24. The Fusion of Anatomic and Physiologic Tomographic Images to Enhance Accurate Interpretation

Faulhaber, P.F.; Nelson, A.D.; Mehta, Lina; Jk, O'Donnell

doi:10.1016/s1095-0397(00)00090-x

Cited by 10 publications

(6 citation statements)

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“…Image fusion algorithms used in medical imaging closely resemble the blending functionality available in image editing software (e.g., simple fusion algorithm with maximum method [37] is equivalent to the lighten blend mode in Photoshop software [38]). In medicine, fusion of images of different modalities has been thoroughly tested and shown to improve interpretability of results, reliability of localization (e.g., of tumor sites), and overall diagnostic accuracy [39][40][41][42][43][44][45][46].…”

Section: Combining Information From Different Visualizations With Blementioning

confidence: 99%

Why Not a Single Image? Combining Visualizations to Facilitate Fieldwork and On-Screen Mapping

2019

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Visualization products computed from a raster elevation model still form the basis of most archaeological and geomorphological enquiries of lidar data. We believe there is a need to improve the existing visualizations and create meaningful image combinations that preserve positive characteristics of individual techniques. In this paper, we list the criteria a good visualization should meet, present five different blend modes (normal, screen, multiply, overlay, luminosity), which combine various images into one, discuss their characteristics, and examine how they can be used to improve the visibility (recognition) of small topographical features. Blending different relief visualization techniques allows for a simultaneous display of distinct topographical features in a single (enhanced) image. We provide a “recipe” and a tool for a mix of visualization techniques and blend modes, including all the settings, to compute a visualization for archaeological topography that meets all of the criteria of a good visualization.

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Section: Combining Information From Different Visualizations With Blementioning

confidence: 99%

Why Not a Single Image? Combining Visualizations to Facilitate Fieldwork and On-Screen Mapping

2019

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“…49 In this way, PET studies can be interpreted with the corresponding anatomic images, such as magnetic resonance imaging or CT, to improve spatial accuracy. This has been used in patients with melanoma.…”

Section: Commentmentioning

confidence: 99%

Positron Emission Tomography for Basal Cell Carcinoma of the Head and Neck

Fosko

Cook

et al. 2003

Arch Dermatol

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“…Positron emission tomography (PET) with 2-deoxy-2-( 18 F) fluoro-D-glucose (FDG) has become a powerful tool in oncology imaging, particularly when the functional information available from PET is combined with the anatomic information from computed tomography (CT). [ 1 2 3 ] The widespread use of FDG PET/CT for cancer staging, re-staging, and surveillance has necessitated an understanding of the spectrum of benign and malignant incidental findings visible on the acquired CT images[ 4 5 6 ] and the management recommendations that should be made based on those findings. The adrenal glands are a particularly important site to distinguish benign incidental findings (e.g., adrenocortical adenomas, myelolipomas, and cystic lymphangiomas,)[ 7 8 ] from metastatic disease (including from primary lung cancer, melanoma, etc.)…”

Section: Introductionmentioning

confidence: 99%

Appearance of adrenal myelolipomas on 2-deoxy-2-(18F) fluoro-D-glucose positron emission tomography-computed tomography

et al. 2017

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With the widespread use of 2-deoxy-2-(18F) fluoro-D-glucose positron emission tomography-computed tomography (FDG PET/CT) in oncologic imaging, it has become increasingly important for physicians who interpret FDG PET/CT scans to confidently recognize the spectrum of incidentally encountered benign and malignant findings. The adrenal glands represent an interesting nexus of multiple rare and common benign intrinsic tumors as well as metastases from a variety of primary malignancies. Given the breadth of adrenal gland pathology, careful description of the FDG PET/CT appearance of these pathologies is of value to help reduce misinterpretation. In this manuscript, we retrospectively and systematically review the FDG PET/CT imaging characteristics of benign adrenal myelolipomas in a small consecutive patient series. The myelolipomas in this series demonstrated differing degrees of macroscopic fat visible on CT, with generally mild FDG uptake fusing to the nonfatty portions of the lesions. At imaging follow-up, all of the myelolipomas in this series remained unchanged in appearance, helping to confirm their benign nature. The typical appearance of a myelolipoma on FDG PET/CT is a fat-containing adrenal mass with low-level FDG uptake in the nonfatty aspects of the mass, and such a lesion requires no further imaging workup.

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24. The Fusion of Anatomic and Physiologic Tomographic Images to Enhance Accurate Interpretation

Cited by 10 publications

References 0 publications

Why Not a Single Image? Combining Visualizations to Facilitate Fieldwork and On-Screen Mapping

Why Not a Single Image? Combining Visualizations to Facilitate Fieldwork and On-Screen Mapping

Positron Emission Tomography for Basal Cell Carcinoma of the Head and Neck

Appearance of adrenal myelolipomas on 2-deoxy-2-(18F) fluoro-D-glucose positron emission tomography-computed tomography

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