Technical Note: Development of a cranial phantom for assessing perfusion, diffusion, and biomechanics

Naoki Ohno, Tosiaki Miyati, Tomohiro Chigusa, Hikari Usui, Shota Ishida, Yuki Hiramatsu, Satoshi Kobayashi, Toshifumi Gabata, Noam Alperin

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

CONCLUSION: Our original phantom models the relationships among the blood perfusion, water diffusion, and biomechanics of the intracranial tissue, potentially facilitating the validation of novel MRI techniques and optimization of imaging parameters.

PURPOSE: A novel cranial phantom was developed to simulate the relationships among factors such as blood perfusion, water diffusion, and biomechanics in intracranial tissue.

METHODS: The cranial phantom consisted of a high-density polypropylene filter (mimicking brain parenchyma) with intra- and extrafilter spaces (mimicking cerebral artery and vein, respectively), and a capacitor space (mimicking the cerebrospinal fluid space). Pulsatile and steady flow with different flow rates were applied to the cranial phantom using a programmable pump. On 3.0-T MRI, the measurements of the internal pressure in the phantom, apparent diffusion coefficient (ADC) with monoexponential analysis in the filter, and total simulated cerebral blood flow (tSCBF) into the phantom were synchronized with the pulsatile flow. We obtained their maximum changes during the pulsation period (ΔP, ΔADC, and ΔtSCBF, respectively). Then, the compliance index (CI) was calculated by dividing the volume change (ΔV) by the ΔP in the phantom. Moreover, the same measurements were repeated after the compliance of the phantom was reduced by increasing the water volume in the capacitor space. Under steady flow conditions, we determined the regional SCBF (rSCBF) and perfusion-related and restricted diffusion coefficients (D* and D, respectively) with biexponential analysis in the filter.

RESULTS: The internal pressure, ADC, and tSCBF varied over the pulsation period depending on the input flow. Moreover, the ΔP, ΔADC, ΔtSCBF, and rSCBF increased with the input flow rate. Compared to the high compliance condition, in the low compliance condition, the ΔP and ΔADC were higher by factors of 2.5 and 1.3, respectively, and the CI was smaller by a factor of 2.7, whereas the ΔV was almost unchanged. The D* was strongly affected by the input flow.

Original languageEnglish (US)
Pages (from-to)1646-1654
Number of pages9
JournalMedical Physics
Volume44
Issue number5
DOIs
StatePublished - May 1 2017

Fingerprint

Biomechanical Phenomena
Cerebrovascular Circulation
Perfusion
Compliance
Pulsatile Flow
Water
Cerebral Veins
Pressure
Cerebral Arteries
Polypropylenes
Cerebrospinal Fluid
Brain

Keywords

  • apparent diffusion coefficient
  • cerebral blood flow
  • cranial phantom
  • intracranial compliance

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

Cite this

Technical Note : Development of a cranial phantom for assessing perfusion, diffusion, and biomechanics. / Ohno, Naoki; Miyati, Tosiaki; Chigusa, Tomohiro; Usui, Hikari; Ishida, Shota; Hiramatsu, Yuki; Kobayashi, Satoshi; Gabata, Toshifumi; Alperin, Noam.

In: Medical Physics, Vol. 44, No. 5, 01.05.2017, p. 1646-1654.

Research output: Contribution to journalArticle

Ohno, N, Miyati, T, Chigusa, T, Usui, H, Ishida, S, Hiramatsu, Y, Kobayashi, S, Gabata, T & Alperin, N 2017, 'Technical Note: Development of a cranial phantom for assessing perfusion, diffusion, and biomechanics', Medical Physics, vol. 44, no. 5, pp. 1646-1654. https://doi.org/10.1002/mp.12182
Ohno, Naoki ; Miyati, Tosiaki ; Chigusa, Tomohiro ; Usui, Hikari ; Ishida, Shota ; Hiramatsu, Yuki ; Kobayashi, Satoshi ; Gabata, Toshifumi ; Alperin, Noam. / Technical Note : Development of a cranial phantom for assessing perfusion, diffusion, and biomechanics. In: Medical Physics. 2017 ; Vol. 44, No. 5. pp. 1646-1654.
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T2 - Development of a cranial phantom for assessing perfusion, diffusion, and biomechanics

AU - Ohno, Naoki

AU - Miyati, Tosiaki

AU - Chigusa, Tomohiro

AU - Usui, Hikari

AU - Ishida, Shota

AU - Hiramatsu, Yuki

AU - Kobayashi, Satoshi

AU - Gabata, Toshifumi

AU - Alperin, Noam

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N2 - CONCLUSION: Our original phantom models the relationships among the blood perfusion, water diffusion, and biomechanics of the intracranial tissue, potentially facilitating the validation of novel MRI techniques and optimization of imaging parameters.PURPOSE: A novel cranial phantom was developed to simulate the relationships among factors such as blood perfusion, water diffusion, and biomechanics in intracranial tissue.METHODS: The cranial phantom consisted of a high-density polypropylene filter (mimicking brain parenchyma) with intra- and extrafilter spaces (mimicking cerebral artery and vein, respectively), and a capacitor space (mimicking the cerebrospinal fluid space). Pulsatile and steady flow with different flow rates were applied to the cranial phantom using a programmable pump. On 3.0-T MRI, the measurements of the internal pressure in the phantom, apparent diffusion coefficient (ADC) with monoexponential analysis in the filter, and total simulated cerebral blood flow (tSCBF) into the phantom were synchronized with the pulsatile flow. We obtained their maximum changes during the pulsation period (ΔP, ΔADC, and ΔtSCBF, respectively). Then, the compliance index (CI) was calculated by dividing the volume change (ΔV) by the ΔP in the phantom. Moreover, the same measurements were repeated after the compliance of the phantom was reduced by increasing the water volume in the capacitor space. Under steady flow conditions, we determined the regional SCBF (rSCBF) and perfusion-related and restricted diffusion coefficients (D* and D, respectively) with biexponential analysis in the filter.RESULTS: The internal pressure, ADC, and tSCBF varied over the pulsation period depending on the input flow. Moreover, the ΔP, ΔADC, ΔtSCBF, and rSCBF increased with the input flow rate. Compared to the high compliance condition, in the low compliance condition, the ΔP and ΔADC were higher by factors of 2.5 and 1.3, respectively, and the CI was smaller by a factor of 2.7, whereas the ΔV was almost unchanged. The D* was strongly affected by the input flow.

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