Optics based signal processing methods for intraoperative blood vessel detection and quantification in real time (Conference Presentation)

2016 ◽  
Author(s):  
Amal Chaturvedi ◽  
Shetha A. Shukair ◽  
Paul Le Rolland ◽  
Mayank Vijayvergia ◽  
Hariharan Subramanian ◽  
...  
Keyword(s):  
Signal Processing ◽  
Blood Vessel ◽  
Real Time ◽  
Processing Methods ◽  
Blood Vessel Detection ◽  
Vessel Detection ◽  
Signal Processing Methods ◽  
Detection And Quantification

scholarly journals A 3-D moment based approach for blood vessel detection and quantification in MRA

1993 ◽  
Vol 1 (2) ◽  
pp. 181-188 ◽  
Author(s):  
P. Reuzé ◽  
J.L. Coatrieux ◽  
L.M. Luo ◽  
J.L. Dillenseger
Keyword(s):  
Blood Vessel ◽  
Blood Vessel Detection ◽  
Vessel Detection ◽  
Detection And Quantification

scholarly journals An Approach for Real-time Levee Health Monitoring Using Signal Processing Methods

2013 ◽  
Vol 18 ◽  
pp. 2357-2366 ◽  
Author(s):  
Alexander L. Pyayt ◽  
Alexey P. Kozionov ◽  
Ilya I. Mokhov ◽  
Bernhard Lang ◽  
Valeria V. Krzhizhanovskaya ◽  
...  
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Health Monitoring ◽  
Processing Methods ◽  
Signal Processing Methods

scholarly journals Intraoperative blood vessel detection and quantification: a Monte Carlo study

2018 ◽  
Vol 23 (06) ◽  
pp. 1 ◽  
Author(s):  
Amal Chaturvedi ◽  
Shetha A. Shukair ◽  
Mayank Vijayvergia ◽  
Paul Le Rolland ◽  
Jonathan W. Gunn ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Blood Vessel ◽  
Monte Carlo Study ◽  
Blood Vessel Detection ◽  
Vessel Detection ◽  
Detection And Quantification

220 A Stereotactic Brain Biopsy Needle Integrating an Optical Coherence Tomography (OCT) Probe with Blood Vessel Detection in Human Patients

Neurosurgery ◽  
2017 ◽  
Vol 64 (CN_suppl_1) ◽  
pp. 260-260
Author(s):  
Hari H Ramakonar
Keyword(s):  
Optical Coherence Tomography ◽  
Blood Vessel ◽  
Blood Vessels ◽  
Real Time ◽  
Brain Biopsy ◽  
Optical Coherence ◽  
Stereotactic Brain Biopsy ◽  
Biopsy Needle ◽  
Blood Vessel Detection ◽  
Vessel Detection

Abstract INTRODUCTION Stereotactic brain biopsies are a common neurosurgical procedure used predominantly to obtain histological diagnosis of brain pathologies. Intracranial haemorrhage is the most frequent complication related to this procedure and is associated with increased morbidity and mortality. We present a pilot study investigating a customised miniature Optical Coherence Tomography (OCT) probe integrated into a commercial stereotactic brain biopsy needle. OCT is a high-resolution optical imaging modality that uses reflections of low-power, near-infrared light to characterise tissue. The probe is combined with fully automated blood vessel detection software based on speckle decorrelation to provide real-time feedback as the needle tip encounters a blood vessel. METHODS We demonstrate the use of such a needle intraoperatively for the first time in humans. A total of 167 superficial blood vessel and control measurements were obtained in 11 patients undergoing craniotomies for various pathologies. Deep blood vessel measurements were also acquired in 3 patients. Superficial blood vessel measurements were obtained by directly placing the probe over cortical vessels exposed during craniotomy and validated against intraoperative photographs. Deep vessels were targeted using preoperative MRI and frameless stereotactic surgical navigation. RESULTS >For the superficial vessel measurements, the probe demonstrated a sensitivity of >88% and specificity >98% for the detection of blood vessels >500microns in diameter. For the deep vessel measurements, the probe was able to detect a blood vessel appropriately on all three occasions. CONCLUSION This pioneering study demonstrates OCT detection of blood vessels in human patients in real-time, integrated with current Neurosurgical practices. This work opens the possibilities of further studies using OCT to detect blood vessels in probe based Neurosurgery to minimise the risk of haemorrhage from such procedures.

A Comparative Study of Different Blood Vessel Detection on Retinal Images

2019 ◽  
Vol 11 (4) ◽  
Author(s):  
Wan Azani Mustafa ◽  
◽  
Ahmad Syauqi Mahmud ◽  
Muhammad Zaid Aihsan ◽  
M. Saifizi ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Comparative Study ◽  
Retinal Images ◽  
Blood Vessel Detection ◽  
Vessel Detection
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