Mapping tissue oxygenation in the beating heart with near-infrared spectroscopic imaging

Nighswander-Rempel, Stephen P.; Shaw, R. Anthony; Kupriyanov, V.V.; Rendell, Jennifer M; Xiang, Bo; Mantsch, Henry H.

doi:10.1016/s0924-2031(03)00050-x

Cited by 26 publications

(33 citation statements)

References 22 publications

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“…77 Another approach is to stabilize the tissue and ensure it is rigid and the camera is static. 78 A different methodology is to use white light images for tracking camera and tissue motion and thus to align the multispectral image stack as shown in Fig.…”

Section: Multispectral Imagingmentioning

confidence: 99%

Surgical Vision

Stoyanov

2011

Ann Biomed Eng

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The emergence of Minimal Access Surgery (MAS) as a paradigm in modern healthcare treatment has created new challenges and opportunities for automated image understanding and computer vision. In MAS, images recovered from inside the body using specialized devices are used to visualize and operate on the surgical site but they can also be used to computationally infer in vivo 3D tissue surface shape, soft-tissue morphology, and surgical instrument motion. This information is important for facilitating in vivo biophotonic imaging modalities where the interaction between light and tissue is used to infer the structural and functional properties of the tissue. This article provides a review of the literature for computer vision and image understanding techniques applied to MAS images. The focus of this article is to elucidate a perspective on how computer vision techniques can be used to support and enhance the capabilities of biophotonic imaging modalities during surgery. Note that while MAS encompasses a variety of surgical specializations this review does not involve procedures performed in the interventional suite. The review has been carried out based on searches in the PubMed and IEEE databases using the article's keywords.

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Section: Multispectral Imagingmentioning

confidence: 99%

Surgical Vision

Stoyanov

2011

Ann Biomed Eng

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“…Having demonstrated the general feasibility of cardiac imaging on arrested hearts, the next step was to attempt the same experiments on beating hearts [36]. The experiments were essentially the same as those for arrested hearts; porcine hearts were excised and perfused with the same 50:50 blood:KHB mixture, and the imaging setup was identical.…”

Section: Imaging Of Beating Heartsmentioning

confidence: 99%

Near‐Infrared In Vivo Spectroscopic Imaging: Biomedical Research and Clinical Applications

Shaw

Kupriyanov

Jilkina

et al. 2010

Raman, Infrared, and Near‐Infrared Chemical Imaging

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“…The mapping of subepicardial hemoglobin (Hb) 1 + myoglobin (Mb) oxygenation in pig hearts has been reported using a near-infrared (NIR) spectroscopic imaging technique that, however, does not provide absolute concentrations and is limited to the oxygen saturation parameter (OSP) only [1], [2], [3], [4] and [5]. In spite of these limitations, the efficiency of this approach in cardiac research has been shown to be significant [6], [7] and [8].…”

Section: Article Outlinementioning

confidence: 99%

“…The camera allows imaging with a frame readout time of 536.8 ms in the wavelength range of 200 to 1100 nm. The LCTF works as an electronically activated tunable interference filter in the range of 650 to 1100 nm with a bandwidth of 7 nm and a response time of 150 ms. LCTF-based spectral imaging principles have been reviewed previously [1], [2], [3] and [18].…”

Section: Diffuse Reflectance Imagingmentioning

confidence: 99%