Nanyang Technological University

Pedra Technology Pte Ltd

Siemens Aktiengesellschaft

Kijoon Lee

Renzhe Bi

Jing Dong

Fred S Azar

Justin Dauwels

Arjun G Yodh

Regine Choe

Disclosed herein are systems and methods for revascularization assessment. The methods can in some cases include one or more of the steps of measuring blood perfusion as a function of time to obtain time series data, mathematically transforming the time series data into a power spectrum, calculating at least one parameter of the power spectrum within a specific frequency range, and using the at least one calculated parameter as a discriminator for the first population and the second population.

Systems and methods for revascularization assessment

Blood flow rates can be calculated using diffuse speckle contrast analysis in spatial and time domains. In the spatial domain analysis, a multi-pixel image sensor can be used to detect a spatial distribution of speckles in a sample caused by diffusion of light from a coherent light source that is blurred due to the movement of scatterers within the sample (e.g., red blood cells moving within a tissue sample). Statistical analysis of the spatial distribution can be used to calculate blood flow. In the time domain analysis, a slow counter can be used to obtain time-series fluctuations in light intensity in a sample caused by diffusion of light in the sample that is smoothened due to the movement of scatterers. Statistical analysis of the time-series data can be used to calculate blood flow.

Deep tissue flowmetry using diffuse speckle contrast analysis

Diffuse optical flow (DOF) sensors can be used to assess deep tissue flow. DOF sensors positioned on a foot can provide fluctuating light intensity data to an analyzer, which can then determine absolute and/or relative blood flow. The determined absolute and/or relative blood flow can be signaled to an operator, for example a surgeon for intra-operative use. DOF sensors may be utilized to assess pedal revascularization, for example to guide interventional procedures and to evaluate their efficacy. A support structure can carry a plurality of DOF sensors, such that when the support structure is placed onto a patient's foot, the DOF sensors are disposed adjacent different locations on the foot. The different locations may correspond to different topographical regions of the foot, for example different pedal angiosomes.

Systems and methods for pedal revascularization assessment

A method for coregistration of multi-modal images obtained in different geometries includes acquiring multi-modal image data, wherein the multi-model image data includes image data of a first modality and image data of a second modality, wherein the image data of the respective modalities have different geometries, defining a volume of interest in the multi-modal image data, segmenting the image data of the first modality and incorporating segmentation data of the first modality into a reconstruction of the second modality, and applying a registration of the second modality image data to the first modality image data according to a similarity measure through the volume of interest, wherein an output of the registration comprises superimposed multi-modal image data.

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Singapore, Singapore

Kijoon Lee