Positioning a Video to Mesh Pipeline for 3D Foot Reconstruction as a Monitoring Tool for Peripheral Edema

We proposed a pipeline that can assess the grade of the peripheral edema via a 3D volumetric assessment of the foot from a sweeping video of the subject's foot. Using sweeping videos of the subject's foot, we developed an automatic pipeline to perform 3D mesh reconstruction of the foot to determine the status and severity of peripheral edema. This pipeline consists of several modules such as Structure from Motion (SfM) and Multi View Stereo (MVS). With sweeping videos recorded across several days, it will be possible to determine the degree of swelling in the foot. When comparing the swelling with the patient's baseline, it can provide status update of the edema to the physicians without requiring them to be there physically. Moreover, this algorithm can provide additional information for the physicians and allows for early intervention and proactive treatment. As consequence, this algorithm can potentially reduce 30 day hospital readmission and improve patient health outcomes.

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Positioning a Video to Mesh Pipeline for 3D Foot Reconstruction as a Monitoring Tool for Peripheral Edema

Semantic Scholar · Medicine · 2025

Abstract

We proposed a pipeline that can assess the grade of the peripheral edema via a 3D volumetric assessment of the foot from a sweeping video of the subject's foot. Using sweeping videos of the subject's foot, we developed an automatic pipeline to perform 3D mesh reconstruction of the foot to determine the status and severity of peripheral edema. This pipeline consists of several modules such as Structure from Motion (SfM) and Multi View Stereo (MVS). With sweeping videos recorded across several days, it will be possible to determine the degree of swelling in the foot. When comparing the swelling with the patient's baseline, it can provide status update of the edema to the physicians without requiring them to be there physically. Moreover, this algorithm can provide additional information for the physicians and allows for early intervention and proactive treatment. As consequence, this algorithm can potentially reduce 30 day hospital readmission and improve patient health outcomes.

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