Evaluation of an interactive ultrasound-based breast tumor contouring workflow

Mair, Aniqah T.; Vaughan, Thomas; Ungi, Tamás; Lassó, András; Engel, C. Jay; Rudan, J; Fichtinger, Gabor

doi:10.1117/12.2255978

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…In order to fully automate this method, gathering more cases will allow us to begin leveraging deep learning to automatically segment the vessels from the video [26]. However, the manual segmentation, as is used here, is robust and with the right segmentation software, a manual segmentation can be acquired with only a few strokes [27].…”

Section: Discussionmentioning

confidence: 99%

Determining blood flow direction from short neurovascular surgical microscope videos

Vassallo

Rankin

Lownie

et al. 2019

Healthcare Technology Letters

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Neurovascular surgery aims to repair diseased or damaged blood vessels in the brain or spine. There are numerous procedures that fall under this category, and in all of them, the direction of blood flow through these vessels is crucial information. Current methods to determine this information intraoperatively include static pre-operative images combined with augmented reality, Doppler ultrasound, and injectable fluorescent dyes. Each of these systems has inherent limitations. This study includes the proposal and preliminary validation of a technique to identify the direction of blood flow through vessels using only video segments of a few seconds acquired from routinely used surgical microscopes. The video is enhanced to reveal subtle colour fluctuations related to blood pulsation, and these rhythmic signals are further analysed in Fourier space to reveal the direction of blood flow. The proposed method was validated using a novel physical phantom and retrospective analysis of surgical videos and demonstrated high accuracy in identifying the direction of blood flow.

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Section: Discussionmentioning

confidence: 99%

Determining blood flow direction from short neurovascular surgical microscope videos

Vassallo

Rankin

Lownie

et al. 2019

Healthcare Technology Letters

View full text Add to dashboard Cite

show abstract

“…At the moment, we used manually segmented binary masks to construct the AR view. This is still feasible in the operating room as it can be achieved with a few strokes with suitable segmentation software [18]. However, in the future, as with more surgical cases, we will leverage the power of deep learning [19] to automatically identify the blood vessels from the microscopic view in real‐time.…”

Section: Discussionmentioning

confidence: 99%

Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement

Vassallo

Kasuya

et al. 2018

Healthcare Technology Letters

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Cerebrovascular surgery treats vessel abnormalities in the brain and spinal cord, including arteriovenous malformations (AVMs) and aneurysms. These procedures often involve clipping the vessels feeding blood to these abnormalities, making accurate classification of blood vessel types (feeding versus draining) important during surgery. Previous work to guide the intraoperative identification of the vessels included augmented reality (AR) using pre-operative images, injected dyes, and Doppler ultrasound, but each with their drawbacks. The authors propose and demonstrate a novel technique to help differentiate vessels by enhancing short videos of a few seconds from the surgical microscope using motion magnification and spectral analysis, and constructing AR views that fuse the analysis results as intuitive colourmaps and the surgical microscopic view. They demonstrated the proposed technique retrospectively with two real cerebrovascular surgical cases: one AVM and one aneurysm. The results showed that the proposed technique can help characterise different vessel types (feeding and draining the abnormality), which agree with those identified by the operating surgeon.

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Evaluation of an interactive ultrasound-based breast tumor contouring workflow

Cited by 2 publications

References 4 publications

Determining blood flow direction from short neurovascular surgical microscope videos

Determining blood flow direction from short neurovascular surgical microscope videos

Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement

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