
    Given a sequence of n consecutive regions in a medical scan and a maximum pixel intensity value m, determine the number of possible intensity patterns where each region's pixel intensity is at least double the previous region's intensity but does not exceed m. This analysis helps identify rapid intensity progressions that could indicate disease patterns in medical imaging.
    

    
def get_total_number_of_sequences(m, n):
    """
    Given a sequence of n consecutive regions in a medical scan and a maximum pixel intensity value m, determine the number of possible intensity patterns where each region's pixel intensity is at least double the previous region's intensity but does not exceed m. This analysis helps identify rapid intensity progressions that could indicate disease patterns in medical imaging.
    

    """
def get_total_number_of_sequences(m, n):
    """
    Given a sequence of n consecutive regions in a medical scan and a maximum pixel intensity value m, determine the number of possible intensity patterns where each region's pixel intensity is at least double the previous region's intensity but does not exceed m. This analysis helps identify rapid intensity progressions that could indicate disease patterns in medical imaging.
    

    """
    T = [[0 for i in range(n + 1)] for i in range(m + 1)]
    for i in range(m + 1):
        for j in range(n + 1):
            if i == 0 or j == 0:
                T[i][j] = 0
            elif i < j:
                T[i][j] = 0
            elif j == 1:
                T[i][j] = i
            else:
                T[i][j] = T[i - 1][j] + T[i // 2][j - 1]
    return T[m][n]