Evidence map›Paper›PMID 37900192›Full record

ArticleProceedings of IEEE Southeastcon. IEEE Southeastcon2023

Specular Reflection Removal for 3D Reconstruction of Tissues using Endoscopy Videos.

Muhammad Emaduddin, Tansel Halic, Doga Demirel, Coskun Bayrak, Venkata S Arikatla, Suvranu De

Open access · greenAbstract read
In one paragraph

Article in Proceedings of IEEE Southeastcon. IEEE Southeastcon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 2 countries.

Muhammad EmaduddinDepartment of Computer Science and Engineering, Texas A&M University, College Station, Texas.
Tansel HalicIntuitive Surgical, Peachtree Corners, Georgia.
Doga DemirelDepartment of Computer Science, Florida Polytechnic University, Lakeland, Florida.
Coskun BayrakDepartment of Computer Science, Youngstown State University, Youngstown, OH.
Venkata S ArikatlaKitware, Inc., Carrboro, North Carolina.
Suvranu DeCollege of Engineering, Florida A&M University - Florida State University, Tallahassee, Florida.
Florida A&M University - Florida State University College of Engineering · USFlorida Polytechnic University · USIntuitive Surgical (United States) · USKitware (United States) · USTexas A&M University · USYoungstown State University · US

Funding

Understanding Hesitant AdoptersP20GM103429 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI Lawrence E Cornett, JERRY WARE · 2012 to 2026
$60.9M
Physically Realistic Virtual SurgeryR01EB005807 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU, JACKSON, CULLEN DAVIS · 2006 to 2024
$7.0M
Development and validation of a Virtual Colorectal Surgical Trainer (VCoST)R01EB025241 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU · 2018 to 2022
$2.7M
Development and Validation of a Virtual Bariatric Endoscopic (ViBE) simulatorR01EB033674 · NIBIB · FLORIDA AGRICULTURAL AND MECHANICAL UNIV · PI DE, SUVRANU · 2022 to 2024
$1.6M
NIBIB NIH HHS R01 EB005807NIBIB NIH HHS R01 EB025241NIBIB NIH HHS R01 EB033674NIGMS NIH HHS P20 GM103429
6 · The paper itself

Abstract

Endoscopy is widely employed for diagnostic examination of the interior of organs and body cavities and numerous surgical interventions. Still, the inability to correlate individual 2D images with 3D organ morphology limits its applications, especially in intra-operative planning and navigation, disease physiology, cancer surveillance, etc. As a result, most endoscopy videos, which carry enormous data potential, are used only for real-time guidance and are discarded after collection. We present a complete method for the 3D reconstruction of inner organs that suggests image extraction techniques from endoscopic videos and a novel image pre-processing technique to reconstruct and visualize a 3D model of organs from an endoscopic video. We use advanced computer vision methods and do not require any modifications to the clinical-grade endoscopy hardware. We have also formalized an image acquisition protocol through experimentation with a calibrated test bed. We validate the accuracy and robustness of our reconstruction using a test bed with known ground truth. Our method can significantly contribute to endoscopy-based diagnostic and surgical procedures using comprehensive tissue and tumor 3D visualization.

Indexed as

3D mapping3D reconstructionEndoscopyGI tractspecular reflection removaltissue

Identifiers

PMID37900192
PMCPMC10603791
OpenAlexW4375853892

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.