Ultrasound based Real-Time, Guided Surgery for Treating Hydrocephalus: Prototype Implementation and Evaluation

Author(s):  
Aheesh Kadayarapanahalli Narasimhappa ◽  
Subhajit Sen ◽  
Vikas Vazhayil
2017 ◽  
Vol 127 (10) ◽  
pp. E347-E353
Author(s):  
Reza Tabanfar ◽  
Jimmy Qiu ◽  
Harley Chan ◽  
Niousha Aflatouni ◽  
Robert Weersink ◽  
...  

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e11591-e11591
Author(s):  
S. Troyan ◽  
S. Gibbs-Strauss ◽  
S. Gioux ◽  
R. Oketokoun ◽  
F. Azar ◽  
...  

e11591 Background: Breast cancer surgery is presently performed without real-time image-guidance. We have developed a novel optical imaging system for image-guided surgery that uses invisible near-infrared (NIR) fluorescent light to highlight structures on the surgical field with high sensitivity, specificity, and contrast. We have also performed the first human clinical trial of the imaging system in women undergoing SLN mapping for breast cancer. Methods: We used a portable imaging system with an articulating arm that has 6 degrees of freedom, high power LED light source, custom optics, custom software, and sterile drape. The imaging system provided simultaneous and real-time imaging of color video and NIR fluorescence at up to 15 frames per second. N = 6 women with biopsy- confirmed breast cancer undergoing SLN mapping gave informed consent. All subjects received conventional mapping with Tc-99m sulfur colloid using a handheld gamma probe as well as NIR fluorescence-guided SLN mapping using a mixture of indocyanine green (ICG) diluted to a final concentration of 10 μM in human serum albumin (ICG:HSA). Results: The imaging system was easy to position in the operating room, with the articulating arm providing 50” horizontal reach and 70” vertical reach. Working distance to the patient was 18”. NIR fluorescence excitation was 20 mW/cm2 at 760 nm. NIR-depleted white light was 40,000 lux. A total of 1.6 ml of ICG:HSA was injected intra-tumorally and peri-tumorally and the site massaged for 5 min. 8 of 9 SLNs identified by Tc- 99m sulfur colloid were also identified by NIR fluorescence. However, NIR fluorescence identified an SLN, confirmed to have cancer in it, that was not identified by Tc-99m sulfur colloid. These differences were consistent with asynchrony in the injection techniques. Unlike the gamma-ray probe, NIR fluorescence provided high-resolution, large area optical imaging of the surgical field, and helped guide surgical resection. Conclusions: In this 6-patient pilot study, a novel NIR fluorescence optical imaging system was used for the first time, and provided real-time image-guided surgery for SLN mapping of breast cancer. No significant financial relationships to disclose.


2016 ◽  
Vol 41 (6) ◽  
pp. 1173 ◽  
Author(s):  
Nikolas Dimitriadis ◽  
Bartłomiej Grychtol ◽  
Lars Maertins ◽  
Tobias Behr ◽  
George Themelis ◽  
...  

2010 ◽  
Vol 183 (4S) ◽  
Author(s):  
Naoki Hirahara ◽  
Osamu Ukimura ◽  
Atsuko Fujihara ◽  
Tsuyoshi Iwata ◽  
Koji Okihara ◽  
...  

2016 ◽  
Vol 57 (9) ◽  
pp. OCT37 ◽  
Author(s):  
Oscar M. Carrasco-Zevallos ◽  
Brenton Keller ◽  
Christian Viehland ◽  
Liangbo Shen ◽  
Michael I. Seider ◽  
...  

1994 ◽  
Vol 1 (45) ◽  
Author(s):  
Jørgen H. Andersen

This paper presents a method for automatically constructing real time systems directly from their specifications. The model-construction problem is considered for implicit specifications of the form: <br />(A_1 | . . . | A_n | X) sat S <br /> where S is a real time (logical) specification, A_1, ... , A_n are given (regular) timed agents and the problem is to decide whether there exists (and if possible exhibit) a real time agent X which when put in parallel with A_1, ..., A_n will yield a network satisfying S. The method presented proceeds in two steps: first, the implicit specification of X is transformed into an equivalent direct specification of X; second, a model for this direct specification is constructed (if possible) using a direct model construction algorithm. A prototype implementation of our method has been added to the real time verification tool EPSILON.


2015 ◽  
Vol 20 (9) ◽  
pp. 096010 ◽  
Author(s):  
Nan Zhu ◽  
Chih-Yu Huang ◽  
Suman Mondal ◽  
Shengkui Gao ◽  
Chongyuan Huang ◽  
...  

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