scholarly journals Frame Registration for Motion Compensation in Imaging Photoplethysmography

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4340 ◽  
Author(s):  
Dmitry Iakovlev ◽  
Sijung Hu ◽  
Vincent Dwyer
Keyword(s):  
Image Registration ◽  
Reference Frame ◽  
Motion Compensation ◽  
Evaluation Model ◽  
Region Of Interest ◽  
Multi Stage ◽  
Induced Motion ◽  
Reference Frame Selection ◽  
Imaging Sensors ◽  
Signal Normalization

Imaging photoplethysmography (iPPG) is an emerging technology used to assess microcirculation and cardiovascular signs by collecting backscattered light from illuminated tissue using optical imaging sensors. An engineering approach is used to evaluate whether a silicone cast of a human palm might be effectively utilized to predict the results of image registration schemes for motion compensation prior to their application on live human tissue. This allows us to establish a performance baseline for each of the algorithms and to isolate performance and noise fluctuations due to the induced motion from the temporally changing physiological signs. A multi-stage evaluation model is developed to qualitatively assess the influence of the region of interest (ROI), system resolution and distance, reference frame selection, and signal normalization on extracted iPPG waveforms from live tissue. We conclude that the application of image registration is able to deliver up to 75% signal-to-noise (SNR) improvement (4.75 to 8.34) over an uncompensated iPPG signal by employing an intensity-based algorithm with a moving reference frame.

The Influence of Reference Frame Selection on Spatial Template Construction

1997 ◽  
Vol 37 (3) ◽  
pp. 411-437 ◽  
Author(s):  
Laura A. Carlson-Radvansky ◽  
Gordon D. Logan
Keyword(s):  
Reference Frame ◽  
Frame Selection ◽  
Reference Frame Selection

A Literature Survey of Ultrasound and Computed Tomography-Based Cardiac Image Registration

2015 ◽  
Vol 74 (6) ◽  
Author(s):  
Chieng Thion Ming ◽  
Zaid Omar ◽  
Nasrul Humaimi Mahmood ◽  
Suhaini Kadiman
Keyword(s):  
Computed Tomography ◽  
Image Registration ◽  
Imaging Modality ◽  
User Involvement ◽  
Medical Practitioner ◽  
Literature Survey ◽  
Cardiac Image ◽  
Comprehensive Knowledge ◽  
Visualization Systems ◽  
Imaging Sensors

A literature survey of Ultrasound and Computed Tomography (CT) -based cardiac image registration is presented in this article. We aim to provide the reader with a preliminary discussion into the area of cardiac image registration, as well as to briefly describe the major contributions in the field and present collective and comprehensive knowledge as guidelines for beginners in this field to initiate their research. We also highlight the major challenges where CT and Ultrasound are the modalities concerned in fusion and registration tasks. Further, we found that a majority of research in medical image registration are suitably categorized based on these factors: anatomy, imaging modality and image registration methods. Our focus in the article is on Ultrasound-CT image registration of the heart, where numerous algorithms under this scope have been elaborated. Overall, multimodal cardiac image registration offers great benefit for image visualization systems during surgery. It facilitates accurate alignment of the patient’s heart imagery acquired via different imaging sensors, without extensive user involvement and interception. Through registration, the combined anatomical and functional information from multiple modalities may be derived by the medical practitioner to aid in physiological understanding, disease monitoring, clinical treatment and diagnostic purposes.

scholarly journals Social effects on reference frame selection

2018 ◽  
Vol 25 (6) ◽  
pp. 2339-2345 ◽  
Author(s):  
Jonathan W. Kelly ◽  
Kristi A. Costabile ◽  
Lucia A. Cherep
Keyword(s):  
Reference Frame ◽  
Social Effects ◽  
Frame Selection ◽  
Reference Frame Selection

Inter-view Reference Frame Selection in Multi-view Video Coding

2013 ◽  
Author(s):  
G. Y. Zhang ◽  
A. Abdelazim ◽  
S. J. Mein ◽  
M. R. Varley ◽  
D. Ait-Boudaoud
Keyword(s):  
Video Coding ◽  
Reference Frame ◽  
Frame Selection ◽  
Reference Frame Selection

Image-guided vascular neurosurgery based on three-dimensional rotational angiography

2007 ◽  
Vol 106 (3) ◽  
pp. 501-506 ◽  
Author(s):  
Peter W. A. Willems ◽  
Theo Van Walsum ◽  
Peter A. Woerdeman ◽  
Everine B. Van De Kraats ◽  
Gerard A. P. De Kort ◽  
...  
Keyword(s):  
Image Registration ◽  
Navigation System ◽  
Three Dimensional ◽  
Region Of Interest ◽  
Small Region ◽  
Rotational Angiography ◽  
Vascular Tree ◽  
Data Set ◽  
3D Rotational Angiography ◽  
Vascular Neurosurgery

✓Three-dimensional rotational angiography is capable of exquisite visualization of cerebral blood vessels and their pathophysiology. Unfortunately, images obtained using this modality typically show a small region of interest without exterior landmarks to allow patient-to-image registration, precluding their use for neuronavigation purposes. The aim of this study was to find an alternative technique to enable 3D rotational angiography–guided vascular neurosurgery. Three-dimensional rotational angiograms were obtained in an angiographic suite with direct navigation capabilities. After image acquisition, a navigated pointer was used to touch fiducial positions on the patient's head. These positions were located outside the image volume but could nevertheless be transformed into image coordinates and stored in the navigation system. Prior to surgery, the data set was transferred to the navigation system in the operating room, and the same fiducial positions were touched again to complete the patient-to-image registration. This technique was tested on a Perspex phantom representing the cerebral vascular tree and on two patients with an intracranial aneurysm. In both the phantom and patients, the neuronavigation system provided 3D images representing the vascular tree in its correct orientation, that is, the orientation seen by the neurosurgeon through the microscope. In one patient, tissue shift was clearly observed without significant changes in the orientation of the structures. Results in this study demonstrate the feasibility of using 3D rotational angiography data sets for neuronavigation purposes. Determining the benefit of this type of navigation should be the subject of future studies.

Sign in / Sign up

Export Citation Format

Share Document