GPU based acceleration of 3D USCT image reconstruction with efficient integration into MATLAB

2014 IEEE International Ultrasonics Symposium

Kretzek

et al. 2014

Self Cite

The 3D USCT II system needs a method to localize and reposition a non-centrally positioned breast. A novel imaging technique (IIT) was introduced to retrieve intersection images of breasts. By detecting the breast deviation direction from these images, the breast position can be estimated. This method limits the amount of data and speeds up the data transmission by producing only 2D images and generalizing the breast as convex. It achieves an mean accuracy of 0.73 • for the estimation of the breast deviation direction. IIT achieves a data reduction rate of 99.99%, which speeds up the data transfer to 0.1 s. Therefore, IIT achieves a fast and sufficiently accurate detection of the breast position for USCT II system.

Section: Discussionmentioning

confidence: 99%

Fast detection of breast position for 3D USCT

Qin

2014 IEEE International Ultrasonics Symposium

Kretzek

et al. 2014

Self Cite

“…The external GPU crate is equipped with four Nvidia Geforce GTX 590 cards, with two GF100 GPUs per card. This results in a total number of eight separate CUDA devices for image reconstruction [8]. The speed of sound and attenuation volumes are reconstructed using a ray-based approach.…”

Section: E Image Reconstruction Methodsmentioning

confidence: 99%

First results of a clinical study with 3D ultrasound computer tomography

Ruiter

2013 IEEE International Ultrasonics Symposium (IUS)

Dapp

et al. 2013

Figure 1. Left: KIT 3D USCT. Top right: Transducer aperture. Bottom right: 0.07 mm metal thread, photo (left) and maximum intensity projection of a reconstruction (right).Abstract-The KIT 3D USCT was tested in a pilot study on ten patients. The primary goals of the pilot study were to test the USCT device, the data acquisition protocols, the image reconstruction methods and the image fusion techniques in a clinical environment. The study was conducted successfully; the data acquisition could be carried out for all patients with an average imaging time of six minutes per breast. First reconstructions provide promising images. Overlaid volumes of the modalities show qualitative and quantitative information at a glance. The results led to further optimization of the system and the data acquisition protocol.

“…In [2] we efficiently integrated a GPU accelerated implementation for SAFT algorithm into the existing MATLAB signal processing sequence with negligible overhead. The maximal reached performance with eight GPUs was 107 GVoxel/s.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of phase aberration correction for a 3D USCT using a ray trace based simulation

Kretzek

Dapp

2013 IEEE International Ultrasonics Symposium (IUS)

et al. 2013

3D ultrasound computer tomography (3D USCT) promises reproducible high-resolution images for early detection of breast tumors. The KIT 3D USCT provides three different modalities (reflectivity, speed of sound, and attenuation) using 2041 transducers. In this setup, with a diameter of 26 cm and height of 17 cm, ultrasound can travel over long distances up to 52 cm. Phase aberrations (PA) due to speed of sound (SOS) variations inside the measuring object (water, different breast tissues) cause many pulses not to overlap in a distinct voxel for the coherent reflectivity reconstruction. Previous research showed that image quality can be increased significantly performing a PA correction.As no quantitative error assessment was done yet, a simulation based on ray tracing is used to quantify their image degradation caused by PA and the effects of the applied PA correction. This was done with the metrics contrast, resolution and displacement for different positions in the 3D USCT. Our work shows that PA correction significantly restores the image quality.