Parallax-Free Long Bone X-ray Image Stitching

Wang, Lejing; Traub, Joerg; Weidert, Simon; Heining, Sandro Michael; Euler, Ekkehard; Navab, Nassir

doi:10.1007/978-3-642-04268-3_22

Cited by 9 publications

(4 citation statements)

References 8 publications

(17 reference statements)

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“…Intensity-based registration relies on large overlapping areas, thus increasing the radiation dose received by patients and medical staff. In response to this, Wang, L. [25] proposed a moving C-arm shooting method that does not require overlapping, thus reducing the number of shots and reducing the amount of radiation. The featurebased registration method is limited by the fact that the feature intensities of different images taken with X-rays may be completely different, making the stitching difficult.…”

Section: Preprocessing Methods Used To Deal With Parallaxmentioning

confidence: 99%

A Review of the Methods on Cobb Angle Measurements for Spinal Curvature

Chen

Wang

Yang

et al. 2022

Sensors

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Scoliosis is a common disease of the spine and requires regular monitoring due to its progressive properties. A preferred indicator to assess scoliosis is by the Cobb angle, which is currently measured either manually by the relevant medical staff or semi-automatically, aided by a computer. These methods are not only labor-intensive but also vary in precision by the inter-observer and intra-observer. Therefore, a reliable and convenient method is urgently needed. With the development of computer vision and deep learning, it is possible to automatically calculate the Cobb angles by processing X-ray or CT/MR/US images. In this paper, the research progress of Cobb angle measurement in recent years is reviewed from the perspectives of computer vision and deep learning. By comparing the measurement effects of typical methods, their advantages and disadvantages are analyzed. Finally, the key issues and their development trends are also discussed.

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Section: Preprocessing Methods Used To Deal With Parallaxmentioning

confidence: 99%

A Review of the Methods on Cobb Angle Measurements for Spinal Curvature

Chen

Wang

Yang

et al. 2022

Sensors

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“…Their stitching pipeline was followed by a parallax correction step that estimated parallax errors via approximating reconstruction planes for each individual pixel. In a different work, Wang et al proposed a parallax-free X-ray image stitching methodology by restricting the X-ray camera to only undergo pure rotation [33,34]. To compensate for translation between the C-arm camera and the scene, the patient bed was translated with the same translational parameters as the X-ray source.…”

Section: Related Workmentioning

confidence: 99%

From Perspective X-ray Imaging to Parallax-Robust Orthographic Stitching

Fotouhi,

Liu,

Armand

et al. 2020

Preprint

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Stitching images acquired under perspective projective geometry is a relevant topic in computer vision with multiple applications ranging from smartphone panoramas to the construction of digital maps. Image stitching is an equally prominent challenge in medical imaging, where the limited field-of-view captured by single images prohibits holistic analysis of patient anatomy. The barrier that prevents straightforward mosaicing of 2D images is depth mismatch due to parallax. In this work, we leverage the Fourier slice theorem to aggregate information from multiple transmission images in parallax-free domains using fundamental principles of X-ray image formation. The semantics of the stitched image are restored using a novel deep learning strategy that exploits similarity measures designed around frequency, as well as dense and sparse spatial image content. Our pipeline, not only stitches images, but also provides orthographic reconstruction that enables metric measurements of clinically relevant quantities directly on the 2D image plane.

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“…Goossen et al [9] presented an automatic algorithm based on a ruler to perform the first feature-based registration, which is followed by a content-based registration to match anatomy. Wang et al [17,19] proposed a parallax-free panoramic X-ray image that preserves the linear perspective projection property. They made use of a visual marker pattern along with a camera augmented mobile C-arm.…”

Section: State-of-the-artmentioning

confidence: 99%