Applications of matrix inversion tomosynthesis

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

doi:10.1117/12.384512

Cited by 40 publications

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“…The set of 71 projection images was acquired in 11 s, which was easily within a breath hold of human subjects in this trial. Image reconstruction was accomplished using the matrix inversion tomosynthesis algorithm previously described, 3,[5][6][7] and a sliding average of seven adjacent planes was formed to reduce noise and low-contrast tomosynthesis artifacts. The resulting images demonstrated subjectively excellent rendition of objects in each slice of interest, with minimal degradation from structures outside that slice.…”

Section: Methodsmentioning

confidence: 99%

Digital tomosynthesis of the chest for lung nodule detection: Interim sensitivity results from an ongoing NIH‐sponsored trial

et al. 2008

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The authors report interim clinical results from an ongoing NIH-sponsored trial to evaluate digital chest tomosynthesis for improving detectability of small lung nodules. Twenty-one patients undergoing computed tomography ͑CT͒ to follow up lung nodules were consented and enrolled to receive an additional digital PA chest radiograph and digital tomosynthesis exam. Tomosynthesis was performed with a commercial CsI/a-Si flat-panel detector and a custom-built tube mover. Seventyone images were acquired in 11 s, reconstructed with the matrix inversion tomosynthesis algorithm at 5-mm plane spacing, and then averaged ͑seven planes͒ to reduce noise and low-contrast artifacts. Total exposure for tomosynthesis imaging was equivalent to that of 11 digital PA radiographs ͑comparable to a typical screen-film lateral radiograph or two digital lateral radiographs͒. CT scans ͑1.25-mm section thickness͒ were reviewed to confirm presence and location of nodules. Three chest radiologists independently reviewed tomosynthesis images and PA chest radiographs to confirm visualization of nodules identified by CT. Nodules were scored as: definitely visible, uncertain, or not visible. 175 nodules ͑diameter range 3.5-25.5 mm͒ were seen by CT and grouped according to size: Ͻ5, 5-10, and Ͼ10 mm. When considering as true positives only nodules that were scored definitely visible, sensitivities for all nodules by tomosynthesis and PA radiography were 70%͑Ϯ5%͒ and 22%͑Ϯ4%͒, respectively, ͑p Ͻ 0.0001͒. Digital tomosynthesis showed significantly improved sensitivity of detection of known small lung nodules in all three size groups, when compared to PA chest radiography.

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Section: Methodsmentioning

confidence: 99%

Digital tomosynthesis of the chest for lung nodule detection: Interim sensitivity results from an ongoing NIH‐sponsored trial

et al. 2008

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“…Previous preliminary studies have shown that MITS generates reconstructions with significantly less tomographic blur than conventional tomosynthesis. 7,10,12,13 This paper examines the effect of acquisition and reconstruction parameters on MITS reconstruction efficacy. Variations in total angular tube movement, number of projection radiographs acquired, and number of planes reconstructed, were examined for their effect on residual out-of-plane blur in MITS reconstructed planes.…”

Section: Introductionmentioning

confidence: 99%

“…2 Further work in the field has focused on the removal of blur artifacts from objects in planes outside the plane-of-interest. [3][4][5][6][7][8][9][10][11][12][13] The advent of digital x-ray acquisition technology has recently made conventional tomosynthesis more simple to execute, and powerful workstations now allow fast implementation of routines that remove tomographic blur.…”

Section: Introductionmentioning

confidence: 99%

Optimization of matrix inverse tomosynthesis

Godfrey

Warp

Dobbins

2001

Medical Imaging 2001: Physics of Medical Imaging

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Digital tomosynthesis is a method for reconstructing arbitrary planes in an object from a series of projection radiographs, acquired with limited angle tube movement. Conventional 'shift and add' tomosynthesis suffers from the presence of blurring artifacts, created by objects located outside of each reconstructed plane. Matrix inversion tomosynthesis (MITS) uses known geometry, and a set of coupled linear algebra equations to solve for the blurring function in each reconstructed plane, enabling removal of the unwanted out-of-plane blur artifacts. For this paper, both MITS and conventional tomosynthesis reconstructions were generated for a simulated impulse located at varying distance from the detector, and also an anthropomorphic chest phantom. Exploration of the effects of total angular tube movement, number of projection radiographs acquired, and number of planes reconstructed via matrix inversion tomosynthesis, on residual out-of-plane blur ensued. We conclude that optimization of image acquisition and plane reconstruction parameters can improve slice image quality. In all examined scenarios, the MITS algorithm outperforms conventional tomosynthesis in removing out-of-plane blur.

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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.…”

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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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Applications of matrix inversion tomosynthesis

Cited by 40 publications

References 0 publications

Digital tomosynthesis of the chest for lung nodule detection: Interim sensitivity results from an ongoing NIH‐sponsored trial

Digital tomosynthesis of the chest for lung nodule detection: Interim sensitivity results from an ongoing NIH‐sponsored trial

Optimization of matrix inverse tomosynthesis

Tomosynthesis imaging: At a translational crossroads

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