Dose-efficient assessment of trabecular microstructure using ultra-high-resolution photon-counting CT

Peña, Jaime; Klein, Laura; Maier, Joscha; Damm, Timo; Engelke, Klaus; Glüer, Claus-Christian; Kachelrieß, Marc; Sawall, Stefan

doi:10.1016/j.zemedi.2022.04.001

Cited by 30 publications

(25 citation statements)

References 34 publications

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“…Its intrinsic spatial resolution allows small voxel sizes about 250 microns, which is twice as better than usual CT, the geometry e ciency being due to a lack of septa inside the detector [10]. The other advantages are the fast acquisition times less than 5 minutes, improved signal to noise ratio due to the exclusion of electronic noise from photon and pulse counts [10,20,21]. Low dose radiation estimates to be 30 to 60% lower compared to conventional CT [10].…”

Section: Discussionmentioning

confidence: 99%

“…Photon-counting detectors compared to energy-integrating integrator (EI) detectors usually found in conventional clinical CT were demonstrated to reduce the image noise and the dose in describing the ne anatomy of cadaveric wrists [19], and for the quantitative assessment of trabecular bone microarchitecture on vertebral phantoms [20]. The direct converters are based on semi-conductors, the signal generated by a single X-ray photon is short enough to decay before the next photon arrival, then the electronic signal is proportional to the energy of the incoming X-ray and compare to a threshold voltage, each threshold determinining separated energy bins [10,21].…”

Section: Introductionmentioning

confidence: 99%

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Quantification of cartilage and subchondral bone cysts on knee specimens based on a spectral photon-counting computed tomography

Garcelon

Abascal

Olivier

et al. 2022

Preprint

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Spectral Photon-Counting Computed Tomography (SPCCT) is a new technique with the capability to provide mono-energetic (monoE) images with high signal to noise ratio. We demonstrate the feasibility of SPCCT to characterize at the same time cartilage and subchondral bone cysts (SBCs) without contrast agent in osteoarthritis (OA). To achieve this goal, 5 human knee specimens (3 normal and 2 with OA) were imaged with a clinical prototype SPCCT. The monoE images at 60 keV with isotropic voxels of 250x250x250 µm3 were compared with monoE synchrotron radiation CT (SR CT) images at 55 keV with isotropic voxels of 45x45x45 µm3 used as benchmark for cartilage segmentation. The volume and density of SBCs were evaluated in the two OA knees in SPCCT images. In 25 compartments (tibial lateral, tibial medial, femoral lateral, femoral medial and patella), the mean bias between SPCCT and SR CT analyses were 106 ± 196mm3 for cartilage volume and − 0.006mm ± 0.06 for mean cartilage thickness. The 2 OA knees displayed different SBCs profiles in terms of volume, density, and distribution according to size and location. SPCCT with fast acquisitions is able to characterize cartilage morphology and SBCs. SPCCT can be used potentially as a new tool in clinical studies in OA.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantification of cartilage and subchondral bone cysts on knee specimens based on a spectral photon-counting computed tomography

Garcelon

Abascal

Olivier

et al. 2022

Preprint

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“…Weiterhin ist der Mangel an Referenzdaten und das Fehlen einer Kreuzkalibrierung der bisher verfügbaren Geräte der ersten und zweiten Generation problematisch. In diesem Zu- Daten -konventionelle Röntgenaufnahme [47], digitales Röntgen [48], VFA [49][50][51], DXA [52,53], QCT [54,55], Photon Counting CT [44]. BWS/LWS: Brust-/Lendenwirbelsäule; VFA: Vertebral Fracture Analysis; DXA: Dual X-ray Absorptiometry; QCT: Quantitative Computer Tomography; AEC: Automatic Exposure Control -Standardtechnologie zur Dosisreduktion in der CT.…”

Section: Vertebrale Frakturanalyse (Vfa)unclassified

Messtechnische Verfahren im Kontext der DVO Leitlinie – neue Entwicklungen

Engelke¹,

Müller

Bühring

et al. 2023

Osteologie

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ZusammenfassungDie Osteodensitometrie, die Bestimmung von Knochendichte und biochemischer Knochenumbauparameter sind ein integraler Bestandteil der DVO Leitlinie. Dieser Beitrag gibt einen Überblick über neue Studien und neue technische Entwicklungen soweit sie insbesondere im Kontext der Leitlinie, also für Diagnose, Bestimmung des Frakturrisikos und Verlaufskontrolle relevant sind. Dabei stehen zunächst die Verfahren im Vordergrund, die unmittelbar zur Anpassung von Empfehlungen geführt haben. Andere Techniken wie das sogenannte „opportunistic screening“ von Routine CT Aufnahmen haben zwar noch keinen Eingang in die Leitlinie gefunden, allerdings scheint aufgrund ihres Potentials, die Identifikation von Patienten mit hohem Frakturrisiko wesentlich zu verbessern, ein Überblick auch über diese Methoden im Rahmen dieses Beitrages gerechtfertigt.

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“…69 The increased spatial resolution is particularly interesting for the assessment of bone, including subchondral bone, which is thought to play an important part in the pathophysiology of OA. [70][71][72] Peña et al 73 showed that bone mineral density and bone microstructural parameters could be measured with lower image noise and better reproducibility with photon-counting CT (PCCT) compared with energy-integrating CT (EICT). Similar performance in bone parameter measurements as EICT could further be achieved while decreasing the radiation dose by a factor of 2.3.…”

Section: Spectral and Photon-counting Ct In Oa Imagingmentioning

confidence: 99%

Latest advancements in imaging techniques in OA

Hayashi

Roemer

Link

et al. 2022

Therapeutic Advances in Musculoskeletal

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The osteoarthritis (OA) research community has been advocating a shift from radiography-based screening criteria and outcome measures in OA clinical trials to a magnetic resonance imaging (MRI)-based definition of eligibility and endpoint. For conventional morphological MRI, various semiquantitative evaluation tools are available. We have lately witnessed a remarkable technological advance in MRI techniques, including compositional/physiologic imaging and automated quantitative analyses of articular and periarticular structures. More recently, additional technologies were introduced, including positron emission tomography (PET)-MRI, weight-bearing computed tomography (CT), photon-counting spectral CT, shear wave elastography, contrast-enhanced ultrasound, multiscale X-ray phase contrast imaging, and spectroscopic photoacoustic imaging of cartilage. On top of these, we now live in an era in which artificial intelligence is increasingly utilized in medicine. Osteoarthritis imaging is no exception. Successful implementation of artificial intelligence (AI) will hopefully improve the workflow of radiologists, as well as the level of precision and reproducibility in the interpretation of images.

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Dose-efficient assessment of trabecular microstructure using ultra-high-resolution photon-counting CT

Cited by 30 publications

References 34 publications

Quantification of cartilage and subchondral bone cysts on knee specimens based on a spectral photon-counting computed tomography

Quantification of cartilage and subchondral bone cysts on knee specimens based on a spectral photon-counting computed tomography

Messtechnische Verfahren im Kontext der DVO Leitlinie – neue Entwicklungen

Latest advancements in imaging techniques in OA

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