Preliminary Study of the Intel RealSense D415 Camera for Monitoring Respiratory Like Motion of an Irregular Surface

Fielding, Andrew; Pandey, Ajay K.; Jonmohamadi, Yaqub; Via, Riccardo; Weber, Damien Charles; Lomax, Anthony; Fattori, Giovanni

doi:10.1109/jsen.2020.2993264

Cited by 3 publications

(1 citation statement)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2020, Andrew L. Fielding et al [ 31 ] investigated the applicability and performance of the Intel RealSense TM D415 depth camera as a tool for measuring respiratory movements on the body’s surface. The accuracy of the camera depth data was characterized by the measurement distance, which ranged from a stationary surface to 1.2 m. The delay of the camera system was also measured.…”

Section: Resultsmentioning

confidence: 99%

Current Research Status of Respiratory Motion for Thorax and Abdominal Treatment: A Systematic Review

Wu,

Wang,

Chu

et al. 2024

Biomimetics

View full text Add to dashboard Cite

Malignant tumors have become one of the serious public health problems in human safety and health, among which the chest and abdomen diseases account for the largest proportion. Early diagnosis and treatment can effectively improve the survival rate of patients. However, respiratory motion in the chest and abdomen can lead to uncertainty in the shape, volume, and location of the tumor, making treatment of the chest and abdomen difficult. Therefore, compensation for respiratory motion is very important in clinical treatment. The purpose of this review was to discuss the research and development of respiratory movement monitoring and prediction in thoracic and abdominal surgery, as well as introduce the current research status. The integration of modern respiratory motion compensation technology with advanced sensor detection technology, medical-image-guided therapy, and artificial intelligence technology is discussed and analyzed. The future research direction of intraoperative thoracic and abdominal respiratory motion compensation should be non-invasive, non-contact, use a low dose, and involve intelligent development. The complexity of the surgical environment, the constraints on the accuracy of existing image guidance devices, and the latency of data transmission are all present technical challenges.

show abstract

Section: Resultsmentioning

confidence: 99%

Current Research Status of Respiratory Motion for Thorax and Abdominal Treatment: A Systematic Review

Wu,

Wang,

Chu

et al. 2024

Biomimetics

View full text Add to dashboard Cite

show abstract

Liver respiratory-induced motion estimation using abdominal surface displacement as a surrogate: robotic phantom and clinical validation with varied correspondence models

Cordón Avila,

Abayazid

2024

Int J CARS

View full text Add to dashboard Cite

Purpose This work presents the implementation of an RGB-D camera as a surrogate signal for liver respiratory-induced motion estimation. This study aims to validate the feasibility of RGB-D cameras as a surrogate in a human subject experiment and to compare the performance of different correspondence models. Methods The proposed approach uses an RGB-D camera to compute an abdominal surface reconstruction and estimate the liver respiratory-induced motion. Two sets of validation experiments were conducted, first, using a robotic liver phantom and, secondly, performing a clinical study with human subjects. In the clinical study, three correspondence models were created changing the conditions of the learning-based model. Results The motion model for the robotic liver phantom displayed an error below 3 mm with a coefficient of determination above 90% for the different directions of motion. The clinical study presented errors of 4.5, 2.5, and 2.9 mm for the three different motion models with a coefficient of determination above 80% for all three cases. Conclusion RGB-D cameras are a promising method to accurately estimate the liver respiratory-induced motion. The internal motion can be estimated in a non-contact, noninvasive and flexible approach. Additionally, three training conditions for the correspondence model are studied to potentially mitigate intra- and inter-fraction motion.

show abstract

Comparison of Blind Source Separation Techniques for Respiration Rate Estimation from Depth Video

Mozafari

Law

Djouaka

et al. 2022

2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

View full text Add to dashboard Cite

Preliminary Study of the Intel RealSense D415 Camera for Monitoring Respiratory Like Motion of an Irregular Surface

Cited by 3 publications

References 43 publications

Current Research Status of Respiratory Motion for Thorax and Abdominal Treatment: A Systematic Review

Current Research Status of Respiratory Motion for Thorax and Abdominal Treatment: A Systematic Review

Liver respiratory-induced motion estimation using abdominal surface displacement as a surrogate: robotic phantom and clinical validation with varied correspondence models

Comparison of Blind Source Separation Techniques for Respiration Rate Estimation from Depth Video

Contact Info

Product

Resources

About