Impact of chromophores on colour appearance in a computational skin model

Vasudev, Varun; Paepe, Lode De; Maidment, Andrew D. A.; Kimpe, Tom; Platiša, Ljiljana; Philips, Wilfried; Bakić, Predrag R.

doi:10.1117/12.2548962

Cited by 1 publication

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“…Numerous academic laboratories ( 11 , 12 ) , industrial developers ( 13 , 14 ) and governmental regulatory bodies ( 15 ) have since adopted VCTs. Several VCT use-cases have been published, including the evaluation and optimisation of digital breast tomosynthesis (DBT) ( 16–22 ) , breast and lung computed tomography (CT) ( 23–25 ) , denoising of breast X-ray images ( 26 , 27 ) and dermatology imaging ( 28 , 29 ) .…”

Section: Introductionmentioning

confidence: 99%

Virtual Clinical Trials in Medical Imaging System Evaluation and Optimisation

Barufaldi

Maidment

Dustler

et al. 2021

Radiation Protection Dosimetry

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Virtual clinical trials (VCTs) can be used to evaluate and optimise medical imaging systems. VCTs are based on computer simulations of human anatomy, imaging modalities and image interpretation. OpenVCT is an open-source framework for conducting VCTs of medical imaging, with a particular focus on breast imaging. The aim of this paper was to evaluate the OpenVCT framework in two tasks involving digital breast tomosynthesis (DBT). First, VCTs were used to perform a detailed comparison of virtual and clinical reading studies for the detection of lesions in digital mammography and DBT. Then, the framework was expanded to include mechanical imaging (MI) and was used to optimise the novel combination of simultaneous DBT and MI. The first experiments showed close agreement between the clinical and the virtual study, confirming that VCTs can predict changes in performance of DBT accurately. Work in simultaneous DBT and MI system has demonstrated that the system can be optimised in terms of the DBT image quality. We are currently working to expand the OpenVCT software to simulate MI acquisition more accurately and to include models of tumour growth. Based on our experience to date, we envision a future in which VCTs have an important role in medical imaging, including support for more imaging modalities, use with rare diseases and a role in training and testing artificial intelligence (AI) systems.

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