Evidence map›Paper›PMID 41539942›Full record

ArticleJournal of applied clinical medical physics2026

Development and clinical application of a high-performance medical static computed tomography system.

Haining Ding, Yunxiang Li, Zhili Cui, Hongchun Xu

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Haining DingDepartment of Algorithm, Nanovision Medical Technology (Shanghai) Co., Ltd, Shanghai, China.
Yunxiang LiDepartment of Algorithm, Nanovision Medical Technology (Shanghai) Co., Ltd, Shanghai, China.
Zhili CuiDepartment of Algorithm, Nanovision Medical Technology (Shanghai) Co., Ltd, Shanghai, China.
Hongchun XuDepartment of Algorithm, Nanovision Medical Technology (Shanghai) Co., Ltd, Shanghai, China.ORCID https://orcid.org/0009-0006-0770-8871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeConventional helical computed tomography (CT) is limited by constraints related to centripetal acceleration, with current rotation speeds nearing the boundaries of engineering feasibility. This study addresses these challenges by proposing a novel CT system design

methodsThis study introduces an innovative multi-source static CT architecture that employs an array-based, fully integrated x-ray source paired with a photon stream detector. This system utilizes a complete circular configuration and implements a sequential exposure strategy for each source, thereby eliminating the need for mechanical rotation typical of traditional helical CT. Leveraging the compact integration of the x-ray source and the fine pixel structure of the detector, we developed a compressed-sensing iterative reconstruction algorithm based on the bilateral extended Feldkamp-Davis-Kress (bixFDK), referred to as "iVision" reconstruction. In addition, a software-based scatter correction algorithm was implemented. These enhancements collectively improve system performance by significantly boosting spatial resolution.

resultsThe multi-source static CT system met all key regulatory standards for performance indicators, including image noise, uniformity, measurement accuracy, spatial resolution, and density resolution. Notably, the system achieved a spatial resolution of up to 25 LP/cm@MTF = 10%, positioning it at the forefront of ultra-high-resolution CT imaging. In volunteer clinical scans, the system consistently delivered sharper images of anatomical regions such as the head, chest, abdomen, and musculoskeletal structures, outperforming conventional helical CT, particularly in detailed visualization of bones and joints, pulmonary tissues, and internal organs.

conclusionsBased on the above results and analyses, this multi-source static CT system achieves diagnostic-quality imaging, aligning with clinical practice standards. It excels in capturing fine anatomical detail and detecting critical pathological features. Its high-resolution capability also supports precise diagnoses of hip fractures and facilitates detailed trabecular bone assessment, thus improving overall diagnostic accuracy.

Indexed as

AlgorithmsImage Processing, Computer-AssistedPhantoms, ImagingTomography, Spiral ComputedTomography, X-Ray ComputedHumansSoftwarearray‐type integrated x‐ray sourcephoton stream detectorstatic CTultra‐high resolution

Identifiers

PMID41539942
PMCPMC12807589

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.