Optimization of matrix inverse tomosynthesis

Godfrey, D; Warp, Richard J.; Dobbins, James T.

doi:10.1117/12.430908

Cited by 24 publications

(19 citation statements)

References 8 publications

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“…Realistic simulated radiographs were produced from 3D data sets obtained by imaging skeletal specimens with a 0.066 mm pitch, µCT system. The images were reconstructed using the matrix-inversion tomosynthesis technique developed in the laboratory of Dr., James Dobbins III [11]. With this technique, the reconstructed planes are distributed evenly between two fiducial markers that are placed in the field of view.…”

Section: Methodsmentioning

confidence: 99%

Digital tomosynthesis rendering of joint margins for arthritis assessment

et al. 2004

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PURPOSE: Rheumatoid arthritis (RA) of the hand is a significant healthcare problem. Techniques to accurately quantity the structural changes from RA are crucial for the development and prescription of therapies. Analysis of radiographic joint space width (JSW) is widely used and has demonstrated promise. However, radiography presents a 2D view of the joint. In this study we performed tomosynthesis reconstructions of proximal interphalangeal (PIP), and metacarpophalangeal (MCP) joints to measure the 3D joint structure.METHODS: We performed a reader study using simulated radiographs of 12 MCP and 12 PIP joints from skeletal specimens imaged with micro-CT. The tomosynthesis technique provided images of reconstructed planes with 0.75 mm spacing, which were presented to 2 readers with a computer tool. The readers were instructed to delineate the joint surfaces on tomosynthetic slices where they could visualize the margins. We performed a quantitative analysis of 5 slices surrounding the central portion of each joint. Reader-determined JSW was compared to a gold standard. As a figure of merit we calculated the average root-mean square deviation (RMSD).RESULTS: RMSD was 0.22 mm for both joints. For the individual joints, RMSD was 0.18 mm (MCP), and 0.26 mm (PIP). The reduced performance for the smaller PIP joints suggests that a slice spacing less than 0.75 mm may be more appropriate.CONCLUSIONS: We have demonstrated the capability of limited 3D rendering of joint surfaces using digital tomosynthesis. This technique promises to provide an improved method to visualize the structural changes of RA.

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Section: Methodsmentioning

confidence: 99%

Digital tomosynthesis rendering of joint margins for arthritis assessment

et al. 2004

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“…Matrix inversion tomosynthesis (MITS) technique uses linear algebra to enable high-speed reconstruction of arbitrary planes using a deblurring algorithm to solve for the blurring function in each reconstructed plane. MITS has been investigated in tomography of the lung [9] and arthritis assessment [10] . Though several tomosynthesis algorithms have been proposed and investigated, no complete theoretical comparison of all available methods has been conducted as of yet.…”

Section: Introductionmentioning

confidence: 99%

Impulse response analysis for several digital tomosynthesis mammography reconstruction algorithms

Chen

Dobbins

2005

Medical Imaging 2005: Physics of Medical Imaging

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Digital tomosynthesis mammography algorithms allow reconstructions of arbitrary planes in the breast from limitedangle series of projection images as the x-ray source moves along an arc above the breast. Though several tomosynthesis algorithms have been proposed, no complete comparison of the methods has previously been conducted. This paper presents an analysis of impulse response for four different tomosynthesis mammography reconstruction algorithms. Simulated impulses at different 3-D locations were simulated to investigate the sharpness of reconstructed in-plane structures and to see how effective each algorithm is at removing out-of-plane blur. Datasets with 41, 21 and 11 projection images of the impulse were generated with a total angular movement of +/-10 degrees of the simulated x-ray point source. Four algorithms, including shift-and-add method, Niklason algorithm, filtered back projection (FBP), and matrix inversion tomosynthesis (MITS) are investigated. Compared with shift-and-add algorithm and Niklason method, MITS and FBP performed better for in-plane response and outof-plane blur removal. MITS showed better out-of-plane blur removal in general. MITS and FBP performed better when projection numbers increase.

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“…Starting in 1998, we developed, optimized, and evaluated tomosynthesis with flat-panel detectors for pulmonary nodule imaging. [10][11][12][13][14][15][16] Figure 1 illustrates the advantage of using tomosynthesis for improving the visibility of subtle pulmonary nodules. At about the same time, tomosynthesis with flat-panel detectors was also applied to breast imaging.…”

Section: A Brief History Of Tomosynthesismentioning

confidence: 99%

“…MITS, which was developed in our laboratory, solves for the out-of-plane blur using the known blurring functions of all other planes when a given plane is reconstructed. [11][12][13]20 Describing the SAA tomosynthesis reconstructions as a sum of blurry components from all planes, the unblurred structures can be obtained by using matrix algebra to solve the set of coupled equations in frequency space. This method is quite fast computationally, and given an object composed of a finite number of planes, can render an exact solution in the absence of noise.…”

Section: Iiib Reconstruction Algorithmsmentioning

confidence: 99%

Tomosynthesis imaging: At a translational crossroads

2009

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Tomosynthesis is a decades-old technique for section imaging that has seen a recent upsurge in interest due to its promise to provide three-dimensional information at lower dose and potentially lower cost than CT in certain clinical imaging situations. This renewed interest in tomosynthesis began in the late 1990s as a new generation of flat-panel detectors became available; these detectors were the one missing piece of the picture that had kept tomosynthesis from enjoying significant utilization earlier. In the past decade, tomosynthesis imaging has been investigated in a variety of clinical imaging situations, but the two most prominent have been in breast and chest imaging. Tomosynthesis has the potential to substantially change the way in which breast cancer and pulmonary nodules are detected and managed. Commercial tomosynthesis devices are now available or on the horizon. Many of the remaining research activities with tomosynthesis will be translational in nature and will involve physicist and clinician alike. This overview article provides a forwardlooking assessment of the translational questions facing tomosynthesis imaging and anticipates some of the likely research and clinical activities in the next five years. © 2009 American Association of Physicists in Medicine. ͓DOI: 10.1118/1.3120285͔ Key words: tomosynthesis, breast imaging, chest imaging, tomography I. OVERVIEWDigital tomosynthesis is a simple and relatively inexpensive method of producing section images using conventional digital x-ray equipment. It is a form of limited angle tomography that produces section, or "slice," images from a series of projection images acquired as the x-ray tube moves over a prescribed path. The total angular range of movement is often less than 40°. Because the projection images are not acquired over a full 360°rotation about the patient, the resolution in the z direction ͑i.e., in the depth direction perpendicular to the x-y plane of the projection images͒ is limited, and thus tomosynthesis does not produce the isotropic spatial resolution achievable with computed tomography ͑CT͒. However, the resolution of images in the x-y plane of the reconstructed slices is often superior to CT, and the ease of use in conjunction with conventional radiography makes tomosynthesis a potentially quite useful imaging modality.There has been a high degree of research interest in tomosynthesis imaging in the past decade, and at least two commercial products have recently been approved by the Food and Drug Administration ͑FDA͒ and released on the market. It is expected that other approved devices will soon follow. As such, tomosynthesis imaging is in a period of a high rate of change, with an increasing number of investigators and manufacturers nearing completion of projects involving both the physics and clinical aspects of the technique. If one were to compare the current state of tomosynthesis imaging to a metaphorical calendar year, the field is firmly in the middle of spring. It has moved beyond the "winter" of initial research ...

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Optimization of matrix inverse tomosynthesis

Cited by 24 publications

References 8 publications

Digital tomosynthesis rendering of joint margins for arthritis assessment

Digital tomosynthesis rendering of joint margins for arthritis assessment

Impulse response analysis for several digital tomosynthesis mammography reconstruction algorithms

Tomosynthesis imaging: At a translational crossroads

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