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The SPECTRAL Perfusion Arm Clamping dAtaset (SPECTRALPACA) for video-rate functional imaging of the skin.
Ayala, Leonardo; Mindroc-Filimon, Diana; Rees, Maike; Hübner, Marco; Sellner, Jan; Seidlitz, Silvia; Tizabi, Minu; Wirkert, Sebastian; Seitel, Alexander; Maier-Hein, Lena.
Affiliation
  • Ayala L; German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany. l.menjivar@dkfz.de.
  • Mindroc-Filimon D; Medical Faculty, Heidelberg University, Heidelberg, Germany. l.menjivar@dkfz.de.
  • Rees M; German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
  • Hübner M; German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
  • Sellner J; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
  • Seidlitz S; German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
  • Tizabi M; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
  • Wirkert S; German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
  • Seitel A; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
  • Maier-Hein L; Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany.
Sci Data ; 11(1): 536, 2024 May 25.
Article in En | MEDLINE | ID: mdl-38796545
ABSTRACT
Spectral imaging has the potential to become a key technique in interventional medicine as it unveils much richer optical information compared to conventional RBG (red, green, and blue)-based imaging. Thus allowing for high-resolution functional tissue analysis in real time. Its higher information density particularly shows promise for the development of powerful perfusion monitoring methods for clinical use. However, even though in vivo validation of such methods is crucial for their clinical translation, the biomedical field suffers from a lack of publicly available datasets for this purpose. Closing this gap, we generated the SPECTRAL Perfusion Arm Clamping dAtaset (SPECTRALPACA). It comprises ten spectral videos (∼20 Hz, approx. 20,000 frames each) systematically recorded of the hands of ten healthy human participants in different functional states. We paired each spectral video with concisely tracked regions of interest, and corresponding diffuse reflectance measurements recorded with a spectrometer. Providing the first openly accessible in human spectral video dataset for perfusion monitoring, our work facilitates the development and validation of new functional imaging methods.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Limits: Humans Language: En Journal: Sci Data / Scientific data Year: 2024 Document type: Article Affiliation country: Alemania Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Limits: Humans Language: En Journal: Sci Data / Scientific data Year: 2024 Document type: Article Affiliation country: Alemania Country of publication: Reino Unido