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Fig 1.

Visualization of a row-column array.

(a) shows N column arrays with N connections, (b) shows N row arrays with N connections, (c) shows the row column arrangement with 2N connections.

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Fig 2.

Two-way radiation pattern (i.e. PSF) of a 5 mm × 5 mm, 32 × 32 elements row-column array.

The -6 dB resolution weakens from 0.5 mm in spot size to 0.9 mm as the focusing and scatterer moves from 5 mm to 20 mm away from the aperture. Side lobes can be seen below -30 dB. Side lobe shape is highly influenced by the natural focusing tendency of the row-column beamforming method.

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Fig 3.

A flow chart representing the proposed system.

(a) shows the a top level implementation of the CRC-UIS. (b) shows the signal processing unit in more detail.

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Fig 4.

Fan beams originating from the ultrasound transducer.

Black squares indicate available readings, white squares indicate absent readings that need to be estimated.

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Fig 5.

Visualization of the uncertainty layer within the state-observation model.

This is a 2-D slice of the full 3-D lattice. The layers (from top to bottom) are state, observation, and uncertainty layer.

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Fig 6.

Pairwise relationship illustrated in the state-observation-uncertainty model.

The red window shows a clique, and pairwise connectivity of points within that clique is shown in red lines.

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Fig 7.

Model of artificial phantoms.

(a) shows the first artificial phantom with 4 cysts of equal size, (b) shows the second phantom with 4 cysts of decreasing size.

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Table 1.

Quantitative results for the simulated phantoms.

For both the first and second phantoms, it is clear that CRC-UIS outperforms other system when it comes to PSNR and ENL, with the exception of the first phantom in the fully addressed 2-D array, where PSNR values were close.

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Table 2.

Quantitative results for the real phantom.

Similar results to the simulated data tests, where CRC-UIS outperformed the baseline RC system when it comes to SNR and ENL.

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Fig 8.

Visual assessment of our proposed CRC-UIS (top center) as opposed to other systems in literature.

The first phantom is shown in (a), CRC-UIS reconstruction is shown in (b), Baseline RC system shown in (c) with a dynamic range of 40 dB, integrated apodization system [7] shown in (d) with a dynamic range of 60 dB, fully addressed 2-D array shown in (e) with a dynamic range of 30 dB, and column-row-parallel system [13] shown in (f) with a dynamic range of 30 dB.

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Fig 9.

Visual assessment of our proposed CRC-UIS (top center) as opposed to other systems in literature.

The second phantom is shown in (a), CRC-UIS reconstruction is shown in (b), Baseline RC system shown in (c) with a dynamic range of 40 dB, integrated apodization system [7] shown in (d) with a dynamic range of 60 dB, fully addressed 2-D array shown in (e) with a dynamic range of 30 dB, and column-row-parallel system [13] shown in (f) with a dynamic range of 30 dB.

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Fig 10.

Visual assessment of our proposed CRC-UIS (left side) as opposed to the baseline RC system (right side).

CRC-UIS reconstruction shows better noise reduction while maintaining the shape of the phantom. 40 dB is the dynamic range.

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Fig 11.

A closer look at the CRC-UIS reconstruction.

The four wire targets (shown in blue, green, yellow and pink) have a more consistent shape and size. They are also more clearly visible. A region in the background (shown in red) shows a better suppression of noise when compared to the one in the baseline RC system reconstruction.

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Fig 12.

A closer look at the baseline RC system reconstruction.

Only two of the four wire targets (blue and green) are clearly visible, and they do not have a consistent shape or size. A region in the background (shown in red) shows unsuppressed ringing noise.

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