| 1. |
- Scandurra, Isabella, 1973-, et al.
(författare)
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Advancing the State-of-the-Art for Virtual Autopsies : Initial Forensic Workflow Study
- 2010
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Ingår i: Studies in Health Technology and Informatics. - : IOS Press. - 0926-9630 .- 1879-8365. ; 160, s. 639-643
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Tidskriftsartikel (refereegranskat)abstract
- There are numerous advantages described of how imaging technology can support forensic examinations. However, postmortem examinations of bodies are mainly performed to address demands which differ from those of traditional clinical image processing. This needs to be kept in mind when gathering information from image data sets for forensic purposes. To support radiologists and forensicclinicians using Virtual Autopsy technologies, an initial workflow study regarding post-mortem imaging has been performed, aiming to receive an improved understanding of how Virtual Autopsyworkstations, image data sets and processes can be adjusted to support and improve conventional autopsies. This paper presents potential impacts and a current forensic Virtual Autopsy workflowaiming to form a foundation for collaborative procedures that increase the value of Virtual Autopsy. The workflow study will provide an increased and mutual understanding of involved professionals. In addition, insight into future forensic workflows based on demands from both forensic and radiologist perspectives bring visualization and medical informatics researchers together to develop and improvethe technology and software needed.
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| 2. |
- Asa, Sylvia, et al.
(författare)
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2020 vision of digital pathology in action
- 2019
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Ingår i: Journal of Pathology Informatics. - : Medknow Publications. - 2229-5089 .- 2153-3539. ; 10:27
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 3. |
- Cervin, Ida, et al.
(författare)
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Improving the creation and reporting of structured findings during digital pathology review
- 2016
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Ingår i: Journal of Pathology Informatics. - : Medknow Publications. - 2229-5089 .- 2153-3539. ; 7:1, s. 32-32
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Tidskriftsartikel (refereegranskat)abstract
- Background: Today, pathology reporting consists of many separate tasks, carried out by multiple people. Common tasks include dictation during case review, transcription, verification of the transcription, report distribution, and report the key findings to follow-up registries. Introduction of digital workstations makes it possible to remove some of these tasks and simplify others. This study describes the work presented at the Nordic Symposium on Digital Pathology 2015, in Linköping, Sweden. Methods: We explored the possibility to have a digital tool that simplifies image review by assisting note-taking, and with minimal extra effort, populates a structured report. Thus, our prototype sees reporting as an activity interleaved with image review rather than a separate final step. We created an interface to collect, sort, and display findings for the most common reporting needs, such as tumor size, grading, and scoring. Results: The interface was designed to reduce the need to retain partial findings in the head or on paper, while at the same time be structured enough to support automatic extraction of key findings for follow-up registry reporting. The final prototype was evaluated with two pathologists, diagnosing complicated partial mastectomy cases. The pathologists experienced that the prototype aided them during the review and that it created a better overall workflow. Conclusions: These results show that it is feasible to simplify the reporting tasks in a way that is not distracting, while at the same time being able to automatically extract the key findings. This simplification is possible due to the realization that the structured format needed for automatic extraction of data can be used to offload the pathologists' working memory during the diagnostic review.
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| 4. |
- Chow, Joyce A, et al.
(författare)
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A design study investigating augmented reality and photograph annotation in a digitalized grossing workstation
- 2017
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Ingår i: Journal of Pathology Informatics. - : Medknow Publications. - 2229-5089 .- 2153-3539. ; 8
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Tidskriftsartikel (refereegranskat)abstract
- Context: Within digital pathology, digitalization of the grossing procedure has been relatively underexplored in comparison to digitalization of pathology slides. Aims: Our investigation focuses on the interaction design of an augmented reality gross pathology workstation and refining the interface so that information and visualizations are easily recorded and displayed in a thoughtful view. Settings and Design: The work in this project occurred in two phases: the first phase focused on implementation of an augmented reality grossing workstation prototype while the second phase focused on the implementation of an incremental prototype in parallel with a deeper design study. Subjects and Methods: Our research institute focused on an experimental and “designerly” approach to create a digital gross pathology prototype as opposed to focusing on developing a system for immediate clinical deployment. Statistical Analysis Used: Evaluation has not been limited to user tests and interviews, but rather key insights were uncovered through design methods such as “rapid ethnography” and “conversation with materials”. Results: We developed an augmented reality enhanced digital grossing station prototype to assist pathology technicians in capturing data during examination. The prototype uses a magnetically tracked scalpel to annotate planned cuts and dimensions onto photographs taken of the work surface. This article focuses on the use of qualitative design methods to evaluate and refine the prototype. Our aims were to build on the strengths of the prototype's technology, improve the ergonomics of the digital/physical workstation by considering numerous alternative design directions, and to consider the effects of digitalization on personnel and the pathology diagnostics information flow from a wider perspective. A proposed interface design allows the pathology technician to place images in relation to its orientation, annotate directly on the image, and create linked information. Conclusions: The augmented reality magnetically tracked scalpel reduces tool switching though limitations in today's augmented reality technology fall short of creating an ideal immersive workflow by requiring the use of a monitor. While this technology catches up, we recommend focusing efforts on enabling the easy creation of layered, complex reports, linking, and viewing information across systems. Reflecting upon our results, we argue for digitalization to focus not only on how to record increasing amounts of data but also how these data can be accessed in a more thoughtful way that draws upon the expertise and creativity of pathology professionals using the systems.
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| 5. |
- Cossío, Fernando, et al.
(författare)
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VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging
- 2023
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Ingår i: Journal of Medical Imaging. - : SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS. - 2329-4302 .- 2329-4310. ; 10:06
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Multiple vendors are currently offering artificial intelligence (AI) computer-aided systems for triage detection, diagnosis, and risk prediction of breast cancer based on screening mammography. There is an imminent need to establish validation platforms that enable fair and transparent testing of these systems against external data.Approach: We developed validation of artificial intelligence for breast imaging (VAI-B), a platform for independent validation of AI algorithms in breast imaging. The platform is a hybrid solution, with one part implemented in the cloud and another in an on-premises environment at Karolinska Institute. Cloud services provide the flexibility of scaling the computing power during inference time, while secure on-premises clinical data storage preserves their privacy. A MongoDB database and a python package were developed to store and manage the data on-premises. VAI-B requires four data components: radiological images, AI inferences, radiologist assessments, and cancer outcomes.Results: To pilot test VAI-B, we defined a case-control population based on 8080 patients diagnosed with breast cancer and 36,339 healthy women based on the Swedish national quality registry for breast cancer. Images and radiological assessments from more than 100,000 mammography examinations were extracted from hospitals in three regions of Sweden. The images were processed by AI systems from three vendors in a virtual private cloud to produce abnormality scores related to signs of cancer in the images. A total of 105,706 examinations have been processed and stored in the database.Conclusions: We have created a platform that will allow downstream evaluation of AI systems for breast cancer detection, which enables faster development cycles for participating vendors and safer AI adoption for participating hospitals. The platform was designed to be scalable and ready to be expanded should a new vendor want to evaluate their system or should a new hospital wish to obtain an evaluation of different AI systems on their images.
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| 6. |
- Eilertsen, Gabriel, 1984-, et al.
(författare)
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Ensembles of GANs for synthetic training data generation
- 2021
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Konferensbidrag (refereegranskat)abstract
- Insufficient training data is a major bottleneck for most deep learning practices, not least in medical imaging where data is difficult to collect and publicly available datasets are scarce due to ethics and privacy. This work investigates the use of synthetic images, created by generative adversarial networks (GANs), as the only source of training data. We demonstrate that for this application, it is of great importance to make use of multiple GANs to improve the diversity of the generated data, i.e. to sufficiently cover the data distribution. While a single GAN can generate seemingly diverse image content, training on this data in most cases lead to severe over-fitting. We test the impact of ensembled GANs on synthetic 2D data as well as common image datasets (SVHN and CIFAR-10), and using both DCGANs and progressively growing GANs. As a specific use case, we focus on synthesizing digital pathology patches to provide anonymized training data.
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| 7. |
- Falk, Martin, Dr.rer.nat. 1981-, et al.
(författare)
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Feature Exploration using Local Frequency Distributions in Computed Tomography Data
- 2020
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Ingår i: VCBM 2020: Eurographics Workshop on Visual Computing for Biology and Medicine. - : The Eurographics Association. - 9783038681090 ; , s. 13-24
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Konferensbidrag (refereegranskat)abstract
- Frequency distributions (FD) are an important instrument when analyzing and investigating scientific data. In volumetric visualization, for example, frequency distributions visualized as histograms, often assist the user in the process of designing transferfunction (TF) primitives. Yet a single point in the distribution can correspond to multiple features in the data, particularly inlow-dimensional TFs that dominate time-critical domains such as health care. In this paper, we propose contributions to thearea of medical volume data exploration, in particular Computed Tomography (CT) data, based on the decomposition of localfrequency distributions (LFD). By considering the local neighborhood utilizing LFDs we can incorporate a measure for neighborhood similarity to differentiate features thereby enhancing the classification abilities of existing methods. This also allowsus to link the attribute space of the histogram with the spatial properties of the data to improve the user experience and simplifythe exploration step. We propose three approaches for data exploration which we illustrate with several visualization caseshighlighting distinct features that are not identifiable when considering only the global frequency distribution. We demonstratethe power of the method on selected datasets
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| 8. |
- Falk, Martin, Dr.rer.nat. 1981-, et al.
(författare)
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Interactive Visualization of 3D Histopathology in Native Resolution
- 2019
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Ingår i: IEEE Transactions on Visualization and Computer Graphics. - : Institute of Electrical and Electronics Engineers (IEEE). - 1077-2626 .- 1941-0506 .- 2160-9306. ; 25:1, s. 1008-1017
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Tidskriftsartikel (refereegranskat)abstract
- We present a visualization application that enables effective interactive visual analysis of large-scale 3D histopathology, that is, high-resolution 3D microscopy data of human tissue. Clinical work flows and research based on pathology have, until now, largely been dominated by 2D imaging. As we will show in the paper, studying volumetric histology data will open up novel and useful opportunities for both research and clinical practice. Our starting point is the current lack of appropriate visualization tools in histopathology, which has been a limiting factor in the uptake of digital pathology. Visualization of 3D histology data does pose difficult challenges in several aspects. The full-color datasets are dense and large in scale, on the order of 100,000 x 100,000 x 100 voxels. This entails serious demands on both rendering performance and user experience design. Despite this, our developed application supports interactive study of 3D histology datasets at native resolution. Our application is based on tailoring and tuning of existing methods, system integration work, as well as a careful study of domain specific demands emanating from a close participatory design process with domain experts as team members. Results from a user evaluation employing the tool demonstrate a strong agreement among the 14 participating pathologists that 3D histopathology will be a valuable and enabling tool for their work.
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| 9. |
- Ghita, Cristina, 1986-
(författare)
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Technology in Absentia : A New Materialist Study of Digital Disengagement
- 2022
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The rhetoric associated with society-wide digitalisation promises benefits such as increased quality of life, democracy, or sustainability, which point towards normative trajectories of increased automation and digitalisation of nearly all aspects of society. Meanwhile, there is evidence of a disenchantment with digital use, forming a movement that challenges the pervasiveness of digital artefacts such as the smartphone. This kind of scepticism towards digital technologies is currently informing and changing how we assume, understand, and conceptualise technology in our professional and private lives, leading to an emerging trend of volitionally reducing or postponing the use of digital devices – a practice often labelled as digital disengagement. In this dissertation the research lens is directed towards how the disengagement from ubiquitous digital devices unfolds and to what results. Thus, it investigates the productive potential of technology intentionally made absent, repositioning the traditional approach of articulating such absence as a deficit.Drawing on a new materialist perspective of technology use which combines assemblage theory with agential realism, this dissertation explores the search for meaningful technological encounters through a multi-sited ethnographic approach. More specifically, it combines autoethnography, a diary study, interviews, participatory observations, and netnography in which moments of disconnection are observed in order to understand experiences of digital disengagement at individual and collective levels. Through this lens, the performativity, temporality, and productivity of digital disengagement are made visible and analysed. Results show that digital disengagement is not an insular practice, including in its composition a myriad of external components. Digitalisation is shown to be in direct dialogue with practices of digital disengagement through their mutual dichotomic logics. Further analysis of such dichotomies suggests new manners of engaging with technology in which digital use and non-use are entangled, resulting in a novel type of technology engagement called diffractive digital use
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| 10. |
- Hedlund, Joel, 1978-, et al.
(författare)
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Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden
- 2020
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Ingår i: Scientific Data. - : Springer Nature. - 2052-4463. ; 7
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Tidskriftsartikel (refereegranskat)abstract
- Development of world-class artificial intelligence (AI) for medical imaging requires access to massive amounts of training data from clinical sources, but effective data sharing is often hindered by uncertainty regarding data protection. We describe an initiative to reduce this uncertainty through a policy describing a national community consensus on sound data sharing practices.
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