Scout-view assisted interior micro-CT

Sharma, Kriti Sen; Holzner, Christian; Vasilescu, Dragoş M.; Jin, Xin; Narayanan, Shree; Agah, Masoud; Hoffman, Eric A.; Yu, Hengyong; Wang, Ge

doi:10.1088/0031-9155/58/12/4297

Cited by 26 publications

(23 citation statements)

References 44 publications

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“…In other words, in almost all the practical applications the polygonal bias does not affect image quality in principle. Clearly, interior tomography theory can be further developed to accommodate this and other constraints while maintaining the theoretical exactness aided by appropriate knowledge [145,146].…”

Section: Discussionmentioning

confidence: 99%

The meaning of interior tomography

Wang

2011

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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The classic imaging geometry for computed tomography is for collection of un-truncated projections and reconstruction of a global image, with the Fourier transform as the theoretical foundation that is intrinsically non-local. Recently, interior tomography research has led to theoretically exact relationships between localities in the projection and image spaces and practically promising reconstruction algorithms. Initially, interior tomography was developed for x-ray computed tomography. Then, it has been elevated as a general imaging principle. Finally, a novel framework known as "omni-tomography" is being developed for grand fusion of multiple imaging modalities, allowing tomographic synchrony of diversified features.

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Section: Discussionmentioning

confidence: 99%

The meaning of interior tomography

Wang

2011

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…The cosine-extrapolation was selected because of its ease of use and computational simplicity. Note that other methods 22,27,28,32 can be used to achieve even higher accuracy in the projection completion.…”

Section: Discussionmentioning

confidence: 99%

Interior micro‐CT with an offset detector

et al. 2014

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Purpose:The size of field-of-view (FOV) of a microcomputed tomography (CT) system can be increased by offsetting the detector. The increased FOV is beneficial in many applications. All prior investigations, however, have been focused to the case in which the increased FOV after offset-detector acquisition can cover the transaxial extent of an object fully. Here, the authors studied a new problem where the FOV of a micro-CT system, although increased after offset-detector acquisition, still covers an interior region-of-interest (ROI) within the object. Methods: An interior-ROI-oriented micro-CT scan with an offset detector poses a difficult reconstruction problem, which is caused by both detector offset and projection truncation. Using the projection completion techniques, the authors first extended three previous reconstruction methods from offset-detector micro-CT to offset-detector interior micro-CT. The authors then proposed a novel method which combines two of the extended methods using a frequency split technique. The authors tested the four methods with phantom simulations at 9.4%, 18.8%, 28.2%, and 37.6% detector offset. The authors also applied these methods to physical phantom datasets acquired at the same amounts of detector offset from a customized micro-CT system. Results: When the detector offset was small, all reconstruction methods showed good image quality. At large detector offset, the three extended methods gave either visible shading artifacts or high deviation of pixel value, while the authors' proposed method demonstrated no visible artifacts and minimal deviation of pixel value in both the numerical simulations and physical experiments. Conclusions: For an interior micro-CT with an offset detector, the three extended reconstruction methods can perform well at a small detector offset but show strong artifacts at a large detector offset. When the detector offset is large, the authors' proposed reconstruction method can outperform the three extended reconstruction methods by suppressing artifacts and maintaining pixel values.

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“…Instead of dealing with only truncated data, some approaches which have been proposed are based on dual sampling and dual reconstruction followed by data completion [16][17][18][19][20]. The idea behind these methods is measuring conventional projections covering the entire object with reduced resolution and moderately higher-resolution interior projections limited to the ROI.…”

Section: Introductionmentioning

confidence: 99%

Quantitative region-of-interest tomography using variable field of view

et al. 2018

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In X-ray computed tomography, the task of imaging only a local region of interest (ROI) inside a larger sample is very important. However, without a priori information, this ROI cannot be exactly reconstructed using only the image data limited to the ROI. We propose here an approach of region-of-interest tomography, which reconstructs a ROI within an object from projections of different fields of view acquired on a specific angular sampling scheme in the same tomographic experiment. We present a stable procedure that not only yields high-quality images of the ROI but keeps as well the quantitative contrast on the reconstructed images. In addition, we analyze the minimum number of projections required for ROI tomography from the point of view of the band region of the Radon transform, which confirms this number must be estimated based on the size of the entire object and not only on the size of the ROI.

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Scout-view assisted interior micro-CT

Cited by 26 publications

References 44 publications

The meaning of interior tomography

The meaning of interior tomography

Interior micro‐CT with an offset detector

Quantitative region-of-interest tomography using variable field of view

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