use of laparoscopy results in less stress and immune responses to patients compared with traditional laparotomy.…”

Section: Discussionmentioning

confidence: 99%

RETRACTED: Improvement and effect of stress responses and ovarian reserve function in patients with ovarian cysts after laparoscopic surgery

Shao

Yang

et al. 2019

J Int Med Res

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Objectives This study aimed to examine improvement and the effect of stress responses and ovarian reserve function in patients with ovarian cysts after laparoscopic surgery. Methods A retrospective analysis was performed on 117 patients with ovarian cysts. Fifty-one patients who were treated with abdominal ovarian cyst dissection were in the control group. Sixty-six patients who were treated with laparoscopic ovarian cyst dissection were in the experimental group. Results Operative conditions and recovery in the experimental group were better than those in the control group. After surgery, changes in most ovarian reserve function indices in the experimental group were significantly less than that in the control group. The maximum diameter of the ovary and the number of antral follicles after surgery were less in the experimental group than in the control group. Changes in stress response indices after surgery were significantly less in the experimental group than in the control group. Conclusions Laparoscopic ovarian cyst surgery may have a relatively small adverse effect on multiple related indices of ovarian reserve function. The patient’s stress response level is also lower after this surgery. Therefore, laparoscopic ovarian cyst surgery is suitable for treating patients with ovarian cysts.

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Section: Discussionmentioning

confidence: 99%

RETRACTED: Improvement and effect of stress responses and ovarian reserve function in patients with ovarian cysts after laparoscopic surgery

Shao

Yang

et al. 2019

J Int Med Res

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“…In 2002, Scharstein and Szeliski [27] introduced a taxonomy and evaluation of two-frame stereo dense matching algorithms, dividing it into four primary steps: Based on the implementation employed in the cost (support) aggregation step, dense matching can be divided into two categories: local algorithms and global algorithms. Local algorithms connect the matching costs within a local neighborhood and select the lowest matching cost as a disparity [30], that is "winner takes all 11 . Global algorithms typically define a global energy function which includes a data term and a smoothness term acting on the whole image instead of local cost aggregations [31].…”

Section: Two-frame Dense Matching In Photogrammetrymentioning

confidence: 99%

“…Applications of 3D information have extended from digital elevation model (DEM) and digital surface model (DSM) generation to many other fields including archeology [1,2], topographic monitoring [3,4], facial geometry and dynamic capture [5,6], cultural heritage protection [7,8], forest and agriculture modeling [9,10], and medical treatment [11]. Since laser scanning can produce highly accurate, reliable, dense, and more integrated 3D point clouds of objects [12], it has been utilized as the preferred technology for 3D modeling over the last two decades.…”

Section: Introductionmentioning

confidence: 99%

A Multi-View Dense Point Cloud Generation Algorithm Based on Low-Altitude Remote Sensing Images

et al. 2016

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This paper presents a novel multi-view dense point cloud generation algorithm based on low-altitude remote sensing images. The proposed method was designed to be especially effective in enhancing the density of point clouds generated by Multi-View Stereo (MVS) algorithms. To overcome the limitations of MVS and dense matching algorithms, an expanded patch was set up for each point in the point cloud. Then, a patch-based Multiphoto Geometrically Constrained Matching (MPGC) was employed to optimize points on the patch based on least square adjustment, the space geometry relationship, and epipolar line constraint. The major advantages of this approach are twofold: (1) compared with the MVS method, the proposed algorithm can achieve denser three-dimensional (3D) point cloud data; and (2) compared with the epipolar-based dense matching method, the proposed method utilizes redundant measurements to weaken the influence of occlusion and noise on matching results. Comparison studies and experimental results have validated the accuracy of the proposed algorithm in low-altitude remote sensing image dense point cloud generation.

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“…In gastroenterology, AI methods have been explored from both the classical model-driven and deep learning paradigms [20]. While the majority of work has focused on the detection or delineation of diseased regions [5,14,27], on the measurement of structural size [10] or the 3D navigation within the endoluminal organs [12,15,25], relatively little research effort has been invested into the classification of different endoscopic viewpoints that need to be viewed to complete an examination.…”

Section: Introductionmentioning

confidence: 99%

Deep learning-based anatomical site classification for upper gastrointestinal endoscopy

Bano

Ahmad

et al. 2020

Int J CARS

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Purpose Upper gastrointestinal (GI) endoscopic image documentation has provided an efficient, low-cost solution to address quality control for endoscopic reporting. The problem is, however, challenging for computer-assisted techniques, because different sites have similar appearances. Additionally, across different patients, site appearance variation may be large and inconsistent. Therefore, according to the British and modified Japanese guidelines, we propose a set of oesophagogastroduodenoscopy (EGD) images to be routinely captured and evaluate its efficiency for deep learning-based classification methods. Methods A novel EGD image dataset standardising upper GI endoscopy to several steps is established following landmarks proposed in guidelines and annotated by an expert clinician. To demonstrate the discrimination of proposed landmarks that enable the generation of an automated endoscopic report, we train several deep learning-based classification models utilising the well-annotated images. Results We report results for a clinical dataset composed of 211 patients (comprising a total of 3704 EGD images) acquired during routine upper GI endoscopic examinations. We find close agreement between predicted labels using our method and the ground truth labelled by human experts. We observe the limitation of current static image classification scheme for EGD image classification. Conclusion Our study presents a framework for developing automated EGD reports using deep learning. We demonstrate that our method is feasible to address EGD image classification and can lead towards improved performance and additionally qualitatively demonstrate its performance on our dataset.

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Video‐based 3D reconstruction, laparoscope localization and deformation recovery for abdominal minimally invasive surgery: a survey

Cited by 71 publications

References 161 publications

RETRACTED: Improvement and effect of stress responses and ovarian reserve function in patients with ovarian cysts after laparoscopic surgery

RETRACTED: Improvement and effect of stress responses and ovarian reserve function in patients with ovarian cysts after laparoscopic surgery

A Multi-View Dense Point Cloud Generation Algorithm Based on Low-Altitude Remote Sensing Images

Deep learning-based anatomical site classification for upper gastrointestinal endoscopy

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