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Everything you need to know about Computed Tomography (CT) & CT Scanning

Stomach: 3D of Stomach Imaging Pearls - Educational Tools | CT Scanning | CT Imaging | CT Scan Protocols - CTisus
Imaging Pearls ❯ Stomach ❯ 3D of Stomach

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  • “Evaluation of stomach neoplasms by traditional 3-dimensional (3D) computed tomography methods such as volume rendering and maxi- mum-intensity projection plays an important role in lesion detection and characterization, preoperative planning, staging, and follow-up. Recently, a new 3D visualization method has become available known as cinematic rendering (CR). This novel technique makes use of a complex global lighting model to impart photorealistic levels of detail to 3D images. Although this new technique has yet to be systematically studied for the evaluation of stomach neoplasms, its intrinsic ability to create realistic shadowing effects to enhance understanding of the 3D relative locations of anatomic structures and to enhance detail and texture may prove valuable for a variety of applications. In this article, we demonstrate the CR appearance of multiple different gastric neoplasms, describe potential advantages of CR, and suggest future research directions.”
    Evaluation of Stomach Neoplasms With 3-Dimensional Computed Tomography: Focus on the Potential Role of Cinematic Rendering
    Steven P. Rowe, Linda C. Chu, Elliot K. Fishman
    J Comput Assist Tomogr 2018;42: 661–666
  • “Evaluation of stomach neoplasms by traditional 3-dimensional (3D) computed tomography methods such as volume rendering and maxi- mum-intensity projection plays an important role in lesion detection and characterization, preoperative planning, staging, and follow-up. Recently, a new 3D visualization method has become available known as cinematic rendering (CR). This novel technique makes use of a complex global lighting model to impart photorealistic levels of detail to 3D images. Although this new technique has yet to be systematically studied for the evaluation of stomach neoplasms, its intrinsic ability to create realistic shadowing effects to enhance understanding of the 3D relative locations of anatomic structures and to enhance detail and texture may prove valuable for a variety of applications.”
    Evaluation of Stomach Neoplasms With 3-Dimensional Computed Tomography: Focus on the Potential Role of Cinematic Rendering
    Steven P. Rowe, Linda C. Chu, Elliot K. Fishman
    J Comput Assist Tomogr 2018;42: 661–666
  • “Recently, a novel method of 3D CT volumetric data visualization became available. This method, known as cinematic rendering (CR), makes use of standard acquisition CT volumetric data composed of isotropic voxels and is fundamentally similar to VR. However, whereas VR uses a ray casting lighting model to create 3D images from acquired volumes, CR instead makes use of a complex global lighting model that takes into account a number of potential interactions of photons with the material in the imaged volume; this leads to enhanced surface detail and a photorealistic quality to the images.”
    Evaluation of Stomach Neoplasms With 3-Dimensional Computed Tomography: Focus on the Potential Role of Cinematic Rendering
    Steven P. Rowe, Linda C. Chu, Elliot K. Fishman
    J Comput Assist Tomogr 2018;42: 661–666
  • ”Computed tomography is the imaging method of choice for evaluating stomach neoplasms, and traditional 3D methodologies have previously been shown to have value in lesion detection, staging, and follow-up for treatment response. With the addition of enhanced surface detail intrinsic to CR, the role of 3D CT visualizations in stomach neoplasm imaging may be expanded. Prospective trials with pathologic correlation that evaluate the ability of CR to enhance detection of subtle mucosal irregularities, study whether CR provides better lesion characterization through highlighting intratumoral texture, and lead to improved preoperative planning would be of value.”
    Evaluation of Stomach Neoplasms With 3-Dimensional Computed Tomography: Focus on the Potential Role of Cinematic Rendering
    Steven P. Rowe, Linda C. Chu, Elliot K. Fishman
    J Comput Assist Tomogr 2018;42: 661–666
© 1999-2019 Elliot K. Fishman, MD, FACR. All rights reserved.