Abstract:
This measurement data selection method: treats a vector comprising measurement data y1 to yN1 obtained for each combination among a plurality of light exit positions, a plurality of light detection positions, and a plurality of time slices in a time-resolved waveform as (1); treats a vector, which has pixel values of learning-use image data prepared beforehand as examples of internal image data as components, as x; and treats a system matrix for calculating the internal image data on the basis of the measurement data y1 to yN1 as A1. Then, a vector y which satisfies the following conditional expressions (2) and (3) or which satisfies the following conditional expression (4) is obtained by back-calculation. When measuring a subject, the internal image data are created using only measurement data corresponding to non-zero components of the vector y.
Abstract:
Messdaten-Auswahlverfahren für eine biometrische Vorrichtung, Lichtaustrittspositions-Ermittlungsverfahren für eine biometrische Vorrichtung und biometrische Vorrichtung Wenn bei dem Messdaten-Auswahlverfahren ein Vektor, der sich aus Messdaten y1 bis yN1 zusammensetzt, die für entsprechende Kombinationen einer Vielzahl von Lichtemissionspositionen, einer Vielzahl von Lichterfassungspositionen und einer Vielzahl von Auflösungszeiten in einer zeitaufgelösten Wellenform gewonnen worden sind, gegeben ist durch [Formel 1]ein Vektor, bei dem Bildpunktwerte von Lernbilddaten, die im Voraus als Beispiel für Innenbilddaten bereitgestellt werden, Komponenten sind, durch x gegeben ist und eine Systemmatrix zum Berechnen der Innenbilddaten aus den Messdaten y1 bis yN1 durch A1 gegeben ist, wird der Vektor y, der die folgenden bedingten Ausdrücke (2) und (3) erfüllt [Formel 2] min∥y∥00 (2)[Formel 3] ∥x – A1 Ty∥22 ≤ &egr;2 (3)oder der den folgenden bedingten Ausdruck (4) erfüllt [Formel 4] min(∥y∥00 + &bgr;∥x – A1 Ty∥22 )(4) ...
Abstract:
The bioinstrumentation apparatus 10 includes a light irradiation unit irradiating a measurement region B with light, a light detection unit detecting diffused light from the measurement region, and a computing unit 14 generating a reconstructed image for the interior of the measurement region. The computing unit 14 calculates J coefficients w j set for every pixel of the reconstructed image and more than 0 and not more than 1 (where J is the number of pixels of the reconstructed image) and carries out successive approximation computation by the following iterative formula x j k + 1 = x j k + w j �¢ d j k (where k is an integer from 1 to N, N is the number of times of iterative computation, x j (k) is a pixel value of the jth pixel on the kth iterative computation, and d j (k) is an update amount of the jth pixel on the kth iterative computation) to generate the reconstructed image. Thereby, there are provided a bioinstrumentation apparatus and an image generating method capable of suppressing a difference in spatial resolution and noise characteristics depending on a position inside the measurement region to generate an image which is uniform to a greater extent.
Abstract:
PROBLEM TO BE SOLVED: To shorten the creation time for image data by decreasing the number of measurement data required fro creating the image data.SOLUTION: In this measurement data selection method, when measurement data obtained for every combination of a plurality of light emission positions, a plurality of photo detecting positions and a plurality of resolution times in the time resolution waveform is taken as y, a vector, the component of which is a pixel value of learning image data previously provided as an example of internal image data is taken as an x, and a system matrix for calculating the internal image data from the measurement data y is taken as A, the following conditional expression is satisfied, or a vector y satisfying the following conditional expression is obtained by inverse operation, and in measuring a subject, internal image data is created using only measurement data corresponding to the component of the vector y that is not zero.
Abstract:
PROBLEM TO BE SOLVED: To provide a biological measurement apparatus and an image formation method that can form an image which is as uniform as possible by suppressing differences in spatial resolution and noise characteristic with positions in a region to be measured.SOLUTION: A biological measurement apparatus 10 includes a light irradiation part which irradiates a region B to be measured with light, an optical detection part which detects diffused light from the region to be measured, and an arithmetic part 14 which forms a reconstructed image associated with the interior of the region to be measured. The operation part 14 forms the reconstructed image by calculating J coefficients w(J is the number of pixels of the reconstructed image) which are set by the pixels of the reconstructed image, and larger than 0 and equal to or less than 1, and performing a sequential approximation operation using an iterative expression (where (k) is an integer of 1 to N, N is the number of times of iterative operation, xis a pixel value in a (k)th iterative operation of a (j)th pixel, and dis an update quantity in the (k)th iterative operation of the (j)th pixel).