3D Measurement of Human Chest and Abdomen Surface Based on 3D Fourier Transform and Time Phase Unwrapping

Abstract

Monitoring respiratory movements is an effective way to improve radiotherapy treatments of thoracic and abdominal tumors, but the current approach is limited to measuring specific points in the chest and abdomen. In this paper, a dynamic three-dimensional (3D) measurement approach of the human chest and abdomen surface is proposed, which can infer tumor movement more accurately, so the radiotherapy damage to the human body can be reduced. Firstly, color stripe patterns in the RGB color model are projected, then after color correction, the collected stripe image sequences are separated into the three RGB primary color stripe image sequences. Secondly, a fringe projection approach is used to extract the folded phase combined 3D Fourier transform with 3D Gaussian filtering. By the relationship between adjacent fringe images in the time sequence, Gaussian filter parameters with individual characteristics are designed and optimized to improve the accuracy of wrapped phase extraction. In addition, based on the difference between the fractional parts of the folded phase error, one remainder equation can be determined, which is used for time-phase unwrapping. The simulation model and human experiments show that the proposed approach can obtain the 3D image sequences of the chest and abdomen surface in respiratory motion effectively and accurately with strong anti-interference ability.

Human Respiration Rate Measurement with High-Speed Digital Fringe Projection Technique

“…Although the physical principles differ among these sensors, they all rely on distance information between the body surface and the sensor. Depth sensors, also known as 3D sensors, can be based on the principle of Time-of-Flight (ToF) [10,[19][20][21][22][23] and structured light [24][25][26][27]. Many studies focus solely on extracting the average RR, while some extract the Breath-to-Breath Respiration Rate (BRR), measure volume variations, or extract a continuous respiration signal.…”

Single-Shot 3D Shape Reconstruction Using Structured Light and Deep Convolutional Neural Networks

“…Non-contact 3D shape reconstruction using the structured-light techniques is commonly used in a broad range of applications including machine vision, reverse engineering, quality assurance, 3D printing, entertainment, etc. [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ]. The technique typically retrieves the depth or height information with an algorithm based on geometric triangulation, where the structured light helps facilitate the required image matching or decoding process.…”

High-Accuracy 3-D Sensor for Rivet Inspection Using Fringe Projection Profilometry with Texture Constraint

“…Fringe projection profilometry (FPP) has been widely used in 3-D shape measurement due to its merits of measuring dense 3-D data with high accuracy and speed [ 15 , 16 ]. It enables numerous industrial workpiece measurements, such as composite panel [ 17 ], honeycomb core structures [ 18 ], and thermal forging parts [ 19 ], and other applications [ 20 , 21 , 22 ]. If dense 3-D data is obtained, dimension parameters and surface cracks can be easily extracted.…”