Accuracy of geometrical modelling of heat transfer from tissue to blood vessels

Leeuwen, van; Kotte, Antj Alexis; Bree, de J; Koijk, van der Jf; Crezee, J.; Lagendijk, J.J.W.

doi:10.1088/0031-9155/42/7/017

Cited by 26 publications

(12 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Important factors are the number, length, and diameter of the vessels, and also the velocity of blood flow [24]. CREZEE described the relationship between tumor perfusion and heating of the tumor tissue under systemic hyperthermia.…”

Section: Discussionmentioning

confidence: 99%

The impact of surgery and mild hyperthermia on tumor response and angioneogenesis of malignant melanoma in a rat perfusion model

et al. 2004

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

The impact of surgery and mild hyperthermia on tumor response and angioneogenesis of malignant melanoma in a rat perfusion model

et al. 2004

View full text Add to dashboard Cite

show abstract

“…The thermal simulations are based on the geometry G MR , superimposed with the tracked vasculature, the two comprising the computational domain for the DIVA program. DIVA was verified both theoretically, by Van Leeuwen et al 26,27 and experimentally, by Raaymakers et al 28,29 DIVA models the heat transfer in perfused tissue. The thermal impact of each discrete vessel is taken into account individually.…”

Section: Thermal Simulations With Divamentioning

confidence: 91%

Discretizing large traceable vessels and using DE‐MRI perfusion maps yields numerical temperature contours that match the MR noninvasive measurements

et al. 2001

View full text Add to dashboard Cite

The success of hyperthermia treatments is dependent on thermal dose distribution. However, the three-dimensional temperature distribution remains largely unknown. Without this knowledge, the relationship between thermal dose and outcome is noisy, and therapy cannot be optimized. Accurate computations of thermal distribution can contribute to an optimized therapy. The hyperthermia modeling group in the Department of Radiotherapy, University Medical Center Utrecht devised a Discrete Vasculature [Kotte et al., Phys. Med. Biol. 41, 865-884 (1996)] model that accounts for the presence of vessel trees in the computational domain. The vessel tree geometry is tracked using magnetic resonance (MR) angiograms to a minimum diameter between 0.6 and 1 mm. However, smaller vessels (0.2-0.6 mm) are known to account for significant heat transfer. The hyperthermia group at Duke University Medical Center has proposed using perfusion maps derived from dynamic-enhanced magnetic resonance imaging to account for the tissue perfusion heterogeneity [Craciunescu et al., Int. J. Hyperthermia 17, 221-239 (2001)]. In addition, techniques for noninvasive temperature measurements have been devised to measure temperatures in vivo [Samulski et al., Int. J. Hypertherminal, 819-829 (1992)]. In this work, a patient with high-grade sarcoma has been retrospectively modeled to determine the temperature distribution achieved during a hyperthermia treatment. Available for this model were MR depicted geometry, angiograms, perfusion maps, as necessary for accurate thermal modeling, as well as MR thermometry data for validation purposes. The vasculature assembly through modifiable potential program [Van Leeuwen et al., IEEE Trans. Biomed. Eng. 45, 596-604 (1998)] was used in order to incorporate the traceable large vessels. Temperature simulations were made using different approaches to describe perfusion. The simulated cases were the bioheat equation with constant perfusion rates per tissue type, perfusion maps alone, tracked vessel tree and perfusion maps, and generated vessel tree. The results were compared with MR thermometry data for a single patient data set, concluding that a combination between large traceable vessels and perfusion map yields the best results for this particular patient. The technique has to be repeated on several patients, first with the same type of malignancy, and after that, on patients having malignancies at other different sites.

show abstract

“…The accuracy of the DIVA model has been examined for tissue grids with a resolution that was a factor 5-10 lower compared to the vessel diameter using model situations for which analytical solutions can be derived. 52 Deviations between numerical and analytical solutions were found to be within a few percent. Furthermore, the DIVA model has been validated using isolated perfused animal tissue.…”

Section: Appendix: Discrete Vasculature Modelingmentioning

confidence: 92%

Fast thermal simulations and temperature optimization for hyperthermia treatment planning, including realistic 3D vessel networks

Kok¹,

Berg²,

Bel³

et al. 2013

Medical Physics

View full text Add to dashboard Cite

show abstract

Accuracy of geometrical modelling of heat transfer from tissue to blood vessels

Cited by 26 publications

References 2 publications

The impact of surgery and mild hyperthermia on tumor response and angioneogenesis of malignant melanoma in a rat perfusion model

The impact of surgery and mild hyperthermia on tumor response and angioneogenesis of malignant melanoma in a rat perfusion model

Discretizing large traceable vessels and using DE‐MRI perfusion maps yields numerical temperature contours that match the MR noninvasive measurements

Fast thermal simulations and temperature optimization for hyperthermia treatment planning, including realistic 3D vessel networks

Contact Info

Product

Resources

About