Sentence examples for shorter image from inspiring English sources

In particular, dPET/CT technology enables post-therapy 90Y imaging with shorter image acquisition times, improved image quality, contrast, and volumetric assessment when compared with standard bSPECT/CT approaches.

Imaging with a 5-cm shorter image length in the lung bases resulted in 55% dose reduction.

Using dPET technology in the future, we expect that new strategies for 90Y image acquisition as well as new reconstruction methodologies will facilitate even shorter image acquisition times with better image quality and more accurate dose quantification in patients treated with existing and new 90Y-based theranostics.

Moreover "animals" were reliably reported with shorter image presentations than "birds", "dogs" or "cats".

Either a 3 Tesla or 1.5 Tesla magnet can be used for MP-MRI of the prostate; however, 3 Tesla magnets are advantageous because they improve signal-to-noise ratios and require shorter image acquisition times than 1.5 Tesla magnets.

At the reviewer's request, we now provide a shorter image exposure time for the ABC antibody that is now matched with the pan β-catenin antibody exposure (Compare Figure 1C with A&B) to show that it is indeed difficult to distinguish true ABC "signal" to background "noise" in the HEK cell system.

For each query, the system collects n database images X = (x 1, x 2,…, x n ) with the shortest image matching distance computed using Eq. (20).

In large-scale retrieval application, high-dimensional global image representations are often dimensionally reduced to short image representations by PCA, which can be further encoded in compact codes using binarization or product quantization techniques.

On the other hand, using just histograms of the IF and IA, we can design effective content-based image retrieval systems using very short image feature vectors [8, 9].

In our approach, we focus on capturing short image stream samples of two kinds of upper body motion: a vertical motion of either the left or right arm. Figure 1 System overview.

The data set used in our approach consists of short image streams of 12 subjects (three females and nine males), where each subject performed two different upper body movements separately.