Super-resolution and deblurring enhancement for narrow band imaging bronchoscopy

Daneshpajooh, Vahid; Bandyopadhyay, Saptarashmi; Ahmad, Danish; Toth, Jennifer; Bascom, Rebecca; Higgins, William E.

doi:10.1117/12.2579922

Cited by 3 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, Sec. 3.4 illustrates an application of the complete two-stage method to the analysis of the NBI airway exams of two lung-cancer patients, within the context of a complete NBI video analysis system under development 48 …”

Section: Resultsmentioning

confidence: 99%

“…Regarding the construction of the 600-frame dataset and the subsequent ground truth annotations of the selected video frames, one experienced observer carefully reviewed each of the 13 airway exam videos to locate candidate bronchial lesions, using the long established Shibuya descriptors 8 , 11 , 47 . After locating a lesion, the observer focused their attention on the video subsequence depicting the lesion to select a video frame (or frames when more than one frame was selected) deemed to have sufficiently clear indications of the lesion; no effort was made to select the “best view” for any lesion.…”

Section: Resultsmentioning

confidence: 99%

“…Figures 10 and 11 give examples of our complete two-stage lesion detection method applied to the complete airway exam videos from two patient studies, as produced by our NBI video analysis system 48 . We note that no data in these two patient studies had been seen previously by our method.…”

Section: Resultsmentioning

confidence: 99%

“…Section 3 next presents test results, based on the lung cancer patient dataset, illustrating the efficacy and real-time efficiency of our method. Notably, we illustrate the functionality of the method in an interactive system for real-time analysis of NBI bronchoscopic video under the development in our laboratory 48 . Overall, this study shows the potential of our method for facilitating more routine use of NBI bronchoscopy for early bronchial lesion detection.…”

Section: Introductionmentioning

confidence: 80%

“…(A small exception is the 76-frame NBI bronchoscopy dataset used by Dumas et al. for training physicians in identifying bronchial lesions in single video frames, 11 which we have employed in recent collaborative work with these investigators 47 …”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Automatic lesion detection for narrow-band imaging bronchoscopy

Daneshpajooh,

Ahmad,

Toth

et al. 2024

J. Med. Imag.

View full text Add to dashboard Cite

Early detection of cancer is crucial for lung cancer patients, as it determines disease prognosis. Lung cancer typically starts as bronchial lesions along the airway walls. Recent research has indicated that narrow-band imaging (NBI) bronchoscopy enables more effective bronchial lesion detection than other bronchoscopic modalities. Unfortunately, NBI video can be hard to interpret because physicians currently are forced to perform a time-consuming subjective visual search to detect bronchial lesions in a long airway-exam video. As a result, NBI bronchoscopy is not regularly used in practice. To alleviate this problem, we propose an automatic two-stage realtime method for bronchial lesion detection in NBI video and perform a first-of-its-kind pilot study of the method using NBI airway exam video collected at our institution.Approach: Given a patient's NBI video, the first method stage entails a deeplearning-based object detection network coupled with a multiframe abnormality measure to locate candidate lesions on each video frame. The second method stage then draws upon a Siamese network and a Kalman filter to track candidate lesions over multiple frames to arrive at final lesion decisions.Results: Tests drawing on 23 patient NBI airway exam videos indicate that the method can process an incoming video stream at a real-time frame rate, thereby making the method viable for real-time inspection during a live bronchoscopic airway exam. Furthermore, our studies showed a 93% sensitivity and 86% specificity for lesion detection; this compares favorably to a sensitivity and specificity of 80% and 84% achieved over a series of recent pooled clinical studies using the current timeconsuming subjective clinical approach. Conclusion:The method shows potential for robust lesion detection in NBI video at a real-time frame rate. Therefore, it could help enable more common use of NBI bronchoscopy for bronchial lesion detection.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Automatic lesion detection for narrow-band imaging bronchoscopy

Daneshpajooh,

Ahmad,

Toth

et al. 2024

J. Med. Imag.

View full text Add to dashboard Cite

show abstract

Advances of surgical robotics: image-guided classification and application

Li,

Zhang,

Zhao

et al. 2024

National Science Review

View full text Add to dashboard Cite

Surgical robotics application in the field of minimally invasive surgery has developed rapidly and has been attracting increasingly more research attention in recent years. A common consensus has been reached that surgical procedures are to become less traumatic and with the implementation of more intelligence and higher autonomy, which is a serious challenge faced by the environmental sensing capabilities of robotic systems. One of the main sources of environmental information for robots are images, which are the basis of robot vision. In this review article, we have divided clinical image into direct and indirect based on the object of information acquisition, and into continuous, intermittent continuous and discontinuous according to the target-tracking frequency. The characteristics and applications of the existing surgical robots in each category are introduced based on these two dimensions. Our purpose of conducting this review was to analyze, summarize, and discuss the current evidence on the general rules on the application of the image technologies for medical purpose. Our analysis insights and provides guidance conducive to the development of more advanced surgical robotics systems in the future.

show abstract

Dynamic Depth-Aware Network for Endoscopy Super-Resolution

Chen

Liu

et al. 2022

IEEE J. Biomed. Health Inform.

View full text Add to dashboard Cite

Super-resolution and deblurring enhancement for narrow band imaging bronchoscopy

Cited by 3 publications

References 0 publications

Automatic lesion detection for narrow-band imaging bronchoscopy

Automatic lesion detection for narrow-band imaging bronchoscopy

Advances of surgical robotics: image-guided classification and application

Dynamic Depth-Aware Network for Endoscopy Super-Resolution

Contact Info

Product

Resources

About