Skip to main content

2023 | OriginalPaper | Buchkapitel

Three-Dimensional Representation and Visualization of High-Grade and Low-Grade Glioma by Nakagami Imaging

verfasst von : Orcan Alpar, Ondrej Krejcar

Erschienen in: Bioinformatics and Biomedical Engineering

Verlag: Springer Nature Switzerland

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Three-dimensional (3D) visualization of the brain tumors reconstructed from the two-dimensional (2D) magnetic resonance imaging (MRI) sequences plays an important role in volumetric calculations. The reconstructions are usually executed using the fluid attenuated inversion recovery (FLAIR) sequences, where the whole tumors appear brighter than the healthy surrounding tissues. Without any processing; however, reconstruction results might be inconclusive; therefore, we propose a mathematical m-parametric Nakagami imaging for highlighting the lesions. The raw 2D FLAIR MRI images are taken from BraTS 2012 dataset and the highlighted images are generated by the Nakagami imaging. The information on the MRI slices is compiled in three-layered Nakagami images for better visualization of the high-grade and low-grade glioma in 3D space. By the flexible m-parametric design, on the other hand, the reconstructed images might easily be adjusted according to the GT images for precise representation.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Nakagami, M.: The m distribution—a general formula of intensity. In: Statistical Methods in Radio Wave Propagation, Pergamon, pp. 3–36 (1960) Nakagami, M.: The m distribution—a general formula of intensity. In: Statistical Methods in Radio Wave Propagation, Pergamon, pp. 3–36 (1960)
2.
Zurück zum Zitat Shankar, P.M.: A general statistical model for ultrasonic backscattering from tissues. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 47(3), 727–736 (2000)CrossRef Shankar, P.M.: A general statistical model for ultrasonic backscattering from tissues. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 47(3), 727–736 (2000)CrossRef
3.
Zurück zum Zitat Shankar, P.M.: Ultrasonic tissue characterization using a generalized Nakagami model. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 48(6), 1716–1720 (2001)CrossRefPubMed Shankar, P.M.: Ultrasonic tissue characterization using a generalized Nakagami model. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 48(6), 1716–1720 (2001)CrossRefPubMed
4.
Zurück zum Zitat Yeo, S., Yoon, C., Lien, C.L., Song, T.K., Shung, K.K.: Monitoring of adult zebrafish heart regeneration using high-frequency ultrasound spectral doppler and nakagami imaging. Sensors 19(19), 4094 (2019)CrossRefPubMedPubMedCentral Yeo, S., Yoon, C., Lien, C.L., Song, T.K., Shung, K.K.: Monitoring of adult zebrafish heart regeneration using high-frequency ultrasound spectral doppler and nakagami imaging. Sensors 19(19), 4094 (2019)CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Zhou, Z., et al.: Hepatic steatosis assessment with ultrasound small-window entropy imaging. Ultrasound Med. Biol. 44(7), 1327–1340 (2018)CrossRefPubMed Zhou, Z., et al.: Hepatic steatosis assessment with ultrasound small-window entropy imaging. Ultrasound Med. Biol. 44(7), 1327–1340 (2018)CrossRefPubMed
6.
Zurück zum Zitat Zhang, S., et al.: Ex Vivo and In Vivo monitoring and characterization of thermal lesions by high-intensity focused ultrasound and microwave ablation using ultrasonic Nakagami imaging. IEEE Trans. Med. Imaging 37(7), 1701–1710 (2018)CrossRefPubMed Zhang, S., et al.: Ex Vivo and In Vivo monitoring and characterization of thermal lesions by high-intensity focused ultrasound and microwave ablation using ultrasonic Nakagami imaging. IEEE Trans. Med. Imaging 37(7), 1701–1710 (2018)CrossRefPubMed
7.
Zurück zum Zitat Tsui, P.H., et al.: Small-window parametric imaging based on information entropy for ultrasound tissue characterization. Sci. Rep. 7, 41004 (2017)CrossRefPubMedPubMedCentral Tsui, P.H., et al.: Small-window parametric imaging based on information entropy for ultrasound tissue characterization. Sci. Rep. 7, 41004 (2017)CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Han, M., Wang, N., Guo, S., Chang, N., Lu, S., Wan, M.: Nakagami-m parametric imaging for characterization of thermal coagulation and cavitation erosion induced by HIFU. Ultrason. Sonochem. 45, 78–85 (2018)CrossRefPubMed Han, M., Wang, N., Guo, S., Chang, N., Lu, S., Wan, M.: Nakagami-m parametric imaging for characterization of thermal coagulation and cavitation erosion induced by HIFU. Ultrason. Sonochem. 45, 78–85 (2018)CrossRefPubMed
9.
Zurück zum Zitat Tsui, P.H., Ho, M.C., Tai, D.I., Lin, Y.H., Wang, C.Y., Ma, H.Y.: Acoustic structure quantification by using ultrasound Nakagami imaging for assessing liver fibrosis. Sci. Rep. 6, 33075 (2016)CrossRefPubMedPubMedCentral Tsui, P.H., Ho, M.C., Tai, D.I., Lin, Y.H., Wang, C.Y., Ma, H.Y.: Acoustic structure quantification by using ultrasound Nakagami imaging for assessing liver fibrosis. Sci. Rep. 6, 33075 (2016)CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Ma, H.Y., Lin, Y.H., Wang, C.Y., Chen, C.N., Ho, M.C., Tsui, P.H.: Ultrasound window-modulated compounding Nakagami imaging: resolution improvement and computational acceleration for liver characterization. Ultrasonics 70, 18–28 (2016)CrossRefPubMed Ma, H.Y., Lin, Y.H., Wang, C.Y., Chen, C.N., Ho, M.C., Tsui, P.H.: Ultrasound window-modulated compounding Nakagami imaging: resolution improvement and computational acceleration for liver characterization. Ultrasonics 70, 18–28 (2016)CrossRefPubMed
11.
Zurück zum Zitat Tsui, P.H., Wan, Y.L.: Application of ultrasound nakagami imaging for the diagnosis of fatty liver. J. Med. Ultrasound 24(2), 47–49 (2016)CrossRef Tsui, P.H., Wan, Y.L.: Application of ultrasound nakagami imaging for the diagnosis of fatty liver. J. Med. Ultrasound 24(2), 47–49 (2016)CrossRef
13.
Zurück zum Zitat Alpar, O., Dolezal, R., Ryska, P., Krejcar, O.: Nakagami-Fuzzy imaging framework for precise lesion segmentation in MRI. Pattern Recogn. 128, 108675 (2022)CrossRef Alpar, O., Dolezal, R., Ryska, P., Krejcar, O.: Nakagami-Fuzzy imaging framework for precise lesion segmentation in MRI. Pattern Recogn. 128, 108675 (2022)CrossRef
14.
Zurück zum Zitat Alpar, O., Krejcar, O., Dolezal, R.: Distribution-based imaging for multiple sclerosis lesion segmentation using specialized fuzzy 2-means powered by Nakagami transmutations. Appl. Soft Comput. 108, 107481 (2021)CrossRef Alpar, O., Krejcar, O., Dolezal, R.: Distribution-based imaging for multiple sclerosis lesion segmentation using specialized fuzzy 2-means powered by Nakagami transmutations. Appl. Soft Comput. 108, 107481 (2021)CrossRef
15.
Zurück zum Zitat Alpar, O.: A mathematical fuzzy fusion framework for whole tumor segmentation in multimodal MRI using Nakagami imaging. Expert Syst. Appl. 216, 119462 (2023)CrossRef Alpar, O.: A mathematical fuzzy fusion framework for whole tumor segmentation in multimodal MRI using Nakagami imaging. Expert Syst. Appl. 216, 119462 (2023)CrossRef
16.
Zurück zum Zitat Alpar, O.: Nakagami imaging with related distributions for advanced thermogram pseudocolorization. J. Therm. Biol 93, 102704 (2020)CrossRefPubMed Alpar, O.: Nakagami imaging with related distributions for advanced thermogram pseudocolorization. J. Therm. Biol 93, 102704 (2020)CrossRefPubMed
17.
Zurück zum Zitat Kistler, M., Bonaretti, S., Pfahrer, M., Niklaus, R., Büchler, P.: The virtual skeleton database: an open access repository for biomedical research and collaboration. J. Med. Internet Res. 15(11), e245 (2013)CrossRefPubMedPubMedCentral Kistler, M., Bonaretti, S., Pfahrer, M., Niklaus, R., Büchler, P.: The virtual skeleton database: an open access repository for biomedical research and collaboration. J. Med. Internet Res. 15(11), e245 (2013)CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Menze, B.H., et al.: The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans. Med. Imaging 34(10), 1993–2024 (2014) Menze, B.H., et al.: The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans. Med. Imaging 34(10), 1993–2024 (2014)
Metadaten
Titel
Three-Dimensional Representation and Visualization of High-Grade and Low-Grade Glioma by Nakagami Imaging
verfasst von
Orcan Alpar
Ondrej Krejcar
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-34953-9_11

Premium Partner